The following 708 publications cited the Vegetation Collection project.
Year | Citation | Dataset or Project |
---|---|---|
2024 | A, N. and R. Maity. 2024. Coastal vulnerability considering combined effect of tropical cyclones and future sea level rise. Journal of Coastal Conservation. 28(3). https://doi.org/10.1007/s11852-024-01055-0 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2024 | Aguayo, R., J. León-Muñoz, M. Aguayo, O.M. Baez-Villanueva, M. Zambrano-Bigiarini, A. Fernández, and M. Jacques-Coper. 2024. PatagoniaMet: A multi-source hydrometeorological dataset for Western Patagonia. Scientific Data. 11(1). https://doi.org/10.1038/s41597-023-02828-2 | Global Monthly Mean Leaf Area Index Climatology, 1981-2015 |
2024 | Anand, J., A. Gosain, and R. Khosa. 2024. Hydrological and hydrodynamic modelling for flood management: A case study of the Yamuna River Basin in Delhi. Journal of Hydrology: Regional Studies. 56:101960. https://doi.org/10.1016/j.ejrh.2024.101960 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2024 | Bui, H.X., Y. Li, and D. Dommenget. 2024. Controlling factors of wildfires in Australia and their changes under global warming. Environmental Research Letters. 19(9):094030. https://doi.org/10.1088/1748-9326/ad69a9 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2024 | Burns, P., C.R. Hakkenberg, and S.J. Goetz. 2024. Multi-resolution gridded maps of vegetation structure from GEDI. Scientific Data. 11(1). https://doi.org/10.1038/s41597-024-03668-4 | Gridded GEDI Vegetation Structure Metrics and Biomass Density at Multiple Resolutions |
2024 | Champreux, A., F. Saltré, W. Traylor, T. Hickler, and C.J.A. Bradshaw. 2024. How to map biomes: Quantitative comparison and review of biomeâ€mapping methods. Ecological Monographs. 94(3). https://doi.org/10.1002/ecm.1615 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2024 | Champreux, A., F. Saltré, W. Traylor, T. Hickler, and C.J.A. Bradshaw. 2024. How to map biomes: Quantitative comparison and review of biomeâ€mapping methods. Ecological Monographs. 94(3). https://doi.org/10.1002/ecm.1615 | Global Monthly Mean Leaf Area Index Climatology, 1981-2015 |
2024 | Cheng, R. 2024. Solar-Induced Chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems. Current Climate Change Reports. 10(2):13-32. https://doi.org/10.1007/s40641-024-00194-8 | Global MODIS and FLUXNET-derived Daily Gross Primary Production, V2 |
2024 | Chervier, C., A.C. Ximenes, B.N. Mihigo, and C. Doumenge. 2024. Impact of industrial logging concession on deforestation and forest degradation in the DRC. World Development. 173:106393. https://doi.org/10.1016/j.worlddev.2023.106393 | Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010 |
2024 | Choi, M., J. Zhang, Y. Zhang, J. Fan, X. Li, and Q. Ying. 2024. Impact of wildfires on regional ozone and PM2.5: Considering the light absorption of Brown carbon. Atmospheric Environment. 316:120196. https://doi.org/10.1016/j.atmosenv.2023.120196 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2024 | Dalal, G., T. Pathania, A. Koppa, and V. Hari. 2024. Drivers and mechanisms of heatwaves in South West India. Climate Dynamics. 62(6):5527-5541. https://doi.org/10.1007/s00382-024-07242-x | Global Monthly GPP from an Improved Light Use Efficiency Model, 1982-2016 |
2024 | Dayal, D., A. Pandey, P.K. Gupta, and P. Kalura. 2024. Investigating the utility of satellite-based precipitation products for simulating extreme discharge events: an exhaustive model-driven approach for a tropical river basin in India. Environmental Monitoring and Assessment. 196(7). https://doi.org/10.1007/s10661-024-12746-4 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2024 | Fassinou, F.J.C., J. Cesaro, M. Nungi-Pambu, R. Fensholt, M. Brandt, A. Akodewou, A.A. Diouf, T. Mbaye, and S. Taugourdeau. 2024. Quantifying the impact of Great Green Wall and Corporate plantations on tree density and biomass in Sahelian Senegal. Trees, Forests and People. 16:100569. https://doi.org/10.1016/j.tfp.2024.100569 | An Unexpectedly Large Count of Trees in the West African Sahara and Sahel |
2024 | Frisko, R., L. Duchesne, E. Thiffault, D. Houle, and R. Ouimet. 2024. Interannual variability and seasonality of litterfall in three temperate and boreal forest ecosystems of eastern Canada: A synthesis of long-term monitoring. Forest Ecology and Management. 568:122069. https://doi.org/10.1016/j.foreco.2024.122069 | A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients |
2024 | Fu, L., G. Zhang, J. Huang, M. Peng, L. Ding, and D. Han. 2024. Prevalence of vegetation browning in China’s drylands under climate change. Geography and Sustainability. 5(3):405-414. https://doi.org/10.1016/j.geosus.2024.04.002 | Global Vegetation Greenness (NDVI) from AVHRR GIMMS-3G+, 1981-2022 |
2024 | Gomez, J.L., R.J. Allen, and K. Li. 2024. California wildfire smoke contributes to a positive atmospheric temperature anomaly over the western United States. Atmospheric Chemistry and Physics. 24(11):6937-6963. https://doi.org/10.5194/acp-24-6937-2024 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2024 | Gopalakrishna, T., S.W. Rifai, J. Ratnam, I. Oliveras Menor, N. Stevens, and Y. Malhi. 2024. The distribution and drivers of tree cover in savannas and forests across India. Communications Earth & Environment. 5(1). https://doi.org/10.1038/s43247-024-01568-4 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2024 | Guerra-Hernández, J., A. Pascual, F. Tupinambá-Simões, S. Godinho, B. Botequim, A. Jurado-Varela, and V. Sandoval-Altelarrea. 2024. Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests. European Journal of Remote Sensing. 57(1). https://doi.org/10.1080/22797254.2024.2315413 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2024 | Guo, Y., H. Zhao, W. Winiwarter, J. Chang, X. Wang, M. Zhou, P. Havlik, D. Leclere, D. Pan, D. Kanter, and L. Zhang. 2024. Aspirational nitrogen interventions accelerate air pollution abatement and ecosystem protection. Science Advances. 10(33). https://doi.org/10.1126/sciadv.ado0112 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2024 | Hemati, M., M. Mahdianpari, R. Nassar, H. Shiri, and F. Mohammadimanesh. 2024. Urban methane emission monitoring across North America using TROPOMI data: an analytical inversion approach. Scientific Reports. 14(1). https://doi.org/10.1038/s41598-024-58995-8 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2024 | Indraja, G., A. Aashi, and V.K. Vema. 2024. Spatial and temporal classification and prediction of LULC in Brahmani and Baitarni basin using integrated cellular automata models. Environmental Monitoring and Assessment. 196(2). https://doi.org/10.1007/s10661-023-12289-0 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2024 | Jena, P.P., C. Chatterjee, R. Kumar, and A. Khatun. 2024. Flood Hazard Assessment Using Hydrodynamic Modeling Under Severity-Frequency Based Changing Flood Regime. Water Resources Management. 38(12):4589-4614. https://doi.org/10.1007/s11269-024-03880-2 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2024 | Jiang, X., Y. Wang, Y. A., G. Wang, X. Zhang, G. Ma, L. Duan, and K. Liu. 2024. Optimizing actual evapotranspiration simulation to identify evapotranspiration partitioning variations: A fusion of physical processes and machine learning techniques. Agricultural Water Management. 295:108755. https://doi.org/10.1016/j.agwat.2024.108755 | Global Vegetation Greenness (NDVI) from AVHRR GIMMS-3G+, 1981-2022 |
2024 | Jin, Y., Y. Liu, X. Lu, X. Chen, A. Shen, H. Wang, Y. Cui, Y. Xu, S. Li, J. Liu, M. Zhang, Y. Ma, and Q. Fan. 2024. Measurement report: Assessing the impacts of emission uncertainty on aerosol optical properties and radiative forcing from biomass burning in peninsular Southeast Asia. Atmospheric Chemistry and Physics. 24(1):367-395. https://doi.org/10.5194/acp-24-367-2024 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2024 | Kannenberg, S.A., W.R.L. Anderegg, M.L. Barnes, M.P. Dannenberg, and A.K. Knapp. 2024. Dominant role of soil moisture in mediating carbon and water fluxes in dryland ecosystems. Nature Geoscience. 17(1):38-43. https://doi.org/10.1038/s41561-023-01351-8 | Global MODIS and FLUXNET-derived Daily Gross Primary Production, V2 |
2024 | Kerketta, A., H.S. Kapoor, and P.K. Sahoo. 2024. Groundwater fluoride prediction modeling using physicochemical parameters in Punjab, India: a machine-learning approach. Frontiers in Soil Science. 4. https://doi.org/10.3389/fsoil.2024.1407502 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2024 | Lei, R., J. Poe, D. Huntzinger, J. Liu, S. Stich, D.F. Baker, L. Feng, D.C. Gaeta, Z. Huang, and S.M. Miller. 2024. The Orbiting Carbon Observatory-2 (OCO-2) and in situ CO2 data suggest a larger seasonal amplitude of the terrestrial carbon cycle compared to many dynamic global vegetation models. Remote Sensing of Environment. 312:114326. https://doi.org/10.1016/j.rse.2024.114326 | Global Monthly GPP from an Improved Light Use Efficiency Model, 1982-2016 |
2024 | Lei, R., J. Poe, D. Huntzinger, J. Liu, S. Stich, D.F. Baker, L. Feng, D.C. Gaeta, Z. Huang, and S.M. Miller. 2024. The Orbiting Carbon Observatory-2 (OCO-2) and in situ CO2 data suggest a larger seasonal amplitude of the terrestrial carbon cycle compared to many dynamic global vegetation models. Remote Sensing of Environment. 312:114326. https://doi.org/10.1016/j.rse.2024.114326 | Global MODIS and FLUXNET-derived Daily Gross Primary Production, V2 |
2024 | Liu, Q., L. Liang, T. Sun, X. Wang, D. Yan, and C. Li. 2024. Hydrological response of drought impacts across catchments worldwide. Science of The Total Environment. 931:172912. https://doi.org/10.1016/j.scitotenv.2024.172912 | Global Monthly Mean Leaf Area Index Climatology, 1981-2015 |
2024 | Liu, Q., L. Liang, T.R. McVicar, X. Wang, C. Li, X. Xia, and D. Yan. 2024. Globally assessing how evapotranspiration feedbacks govern the impacts of multi-year droughts. Journal of Hydrology. 641:131852. https://doi.org/10.1016/j.jhydrol.2024.131852 | Global Monthly Mean Leaf Area Index Climatology, 1981-2015 |
2024 | Manju Kumar, P., V.S. Soraganvi, D.B. Basavaraj, and D.C. Lingadevaru. 2024. Reservoir Induced Spatio-Temporal Changes in Land-Use/Land-Cover Pattern of Bagalkot Due to Submergence Using Remote Sensing and GIS. Lecture Notes in Civil Engineering, Environmental Engineering for Ecosystem Restoration. 93-105. https://doi.org/10.1007/978-981-97-0910-6_8 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2024 | Melser, R., N.C. Coops, and C. Derksen. 2024. Characterizing satellite-derived freeze/thaw regimes through spatial and temporal clustering for the identification of growing season constraints on vegetation productivity. Remote Sensing of Environment. 309:114210. https://doi.org/10.1016/j.rse.2024.114210 | Global MODIS and FLUXNET-derived Daily Gross Primary Production, V2 |
2024 | Mukherjee, A. and J. Panda. 2024. A study on the urban growth and dynamics over 16 major cities of India. Journal of Earth System Science. 133(2). https://doi.org/10.1007/s12040-024-02280-9 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2024 | Penalva-Arias, N., O. Teruel, M. Raja, A. Rosell-Melé, and J. Villanueva. 2024. Quantification and isotopic characterization of benzene polycarboxylic acids (BPCA)-derived black carbon in deep oceanic sediments: Towards assessing pyrogenic inputs from marine sources. Organic Geochemistry. 193:104811. https://doi.org/10.1016/j.orggeochem.2024.104811 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2024 | Pinakana, S.D., A.U. Raysoni, A. Sayeed, J.L. Gonzalez, O. Temby, D. Wladyka, K. Sepielak, and P. Gupta. 2024. Review of agricultural biomass burning and its impact on air quality in the continental United States of America. Environmental Advances. 16:100546. https://doi.org/10.1016/j.envadv.2024.100546 | Global Fire Emissions Database, Version 3.1 |
2024 | Pinakana, S.D., A.U. Raysoni, A. Sayeed, J.L. Gonzalez, O. Temby, D. Wladyka, K. Sepielak, and P. Gupta. 2024. Review of agricultural biomass burning and its impact on air quality in the continental United States of America. Environmental Advances. 16:100546. https://doi.org/10.1016/j.envadv.2024.100546 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2024 | Poquérusse, J., C.L. Brown, C. Gaillard, C. Doughty, L. Dalén, A.J. Gallagher, M. Wooller, N. Zimov, G.M. Church, B. Lamm, and E. Hysolli. 2024. Assessing contemporary Arctic habitat availability for a woolly mammoth proxy. Scientific Reports. 14(1). https://doi.org/10.1038/s41598-024-60442-7 | Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010 |
2024 | Qiu, L., J. He, C. Yue, P. Ciais, and C. Zheng. 2024. Substantial terrestrial carbon emissions from global expansion of impervious surface area. Nature Communications. 15(1). https://doi.org/10.1038/s41467-024-50840-w | Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010 |
2024 | Reavis, C.W., M.L. Reba, and B.R. Runkle. 2024. The effects of alternate wetting and drying irrigation on water use efficiency in Mid-South rice. Agricultural and Forest Meteorology. 353:110069. https://doi.org/10.1016/j.agrformet.2024.110069 | PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018 |
2024 | Ren, S., C. Terrer, J. Li, Y. Cao, S. Yang, and D. Liu. 2024. Historical impacts of grazing on carbon stocks and climate mitigation opportunities. Nature Climate Change. 14(4):380-386. https://doi.org/10.1038/s41558-024-01957-9 | Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010 |
2024 | Rocha-Lima, A., P.R. Colarco, A.S. Darmenov, E.P. Nowottnick, A.M. da Silva, and L.D. Oman. 2024. Investigation of observed dust trends over the Middle East region in NASA Goddard Earth Observing System (GEOS) model simulations. Atmospheric Chemistry and Physics. 24(4):2443-2464. https://doi.org/10.5194/acp-24-2443-2024 | Global MODIS and FLUXNET-derived Daily Gross Primary Production, V2 |
2024 | Sadeghi Chorsi, T., F.J. Meyer, and T.H. Dixon. 2024. Toward long-term monitoring of regional permafrost thaw with satellite interferometric synthetic aperture radar. The Cryosphere. 18(8):3723-3740. https://doi.org/10.5194/tc-18-3723-2024 | Global Distribution of Fine Root Biomass in Terrestrial Ecosystems |
2024 | Sawant, S. and J.K. Ghosh. 2024. Land use land cover classification using Sentinel imagery based on deep learning models. Journal of Earth System Science. 133(2). https://doi.org/10.1007/s12040-024-02298-z | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2024 | Shekar, P.R. and A. Mathew. 2024. GIS-based assessment of soil erosion and sediment yield using the revised universal soil loss equation (RUSLE) model in the Murredu Watershed, Telangana, India. HydroResearch. 7:315-325. https://doi.org/10.1016/j.hydres.2024.05.003 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2024 | Singh, W.R., A. Bandyopadhyay, and A. Bhadra. 2024. Assessment of impact of climate change on streamflow and soil moisture in Pare watershed of Arunachal Pradesh, India. Sustainable Water Resources Management. 10(2). https://doi.org/10.1007/s40899-024-01063-w | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2024 | Smith, J.E., M. Billmire, N.H. French, and G.M. Domke. 2024. Application of the wildland fire emissions inventory system to estimate fire emissions on forest lands of the United States. Carbon Balance and Management. 19(1). https://doi.org/10.1186/s13021-024-00274-0 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2024 | Taha, H. 2024. Micrometeorological effects and thermal-environmental benefits of cool pavements: findings from a detailed observational field study in Pacoima, California. Environmental Research Communications. 6(3):035016. https://doi.org/10.1088/2515-7620/ad2a8e | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2024 | Tang, R., M. Jin, J. Mao, D.M. Ricciuto, A. Chen, and Y. Zhang. 2024. Quantifying wildfire drivers and predictability in boreal peatlands using a two-step error-correcting machine learning framework in TeFire v1.0. Geoscientific Model Development. 17(4):1525-1542. https://doi.org/10.5194/gmd-17-1525-2024 | Global Monthly GPP from an Improved Light Use Efficiency Model, 1982-2016 |
2024 | Tang, X., G. Starr, C.L. Staudhammer, K. Zhang, L. Li, N. Li, F.H. Ajloon, and Y. Gong. 2024. VCPNET: A new dataset to benchmark vegetation carbon phenology metrics. Ecological Informatics. 82:102741. https://doi.org/10.1016/j.ecoinf.2024.102741 | PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018 |
2024 | Wang, Y., M. Zhang, X. Mu, and G. Li. 2024. Burned Area Mapping and Carbon Emmission Estimates for the 2023 Canada Wildfires Based on FY-3D/Mersi-II Observations. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. 80:10149-10152. https://doi.org/10.1109/IGARSS53475.2024.10641923 | Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010 |
2024 | Wheeler, K.I., M.C. Dietze, D. LeBauer, J.A. Peters, A.D. Richardson, A.A. Ross, R.Q. Thomas, K. Zhu, U. Bhat, S. Munch, R. Floreani Buzbee, M. Chen, B. Goldstein, J. Guo, D. Hao, C. Jones, M. Kelly-Fair, H. Liu, C. Malmborg, N. Neupane, D. Pal, V. Shirey, Y. Song, M. Steen, E.A. Vance, W.M. Woelmer, J.H. Wynne, and L. Zachmann. 2024. Predicting spring phenology in deciduous broadleaf forests: NEON phenology forecasting community challenge. Agricultural and Forest Meteorology. 345:109810. https://doi.org/10.1016/j.agrformet.2023.109810 | PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018 |
2024 | Yu, L., L. Fan, P. Ciais, J. Xiao, F. Frappart, S. Sitch, J. Chen, X. Xiao, R. Fensholt, Z. Chang, H. Fang, X. Li, T. Cui, M. Ma, and J. Wigneron. 2024. Forest degradation contributes more to carbon loss than forest cover loss in North American boreal forests. International Journal of Applied Earth Observation and Geoinformation. 128:103729. https://doi.org/10.1016/j.jag.2024.103729 | Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010 |
2024 | Yu, L., Z. Du, X. Li, Q. Zhao, H. Wu, D. weise, X. Yuan, Y. Yang, W. Cai, W. Song, P. Wang, Z. Zhao, Y. Long, Y. Zhang, J. Peng, X. Xin, F. Xu, M. Shen, H. Wang, Y. Jiao, T. Li, Z. Sun, Y. Zhao, M. Fang, D. Peng, C. Wu, S. Li, X. Shen, K. Ma, G. Lin, and Y. Luo. 2024. Near surface camera informed agricultural land monitoring for climate smart agriculture. Climate Smart Agriculture. 1(1):100008. https://doi.org/10.1016/j.csag.2024.100008 | PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018 |
2024 | Zhang, T., Y. Xu, and J. Ran. 2024. Quantitative evaluation of the global impacts of human land modification on raptors. Conservation Biology. https://doi.org/10.1111/cobi.14228 | LUH1: Harmonized Global Land Use for Years 1500-2100, V1 |
2024 | Zhang, Z., J. Xu, S. Jin, H. Zhuang, S. Li, X. Wu, and Z. Zhang. 2024. Considerable energy crop production potentials in the Russian Far East. Biomass and Bioenergy. 189:107365. https://doi.org/10.1016/j.biombioe.2024.107365 | Global Vegetation Greenness (NDVI) from AVHRR GIMMS-3G+, 1981-2022 |
2023 | Abeed, R., C. Viatte, W.C. Porter, N. Evangeliou, C. Clerbaux, L. Clarisse, M. Van Damme, P. Coheur, and S. Safieddine. 2023. A roadmap to estimating agricultural ammonia volatilization over Europe using satellite observations and simulation data. Atmospheric Chemistry and Physics. 23(19):12505-12523. https://doi.org/10.5194/acp-23-12505-2023 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2023 | Adams, M.A. and M. Neumann. 2023. Litter accumulation and fire risks show direct and indirect climate-dependence at continental scale. Nature Communications. 14(1). https://doi.org/10.1038/s41467-023-37166-9 | A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients |
2023 | Ahmad, F., N.R. Talukdar, L. Goparaju, R.K. Singh, P. Choudhury, S.K. Dhyani, C.M. Biradar, and J. Rizvi. 2023. Afforestation potential mapping of tree outside forest in India for achieving SDG goals and landscape stewardship. Environmental Sustainability. 6(4):487-494. https://doi.org/10.1007/s42398-023-00294-5 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2023 | Arya, S. and A. Kumar. 2023. AHP GIS-aided flood hazard mapping and surface runoff estimation in Gurugram, India. Natural Hazards. https://doi.org/10.1007/s11069-023-05973-4 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2023 | Bacour, C., N. MacBean, F. Chevallier, S. Léonard, E.N. Koffi, and P. Peylin. 2023. Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model. Biogeosciences. 20(6):1089-1111. https://doi.org/10.5194/bg-20-1089-2023 | Global Fire Emissions Database, Version 3.1 |
2023 | Blume-Werry, G., J. Klaminder, E.J. Krab, and S. Monteux. 2023. Ideas and perspectives: Alleviation of functional limitations by soil organisms is key to climate feedbacks from arctic soils. Biogeosciences. 20(10):1979-1990. https://doi.org/10.5194/bg-20-1979-2023 | Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010 |
2023 | Bruno, A.G., J.J. Harrison, M.P. Chipperfield, D.P. Moore, R.J. Pope, C. Wilson, E. Mahieu, and J. Notholt. 2023. Atmospheric distribution of HCN from satellite observations and 3-D model simulations. Atmospheric Chemistry and Physics. 23(8):4849-4861. https://doi.org/10.5194/acp-23-4849-2023 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2023 | Bélair, S., N. Alavi, M.L. Carrera, M. Abrahamowicz, B. Bilodeau, D. Simjanovski, D. Charpentier, B. Badawy, and S. Leroyer. 2023. Evaluating the impact of land surface on mediumâ€range weather forecasts using screenâ€level analyses. Quarterly Journal of the Royal Meteorological Society. 149(755):2146-2175. https://doi.org/10.1002/qj.4499 | Global Distribution of Root Profiles in Terrestrial Ecosystems |
2023 | Chmielinski, M., M.G. Yost, M. Cohen, M. Inanici, and C.D. Simpson. 2023. Non-ionizing radiation modeling to predict ambient irradiance in work areas at an indoor cannabis farm. Annals of Work Exposures and Health. 67(9):1088-1098. https://doi.org/10.1093/annweh/wxad048 | A Global Database of Field-observed Leaf Area Index in Woody Plant Species, 1932-2011 |
2023 | Dubey, N. and S. Ghosh. 2023. CO2 fertilization enhances vegetation productivity and reduces ecological drought in India. Environmental Research Letters. 18(6):064025. https://doi.org/10.1088/1748-9326/acd5e7 | Global Monthly GPP from an Improved Light Use Efficiency Model, 1982-2016 |
2023 | Dubois, E., M. Larocque, and P. Brunner. 2023. Impact of land cover changes on | LUH1: Harmonized Global Land Use for Years 1500-2100, V1 |
2023 | Fan, X., E. Bai, J. Zhang, X. Wang, W. Yuan, and S. Piao. 2023. The Carbon Transfer From Plant to Soil Is More Efficient in Less Productive Ecosystems. Global Biogeochemical Cycles. 37(8). https://doi.org/10.1029/2023GB007727 | A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients |
2023 | Feldman, A.F., Z. Zhang, Y. Yoshida, A. Chatterjee, and B. Poulter. 2023. Using Orbiting Carbon Observatory-2 (OCO-2) column CO2 retrievals to rapidly detect and estimate biospheric surface carbon flux anomalies. Atmospheric Chemistry and Physics. 23(2):1545-1563. https://doi.org/10.5194/acp-23-1545-2023 | Global MODIS and FLUXNET-derived Daily Gross Primary Production, V2 |
2023 | Frantz, D., F. Schug, D. Wiedenhofer, A. Baumgart, D. Virág, S. Cooper, C. Gómez-Medina, F. Lehmann, T. Udelhoven, S. van der Linden, P. Hostert, and H. Haberl. 2023. Unveiling patterns in human dominated landscapes through mapping the mass of US built structures. Nature Communications. 14(1). https://doi.org/10.1038/s41467-023-43755-5 | Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010 |
2023 | Frouz, J., J. Kukla, R. Umari, T.J. Whitfeld, and V. Novotny. 2023. Soil fauna bioturbation along a successional gradient following swidden agriculture in the lowland tropical rainforests of New Guinea. CATENA. 229:107203. https://doi.org/10.1016/j.catena.2023.107203 | A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients |
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2022 | Ahmad, F., N.R. Talukdar, L. Goparaju, C. Biradar, S.K. Dhyani, and J. Rizvi. 2022. GIS-based assessment of land-agroforestry potentiality of Jharkhand State, India. Regional Sustainability. 3(3):254-268. https://doi.org/10.1016/j.regsus.2022.10.004 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
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2022 | Berlin, A.C., V.R. Chowdhary, and N.V.C. Menon. 2022. Flood Risk and Inundation Mapping of Assam using an Approach based on Geospatial Technology. 2022 IEEE Pune Section International Conference (PuneCon). https://doi.org/10.1109/PuneCon55413.2022.10014729 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2022 | Bilsback, K.R., Y. He, C.D. Cappa, R.Y. Chang, B. Croft, R.V. Martin, N.L. Ng, J.H. Seinfeld, J.R. Pierce, and S.H. Jathar. 2022. Vapors Are Lost to Walls, Not to Particles on the Wall: Artifact-Corrected Parameters from Chamber Experiments and Implications for Global Secondary Organic Aerosol. Environmental Science & Technology. 57(1):53-63. https://doi.org/10.1021/acs.est.2c03967 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2022 | Capooci, M. and R. Vargas. 2022. Trace gas fluxes from tidal salt marsh soils: implications for carbon–sulfur biogeochemistry. Biogeosciences. 19(19):4655-4670. https://doi.org/10.5194/bg-19-4655-2022 | PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018 |
2022 | Chen, B. 2022. Comparison of the Two Most Common Phenology Algorithms Imbedded in Land Surface Models. Journal of Geophysical Research: Atmospheres. 127(21). https://doi.org/10.1029/2022JD037167 | PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018 |
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2022 | Chopping, M., Z. Wang, C. Schaaf, M.A. Bull, and R.R. Duchesne. 2022. Forest aboveground biomass in the southwestern United States from a MISR multi-angle index, 2000–2015. Remote Sensing of Environment. 275:112964. https://doi.org/10.1016/j.rse.2022.112964 | Tree Mortality from Fires and Bark Beetles at 1-km Resolution, Western USA, 2003-2012 |
2022 | Chu, L., R.Q. Grafton, and H. Nguyen. 2022. A global analysis of the break-even prices to reduce atmospheric carbon dioxide via forest plantation and avoided deforestation. Forest Policy and Economics. 135:102666. https://doi.org/10.1016/j.forpol.2021.102666 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2022 | Devaraju, N., R. Prudhomme, A. Lungarska, X. Wang, Z. Yin, N. de Noblet-Ducoudré, R. Chakir, P. Jayet, T. Brunelle, N. Viovy, A. De Palma, R. Gonzalez, and P. Ciais. 2022. Quantifying the benefits of reducing synthetic nitrogen application policy on ecosystem carbon sequestration and biodiversity. Scientific Reports. 12(1). https://doi.org/10.1038/s41598-022-24794-2 | LUH1: Harmonized Global Land Use for Years 1500-2100, V1 |
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2022 | Díaz, S., J. Kattge, J.H.C. Cornelissen, I.J. Wright, S. Lavorel, S. Dray, B. Reu, M. Kleyer, C. Wirth, I.C. Prentice, E. Garnier, G. Bönisch, M. Westoby, H. Poorter, P.B. Reich, A.T. Moles, J. Dickie, A.E. Zanne, J. Chave, S.J. Wright, S.N. Sheremetiev, H. Jactel, C. Baraloto, B.E.L. Cerabolini, S. Pierce, B. Shipley, F. Casanoves, J.S. Joswig, A. Günther, V. Falczuk, N. Rüger, M.D. Mahecha, L.D. Gorné, B. Amiaud, O.K. Atkin, M. Bahn, D. Baldocchi, M. Beckmann, B. Blonder, W. Bond, B. Bond-Lamberty, K. Brown, S. Burrascano, C. Byun, G. Campetella, J. Cavender-Bares, F.S. Chapin, B. Choat, D.A. Coomes, W.K. Cornwell, J. Craine, D. Craven, M. Dainese, A.C. de Araujo, F.T. de Vries, T.F. Domingues, B.J. Enquist, J. Fagúndez, J. Fang, F. Fernández-Méndez, M.T. Fernandez-Piedade, H. Ford, E. Forey, G.T. Freschet, S. Gachet, R. Gallagher, W. Green, G.R. Guerin, A.G. Gutiérrez, S.P. Harrison, W.N. Hattingh, T. He, T. Hickler, S.I. Higgins, P. Higuchi, J. Ilic, R.B. Jackson, A. Jalili, S. Jansen, F. Koike, C. König, N. Kraft, K. Kramer, H. Kreft, I. Kühn, H. Kurokawa, E.G. Lamb, D.C. Laughlin, M. Leishman, S. Lewis, F. Louault, A.C.M. Malhado, P. Manning, P. Meir, M. Mencuccini, J. Messier, R. Miller, V. Minden, J. Molofsky, R. Montgomery, G. Montserrat-Martí, M. Moretti, S. Müller, Ü. Niinemets, R. Ogaya, K. Öllerer, V. Onipchenko, Y. Onoda, W.A. Ozinga, J.G. Pausas, B. Peco, J. Penuelas, V.D. Pillar, C. Pladevall, C. Römermann, L. Sack, N. Salinas, B. Sandel, J. Sardans, B. Schamp, M. Scherer-Lorenzen, E. Schulze, F. Schweingruber, S. Shiodera, Ê. Sosinski, N. Soudzilovskaia, M.J. Spasojevic, E. Swaine, N. Swenson, S. Tautenhahn, K. Thompson, A. Totte, R. Urrutia-Jalabert, F. Valladares, P. van Bodegom, F. Vasseur, K. Verheyen, D. Vile, C. Violle, B. von Holle, P. Weigelt, E. Weiher, M.C. Wiemann, M. Williams, J. Wright, and G. Zotz. 2022. The global spectrum of plant form and function: enhanced species-level trait dataset. Scientific Data. 9(1). https://doi.org/10.1038/s41597-022-01774-9 | A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves |
2022 | Gamero-Salinas, J., N. Kishnani, A. Sanchez-Ostiz, A. Monge-Barrio, and E. Benitez. 2022. Porosity, openness, and exposure: Identification of underlying factors associated with semi-outdoor spaces’ thermal performance and clustering in tropical high-density Singapore. Energy and Buildings. 272:112339. https://doi.org/10.1016/j.enbuild.2022.112339 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2022 | Ginzburg, V.A., S.V. Kostrykin, A.P. Revokatova, A.G. Ryaboshapko, A.S. Pastukhova, V.N. Korotkov, and P.D. Polumieva. 2022. Model Estimates of Black Carbon Transfer Probabilities from Russian Forest Fires to Arctic and Its Possible Impact on Climate. Izvestiya, Atmospheric and Oceanic Physics. 58(6):635-644. https://doi.org/10.1134/S000143382206007X | Global Fire Emissions Database, Version 2.1 |
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2022 | Jevon, F.V., A. Polussa, A.K. Lang, J. William Munger, S.A. Wood, W.R. Wieder, and M.A. Bradford. 2022. Patterns and controls of aboveground litter inputs to temperate forests. Biogeochemistry. 161(3):335-352. https://doi.org/10.1007/s10533-022-00988-8 | A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients |
2022 | Jian, J., M. Frissell, D. Hao, X. Tang, E. Berryman, and B. Bond-Lamberty. 2022. The global contribution of roots to total soil respiration. Global Ecology and Biogeography. 31(4):685-699. https://doi.org/10.1111/geb.13454 | Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010 |
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2022 | Kelp, M.M., D.J. Jacob, H. Lin, and M.P. Sulprizio. 2022. An Onlineâ€Learned Neural Network Chemical Solver for Stable Longâ€Term Global Simulations of Atmospheric Chemistry. Journal of Advances in Modeling Earth Systems. 14(6). https://doi.org/10.1029/2021MS002926 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
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2022 | Lawal, S., S. Sitch, D. Lombardozzi, J.E.M.S. Nabel, H. Wey, P. Friedlingstein, H. Tian, and B. Hewitson. 2022. Investigating the response of leaf area index to droughts in southern African vegetation using observations and model simulations. Hydrology and Earth System Sciences. 26(8):2045-2071. https://doi.org/10.5194/hess-26-2045-2022 | Global Monthly Mean Leaf Area Index Climatology, 1981-2015 |
2022 | Li, J., J. Cai, H. Liu, X. Han, Y. Xu, X. Cai, and M. Zhang. 2022. Model Analyses of Changes in Spring Surface Ozone Concentrations over Shandong Province in the Period of 2014‒2017. Aerosol and Air Quality Research. 22(10):220139. https://doi.org/10.4209/aaqr.220139 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2022 | Ling, Y., S. Teng, C. Liu, J. Dash, H. Morris, and J. Pastor-Guzman. 2022. Assessing the Accuracy of Forest Phenological Extraction from Sentinel-1 C-Band Backscatter Measurements in Deciduous and Coniferous Forests. Remote Sensing. 14(3):674. https://doi.org/10.3390/rs14030674 | PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018 |
2022 | Liu, X., T. Zhou, P. Shi, Y. Zhang, H. Luo, P. Yu, Y. Xu, P. Zhou, and J. Zhang. 2022. Uncertainties of soil organic carbon stock estimation caused by paleoclimate and human footprint on the Qinghai Plateau. Carbon Balance and Management. 17(1). https://doi.org/10.1186/s13021-022-00203-z | Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010 |
2022 | Lovato, T., D. Peano, M. Butenschön, S. Materia, D. Iovino, E. Scoccimarro, P.G. Fogli, A. Cherchi, A. Bellucci, S. Gualdi, S. Masina, and A. Navarra. 2022. CMIP6 Simulations With the CMCC Earth System Model (CMCCâ€ESM2). Journal of Advances in Modeling Earth Systems. 14(3). https://doi.org/10.1029/2021MS002814 | Global MODIS and FLUXNET-derived Daily Gross Primary Production, V2 |
2022 | Ma, L., G. Hurtt, L. Ott, R. Sahajpal, J. Fisk, R. Lamb, H. Tang, S. Flanagan, L. Chini, A. Chatterjee, and J. Sullivan. 2022. Global evaluation of the Ecosystem Demography model (ED v3.0). Geoscientific Model Development. 15(5):1971-1994. https://doi.org/10.5194/gmd-15-1971-2022 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2022 | Miesner, T., U. Herzschuh, L.A. Pestryakova, M. Wieczorek, E.S. Zakharov, A.I. Kolmogorov, P.V. Davydova, and S. Kruse. 2022. Forest structure and individual tree inventories of northeastern Siberia along climatic gradients. Earth System Science Data. 14(12):5695-5716. https://doi.org/10.5194/essd-14-5695-2022 | Distribution of Estimated Stand Age Across Siberian Larch Forests, 1989-2012 |
2022 | Moon, M., A.D. Richardson, T. Milliman, and M.A. Friedl. 2022. A high spatial resolution land surface phenology dataset for AmeriFlux and NEON sites. Scientific Data. 9(1). https://doi.org/10.1038/s41597-022-01570-5 | Land Surface Phenology, Eddy Covariance Tower Sites, North America, 2017-2021 |
2022 | Mudi, S., J.P. A, and P. Das. 2022. Flood Hazard Mapping in Assam Using Sentinel-1 SAR Data. 459-473. https://doi.org/10.1007/978-3-030-75197-5_20 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2022 | Mugabowindekwe, M., M. Brandt, J. Chave, F. Reiner, D.L. Skole, A. Kariryaa, C. Igel, P. Hiernaux, P. Ciais, O. Mertz, X. Tong, S. Li, G. Rwanyiziri, T. Dushimiyimana, A. Ndoli, V. Uwizeyimana, J.B. Lillesø, F. Gieseke, C.J. Tucker, S. Saatchi, and R. Fensholt. 2022. Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda. Nature Climate Change. 13(1):91-97. https://doi.org/10.1038/s41558-022-01544-w | Gridded Estimates of Woody Cover and Biomass across Sub-Saharan Africa, 2000-2004 |
2022 | Partha, D.B., A.E. Cassidy-Bushrow, and Y. Huang. 2022. Global preterm births attributable to BTEX (benzene, toluene, ethylbenzene, and xylene) exposure. Science of The Total Environment. 838:156390. https://doi.org/10.1016/j.scitotenv.2022.156390 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2022 | Reddy, N.M., and S. Saravanan. 2022. Evaluation of the accuracy of seven gridded satellite precipitation products over the Godavari River basin, India. International Journal of Environmental Science and Technology. https://doi.org/10.1007/s13762-022-04524-x | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2022 | Richardson, W.P., M.L. Reba, and B.R.K. Runkle. 2022. Modification of a Wavelet-Based Method for Detecting Ebullitive Methane Fluxes in Eddy-Covariance Observations: Application at Two Rice Fields. Boundary-Layer Meteorology. 184(1):71-111. https://doi.org/10.1007/s10546-022-00703-y | PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018 |
2022 | Senevirathne, C.K., A. Simic Milas, G. Liu, M.M. Yacobucci, and Y.A. Marambe. 2022. Effects of Increasing C4-Crop Cover and Stomatal Conductance on Evapotranspiration: Simulations for a Lake Erie Watershed. Remote Sensing. 14(8):1914. https://doi.org/10.3390/rs14081914 | A Global Database of Field-observed Leaf Area Index in Woody Plant Species, 1932-2011 |
2022 | Shirkey, G., R. John, J. Chen, K. Dahlin, M. Abraha, P. Sciusco, C. Lei, and D.E. Reed. 2022. Fine resolution remote sensing spectra improves estimates of gross primary production of croplands. Agricultural and Forest Meteorology. 326:109175. https://doi.org/10.1016/j.agrformet.2022.109175 | Global MODIS and FLUXNET-derived Daily Gross Primary Production, V2 |
2022 | Singh, A., and G. Singh. 2022. Climate Change Impact Assessment on Stream flow of Ganjal River, India. Ecology, Environment and Conservation. 707-718. https://doi.org/10.53550/EEC.2022.v28i02.020 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2022 | Somisetty, A., A. Pachore, R. Remesan, and R. Kumar. 2022. Multi-Model Assessment of Streamflow Simulations under Climate and Anthropogenic Changes Exemplified in Two Indian River Basins. Water. 14(2):194. https://doi.org/10.3390/w14020194 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2022 | Stell, A.C., M. Bertolacci, A. Zammit-Mangion, M. Rigby, P.J. Fraser, C.M. Harth, P.B. Krummel, X. Lan, M. Manizza, J. Mühle, S. O'Doherty, R.G. Prinn, R.F. Weiss, D. Young, and A.L. Ganesan. 2022. Modelling the growth of atmospheric nitrous oxide using a global hierarchical inversion. Atmospheric Chemistry and Physics. 22(19):12945-12960. https://doi.org/10.5194/acp-22-12945-2022 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
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2022 | Surinaidu, L. 2022. Quantifying stream flows and groundwater response under the climate and land use change through integrated hydrological modelling in a South Indian River basin. Water Security. 17:100129. https://doi.org/10.1016/j.wasec.2022.100129 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
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2022 | Torresâ€Rojas, L., N. Vergopolan, J.D. Herman, and N.W. Chaney. 2022. Towards an Optimal Representation of Subâ€Grid Heterogeneity in Land Surface Models. Water Resources Research. 58(12). https://doi.org/10.1029/2022WR032233 | MODIS NDVI Data, Smoothed and Gap-filled, for the Conterminous US: 2000-2015 |
2022 | Van Niekerk, J.H., R. Megía-Palma, and G. Forcina. 2022. Thermoregulatory function and sexual dimorphism of the throat sack in Helmeted Guineafowl (Numida meleagris) across Africa. Avian Research. 13:100047. https://doi.org/10.1016/j.avrs.2022.100047 | Gridded Estimates of Woody Cover and Biomass across Sub-Saharan Africa, 2000-2004 |
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2022 | Wei, N., J. Xia, J. Zhou, L. Jiang, E. Cui, J. Ping, and Y. Luo. 2022. Evolution of Uncertainty in Terrestrial Carbon Storage in Earth System Models from CMIP5 to CMIP6. Journal of Climate. 35(17):5483-5499. https://doi.org/10.1175/JCLI-D-21-0763.1 | Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010 |
2022 | West, C., R. Rosolem, A.M. MacDonald, M.O. Cuthbert, and T. Wagener. 2022. Understanding process controls on groundwater recharge variability across Africa through recharge landscapes. Journal of Hydrology. 612:127967. https://doi.org/10.1016/j.jhydrol.2022.127967 | Global Monthly Mean Leaf Area Index Climatology, 1981-2015 |
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2019 | Liu, H., M. Zhang, X. Han, J. Li, and L. Chen. 2019. Episode analysis of regional contributions to tropospheric ozone in Beijing using a regional air quality model. Atmospheric Environment. 199:299-312. https://doi.org/10.1016/j.atmosenv.2018.11.044 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2019 | Longo, M., R.G. Knox, N.M. Levine, A.L.S. Swann, D.M. Medvigy, M.C. Dietze, Y. Kim, K. Zhang, D. Bonal, B. Burban, P.B. Camargo, M.N. Hayek, S.R. Saleska, R. da Silva, R.L. Bras, S.C. Wofsy, and P.R. Moorcroft. 2019. The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 - Part 2: Model evaluation for tropical South America. Geoscientific Model Development. 12(10):4347-4374. https://doi.org/10.5194/gmd-12-4347-2019 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2019 | Luo, Z., G. Wang, and E. Wang. 2019. Global subsoil organic carbon turnover times dominantly controlled by soil properties rather than climate. Nature Communications. 10(1):. https://doi.org/10.1038/s41467-019-11597-9 | Global Distribution of Root Profiles in Terrestrial Ecosystems |
2019 | Magalhaes, N.d., H. Evangelista, T. Condom, A. Rabatel, and P. Ginot. 2019. Amazonian Biomass Burning Enhances Tropical Andean Glaciers Melting. Scientific Reports. 9(1):. https://doi.org/10.1038/s41598-019-53284-1 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2019 | Miyazaki, K., T. Sekiya, D. Fu, K.W. Bowman, S.S. Kulawik, K. Sudo, T. Walker, Y. Kanaya, M. Takigawa, K. Ogochi, H. Eskes, K.F. Boersma, A.M. Thompson, B. Gaubert, J. Barre, and L.K. Emmons. 2019. Balance of Emission and Dynamical Controls on Ozone During the Korea-United States Air Quality Campaign From Multiconstituent Satellite Data Assimilation. Journal of Geophysical Research: Atmospheres. 124(1):387-413. https://doi.org/10.1029/2018JD028912 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2019 | Nikiel, C.A. and E.A.B. Eltahir. 2019. Summer Climate Change in the Midwest and Great Plains due to Agricultural Development during the Twentieth Century. Journal of Climate. 32(17):5583-5599. https://doi.org/10.1175/JCLI-D-19-0096.1 | LUH1: Harmonized Global Land Use for Years 1500-2100, V1 |
2019 | O'Neill, A.R. 2019. Evaluating high-altitude Ramsar wetlands in the Eastern Himalayas. Global Ecology and Conservation. 20:e00715. https://doi.org/10.1016/j.gecco.2019.e00715 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2019 | Oikonomou, P.D., D.E. Tsesmelis, R.M. Waskom, N.S. Grigg, and C.A. Karavitis. 2019. Enhancing the standardized drought vulnerability index by integrating spatiotemporal information from satellite and in situ data. Journal of Hydrology. 569:265-277. https://doi.org/10.1016/j.jhydrol.2018.11.058 | MODIS NDVI Data, Smoothed and Gap-filled, for the Conterminous US: 2000-2015 |
2019 | Pandit, K., H. Dashti, N.F. Glenn, A.N. Flores, K.C. Maguire, D.J. Shinneman, G.N. Flerchinger, and A.W. Fellows. 2019. Developing and optimizing shrub parameters representing sagebrush (Artemisia spp.) ecosystems in the northern Great Basin using the Ecosystem Demography (EDv2.2) model. Geoscientific Model Development. 12(11):4585-4601. https://doi.org/10.5194/gmd-12-4585-2019 | Shrubland Species Cover, Biometric, Carbon and Nitrogen Data, Southern Idaho, 2014 |
2019 | Richardson, A.D., K. Hufkens, X. Li, and T.R. Ault. 2019. Testing Hopkins' Bioclimatic Law with PhenoCam data. Applications in Plant Sciences. 7(3):e01228. https://doi.org/10.1002/aps3.1228 | PhenoCam Dataset v1.0: Vegetation Phenology from Digital Camera Imagery, 2000-2015 |
2019 | Rowlinson, M.J., A. Rap, S.R. Arnold, R.J. Pope, M.P. Chipperfield, J. McNorton, P. Forster, H. Gordon, K.J. Pringle, W. Feng, B.J. Kerridge, B.L. Latter, and R. Siddans. 2019. Impact of El Nino-Southern Oscillation on the interannual variability of methane and tropospheric ozone. Atmospheric Chemistry and Physics. 19(13):8669-8686. https://doi.org/10.5194/acp-19-8669-2019 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2019 | Schwendenmann, L. and B. Michalzik. 2019. Dissolved and particulate carbon and nitrogen fluxes along a Phytophthora agathidicida infection gradient in a kauri (Agathis australis) dominated forest. Fungal Ecology. 42:100861. https://doi.org/10.1016/j.funeco.2019.08.005 | A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients |
2019 | Seyednasrollah, B., A.M. Young, K. Hufkens, T. Milliman, M.A. Friedl, S. Frolking, and A.D. Richardson. 2019. Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset. Scientific Data. 6(1):. https://doi.org/10.1038/s41597-019-0229-9 | PhenoCam Dataset v1.0: Vegetation Phenology from Digital Camera Imagery, 2000-2015 |
2019 | Seyednasrollah, B., A.M. Young, K. Hufkens, T. Milliman, M.A. Friedl, S. Frolking, and A.D. Richardson. 2019. Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset. Scientific Data. 6(1):. https://doi.org/10.1038/s41597-019-0229-9 | PhenoCam Dataset v1.0: Digital Camera Imagery from the PhenoCam Network, 2000-2015 |
2019 | Seyednasrollah, B., A.M. Young, K. Hufkens, T. Milliman, M.A. Friedl, S. Frolking, and A.D. Richardson. 2019. Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset. Scientific Data. 6(1):. https://doi.org/10.1038/s41597-019-0229-9 | PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018 |
2019 | Seyednasrollah, B., A.M. Young, K. Hufkens, T. Milliman, M.A. Friedl, S. Frolking, and A.D. Richardson. 2019. Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset. Scientific Data. 6(1):. https://doi.org/10.1038/s41597-019-0229-9 | PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018 |
2019 | Spiegal, S., R.E. Estell, A.F. Cibils, D.K. James, H.R. Peinetti, D.M. Browning, K.B. Romig, A.L. Gonzalez, A.J. Lyons, and B.T. Bestelmeyer. 2019. Seasonal Divergence of Landscape Use by Heritage and Conventional Cattle on Desert Rangeland. Rangeland Ecology & Management. 72(4):590-601. https://doi.org/10.1016/j.rama.2019.02.008 | MODIS NDVI Data, Smoothed and Gap-filled, for the Conterminous US: 2000-2015 |
2019 | Spruce, Hicke, Hargrove, Grulke, and Meddens. 2019. Use of MODIS NDVI Products to Map Tree Mortality Levels in Forests Affected by Mountain Pine Beetle Outbreaks. Forests. 10(9):811. https://doi.org/10.3390/f10090811 | MODIS NDVI Data, Smoothed and Gap-filled, for the Conterminous US: 2000-2015 |
2019 | Takemura, T. and K. Suzuki. 2019. Weak global warming mitigation by reducing black carbon emissions. Scientific Reports. 9(1):. https://doi.org/10.1038/s41598-019-41181-6 | Global Fire Emissions Database, Version 3.1 |
2019 | Tang, F.H.M., W.J. Riley, and F. Maggi. 2019. Hourly and daily rainfall intensification causes opposing effects on C and N emissions, storage, and leaching in dry and wet grasslands. Biogeochemistry. 144(2):197-214. https://doi.org/10.1007/s10533-019-00580-7 | A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients |
2019 | Wang, C.C., S. Reinhold, A. Kalmykov, A. Wissgott, G. Brandt, C. Jeong, O. Cheronet, M. Ferry, E. Harney, D. Keating, S. Mallick, N. Rohland, K. Stewardson, A.R. Kantorovich, V.E. Maslov, V.G. Petrenko, V.R. Erlikh, B.C. Atabiev, R.G. Magomedov, P.L. Kohl, K.W. Alt, S.L. Pichler, C. Gerling, H. Meller, B. Vardanyan, L. Yeganyan, A.D. Rezepkin, D. Mariaschk, N. Berezina, J. Gresky, K. Fuchs, C. Knipper, S. Schiffels, E. Balanovska, O. Balanovsky, I. Mathieson, T. Higham, Y.B. Berezin, A. Buzhilova, V. Trifonov, R. Pinhasi, A.B. Belinskij, D. Reich, S. Hansen, J. Krause, and W. Haak. 2019. Ancient human genome-wide data from a 3000-year interval in the Caucasus corresponds with eco-geographic regions. Nature Communications. 10(1):. https://doi.org/10.1038/s41467-018-08220-8 | RLC Vegetative Cover of the Former Soviet Union, 1990 |
2019 | Wei, Y., X. Chen, H. Chen, J. Li, Z. Wang, W. Yang, B. Ge, H. Du, J. Hao, W. Wang, J. Li, Y. Sun, and H. Huang. 2019. IAP-AACM v1.0: a global to regional evaluation of the atmospheric chemistry model in CAS-ESM. Atmospheric Chemistry and Physics. 19(12):8269-8296. https://doi.org/10.5194/acp-19-8269-2019 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2019 | Xu, J.W., R.V. Martin, B.H. Henderson, J. Meng, Y.B. Oztaner, J.L. Hand, A. Hakami, M. Strum, and S.B. Phillips. 2019. Simulation of airborne trace metals in fine particulate matter over North America. Atmospheric Environment. 214:116883. https://doi.org/10.1016/j.atmosenv.2019.116883 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2019 | Yan, D., R.L. Scott, D.J.P. Moore, J.A. Biederman, and W.K. Smith. 2019. Understanding the relationship between vegetation greenness and productivity across dryland ecosystems through the integration of PhenoCam, satellite, and eddy covariance data. Remote Sensing of Environment. 223:50-62. https://doi.org/10.1016/j.rse.2018.12.029 | PhenoCam Dataset v1.0: Digital Camera Imagery from the PhenoCam Network, 2000-2015 |
2019 | Yang, Y. and Y. Zhao. 2019. Quantification and evaluation of atmospheric pollutant emissions from open biomass burning with multiple methods: a case study for the Yangtze River Delta region, China. Atmospheric Chemistry and Physics. 19(1):327-348. https://doi.org/10.5194/acp-19-327-2019 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2019 | Yee, A.T.K., H.R. Lai, K.Y. Chong, L. Neo, C.Y. Koh, S.Y. Tan, W.W. Seah, J.W. Loh, R.C.J. Lim, M. van Breugel, and H.T.W. Tan. 2019. Short-term responses in a secondary tropical forest after a severe windstorm event. Journal of Vegetation Science. 30(4):720-731. https://doi.org/10.1111/jvs.12753 | A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves |
2019 | Yue, J., Q. Tian, X. Dong, K. Xu, and C. Zhou. 2019. Using Hyperspectral Crop Residue Angle Index to Estimate Maize and Winter-Wheat Residue Cover: A Laboratory Study. Remote Sensing. 11(7):807. https://doi.org/10.3390/rs11070807 | Hyperspectral Imagery from AVIRIS-NG for Sites in ID and CA, USA, 2014 and 2015 |
2019 | Yue, Zhang, Sun, and Han. 2019. Calibration and Assessment of Burned Area Simulation Capability of the LPJ-WHyMe Model in Northeast China. Forests. 10(11):992. https://doi.org/10.3390/f10110992 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2019 | Zhao, Y., M. Saunois, P. Bousquet, X. Lin, A. Berchet, M.I. Hegglin, J.G. Canadell, R.B. Jackson, D.A. Hauglustaine, S. Szopa, A.R. Stavert, N.L. Abraham, A.T. Archibald, S. Bekki, M. Deushi, P. Jockel, B. Josse, D. Kinnison, O. Kirner, V. Marecal, F.M. O'Connor, D.A. Plummer, L.E. Revell, E. Rozanov, A. Stenke, S. Strode, S. Tilmes, E.J. Dlugokencky, and B. Zheng. 2019. Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000–2016 period. Atmospheric Chemistry and Physics. 19(21):13701-13723. https://doi.org/10.5194/acp-19-13701-2019 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Anand, J., A.K. Gosain, and R. Khosa. 2018. Prediction of land use changes based on Land Change Modeler and attribution of changes in the water balance of Ganga basin to land use change using the SWAT model. Science of The Total Environment. 644:503-519. https://doi.org/10.1016/j.scitotenv.2018.07.017 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2018 | Borsdorff, T., J. Andrasec, J. aan de Brugh, H. Hu, I. Aben, and J. Landgraf. 2018. Detection of carbon monoxide pollution from cities and wildfires on regional and urban scales: the benefit of CO column retrievals from SCIAMACHY 2.3 um measurements under cloudy conditions. Atmospheric Measurement Techniques. 11(5):2553-2565. https://doi.org/10.5194/amt-11-2553-2018 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Chen, C., O. Dubovik, D.K. Henze, T. Lapyonak, M. Chin, F. Ducos, P. Litvinov, X. Huang, and L. Li. 2018. Retrieval of desert dust and carbonaceous aerosol emissions over Africa from POLDER/PARASOL products generated by the GRASP algorithm. Atmospheric Chemistry and Physics. 18(16):12551-12580. https://doi.org/10.5194/acp-18-12551-2018 | Global Fire Emissions Database, Version 3.1 |
2018 | Chen, L., M. Zhang, J. Zhu, Y. Wang, and A. Skorokhod. 2018. Modeling Impacts of Urbanization and Urban Heat Island Mitigation on Boundary Layer Meteorology and Air Quality in Beijing Under Different Weather Conditions. Journal of Geophysical Research: Atmospheres. 123(8):4323-4344. https://doi.org/10.1002/2017JD027501 | Global Fire Emissions Database, Version 2.1 |
2018 | Coen, J.L., E.N. Stavros, and J.A. Fites-Kaufman. 2018. Deconstructing the King megafire. Ecological Applications. 28(6):1565-1580. https://doi.org/10.1002/eap.1752 | Remote Sensing Data Before and After California Rim and King Forest Fires, 2010-2015 |
2018 | Feng, T., W. Zhou, S. Wu, Z. Niu, P. Cheng, X. Xiong, and G. Li. 2018. Simulations of summertime fossil fuel CO2 in the Guanzhong basin, China. Science of The Total Environment. 624:1163-1170. https://doi.org/10.1016/j.scitotenv.2017.12.021 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Gao, M., G. Beig, S. Song, H. Zhang, J. Hu, Q. Ying, F. Liang, Y. Liu, H. Wang, X. Lu, T. Zhu, G.R. Carmichael, C.P. Nielsen, and M.B. McElroy. 2018. The impact of power generation emissions on ambient PM2.5 pollution and human health in China and India. Environment International. 121:250-259. https://doi.org/10.1016/j.envint.2018.09.015 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Gao, M., Z. Han, Z. Liu, M. Li, J. Xin, Z. Tao, J. Li, J.E. Kang, K. Huang, X. Dong, B. Zhuang, S. Li, B. Ge, Q. Wu, Y. Cheng, Y. Wang, H.J. Lee, C.H. Kim, J.S. Fu, T. Wang, M. Chin, J.H. Woo, Q. Zhang, Z. Wang, and G.R. Carmichael. 2018. Air quality and climate change, Topic 3 of the Model Inter-Comparison Study for Asia Phase III (MICS-Asia III) - Part 1: Overview and model evaluation. Atmospheric Chemistry and Physics. 18(7):4859-4884. https://doi.org/10.5194/acp-18-4859-2018 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Gao, Y. and M. Zhang. 2018. Changes in the diurnal variations of clouds and precipitation induced by anthropogenic aerosols over East China in August 2008. Atmospheric Pollution Research. 9(3):513-525. https://doi.org/10.1016/j.apr.2017.11.013 | Global Fire Emissions Database, Version 2.1 |
2018 | Gopalakrishnan, V., S. Hirabayashi, G. Ziv, and B.R. Bakshi. 2018. Air quality and human health impacts of grasslands and shrublands in the United States. Atmospheric Environment. 182:193-199. https://doi.org/10.1016/j.atmosenv.2018.03.039 | MODIS-derived Biophysical Parameters for 5-km Land Cover, North America, 2000-2012 |
2018 | Goto, D., T. Nakajima, D. Tie, H. Yashiro, Y. Sato, K. Suzuki, J. Uchida, S. Misawa, R. Yonemoto, T.T.N. Trieu, H. Tomita, and M. Satoh. 2018. Multi-scale Simulations of Atmospheric Pollutants Using a Non-hydrostatic Icosahedral Atmospheric Model. 277-302. https://doi.org/10.1007/978-3-319-67474-2_14 | Global Fire Emissions Database, Version 3.1 |
2018 | Harrison, S.P., P.J. Bartlein, V. Brovkin, S. Houweling, S. Kloster, and I.C. Prentice. 2018. The biomass burning contribution to climate-carbon cycle feedback. Earth System Dynamics Discussions. 1-22. https://doi.org/10.5194/esd-2018-11 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Hogrefe, C., P. Liu, G. Pouliot, R. Mathur, S. Roselle, J. Flemming, M. Lin, and R.J. Park. 2018. Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States. Atmospheric Chemistry and Physics. 18(5):3839-3864. https://doi.org/10.5194/acp-18-3839-2018 | Global Fire Emissions Database, Version 3.1 |
2018 | Houghton, R.A. 2018. Interactions Between Land-Use Change and Climate-Carbon Cycle Feedbacks. Current Climate Change Reports. 4(2):115-127. https://doi.org/10.1007/s40641-018-0099-9 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Huang, K., J. Xia, Y. Wang, A. Ahlstrom, J. Chen, R.B. Cook, E. Cui, Y. Fang, J.B. Fisher, D.N. Huntzinger, Z. Li, A.M. Michalak, Y. Qiao, K. Schaefer, C. Schwalm, J. Wang, Y. Wei, X. Xu, L. Yan, C. Bian, and Y. Luo. 2018. Enhanced peak growth of global vegetation and its key mechanisms. Nature Ecology & Evolution. 2(12):1897-1905. https://doi.org/10.1038/s41559-018-0714-0 | LUH1: Harmonized Global Land Use for Years 1500-2100, V1 |
2018 | Jha, S. and R. Srivastava. 2018. Impact of drought on vegetation carbon storage in arid and semi-arid regions. Remote Sensing Applications: Society and Environment. 11:22-29. https://doi.org/10.1016/j.rsase.2018.04.013 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2018 | Khan, M.N.I., M.C. Shil, M.S. Azad, M.N. Sadath, S.M. Feroz, and A.S. Mollick. 2018. Allometric relationships of stem volume and stand level carbon stocks at varying stand density in Swietenia macrophylla King plantations, Bangladesh. Forest Ecology and Management. 430:639-648. https://doi.org/10.1016/j.foreco.2018.09.002 | Global 1-degree Maps of Forest Area, Carbon Stocks, and Biomass, 1950-2010 |
2018 | Lienert, S. and F. Joos. 2018. A Bayesian ensemble data assimilation to constrain model parameters and land-use carbon emissions. Biogeosciences. 15(9):2909-2930. https://doi.org/10.5194/bg-15-2909-2018 | Global Forest Ecosystem Structure and Function Data For Carbon Balance Research |
2018 | Lipsett-Moore, G.J., N.H. Wolff, and E.T. Game. 2018. Emissions mitigation opportunities for savanna countries from early dry season fire management. Nature Communications. 9(1):. https://doi.org/10.1038/s41467-018-04687-7 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Lund, M.T., G. Myhre, A.S. Haslerud, R.B. Skeie, J. Griesfeller, S.M. Platt, R. Kumar, C.L. Myhre, and M. Schulz. 2018. Concentrations and radiative forcing of anthropogenic aerosols from 1750 to 2014 simulated with the Oslo CTM3 and CEDS emission inventory. Geoscientific Model Development. 11(12):4909-4931. https://doi.org/10.5194/gmd-11-4909-2018 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Lutz, J., A. Larson, and M. Swanson. 2018. Advancing Fire Science with Large Forest Plots and a Long-Term Multidisciplinary Approach. Fire. 1(1):5. https://doi.org/10.3390/fire1010005 | Remote Sensing Data Before and After California Rim and King Forest Fires, 2010-2015 |
2018 | Maheu, A., F. Anctil, E. Gaborit, V. Fortin, D.F. Nadeau, and R. Therrien. 2018. A field evaluation of soil moisture modelling with the Soil, Vegetation, and Snow (SVS) land surface model using evapotranspiration observations as forcing data. Journal of Hydrology. 558:532-545. https://doi.org/10.1016/j.jhydrol.2018.01.065 | Global Distribution of Root Profiles in Terrestrial Ecosystems |
2018 | Melaas, E.K., D. Sulla-Menashe, and M.A. Friedl. 2018. Multidecadal Changes and Interannual Variation in Springtime Phenology of North American Temperate and Boreal Deciduous Forests. Geophysical Research Letters. 45(6):2679-2687. https://doi.org/10.1002/2017GL076933 | Landsat-derived Spring and Autumn Phenology, Eastern US - Canadian Forests, 1984-2013 |
2018 | Molders, N. and S.G. Edwin. 2018. Review of Black Carbon in the Arctic--Origin, Measurement Methods, and Observations. Open Journal of Air Pollution. 07(02):181-213. https://doi.org/10.4236/ojap.2018.72010 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Nikam, B.R., V. Garg, K. Jeyaprakash, P.K. Gupta, S.K. Srivastav, P.K. Thakur, and S.P. Aggarwal. 2018. Analyzing future water availability and hydrological extremes in the Krishna basin under changing climatic conditions. Arabian Journal of Geosciences. 11(19):. https://doi.org/10.1007/s12517-018-3936-1 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2018 | Nowell, H.K., C.D. Holmes, K. Robertson, C. Teske, and J.K. Hiers. 2018. A New Picture of Fire Extent, Variability, and Drought Interaction in Prescribed Fire Landscapes: Insights From Florida Government Records. Geophysical Research Letters. 45(15):7874-7884. https://doi.org/10.1029/2018GL078679 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Oishi, A.C., C.F. Miniat, K.A. Novick, S.T. Brantley, J.M. Vose, and J.T. Walker. 2018. Warmer temperatures reduce net carbon uptake, but do not affect water use, in a mature southern Appalachian forest. Agricultural and Forest Meteorology. 252:269-282. https://doi.org/10.1016/j.agrformet.2018.01.011 | PhenoCam Dataset v1.0: Vegetation Phenology from Digital Camera Imagery, 2000-2015 |
2018 | Peng, W., J. Yang, X. Lu, and D.L. Mauzerall. 2018. Potential co-benefits of electrification for air quality, health, and CO 2 mitigation in 2030 China. Applied Energy. 218:511-519. https://doi.org/10.1016/j.apenergy.2018.02.048 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Platt, S.M., S. Eckhardt, B. Ferre, R.E. Fisher, O. Hermansen, P. Jansson, D. Lowry, E.G. Nisbet, I. Pisso, N. Schmidbauer, A. Silyakova, A. Stohl, T.M. Svendby, S. Vadakkepuliyambatta, J. Mienert, and C. Lund Myhre. 2018. Methane at Svalbard and over the European Arctic Ocean. Atmospheric Chemistry and Physics. 18(23):17207-17224. https://doi.org/10.5194/acp-18-17207-2018 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Pun, V.C., J. Manjourides, and H.H. Suh. 2018. Association of neighborhood greenness with self-perceived stress, depression and anxiety symptoms in older U.S adults. Environmental Health. 17(1):. https://doi.org/10.1186/s12940-018-0381-2 | MODIS NDVI Data, Smoothed and Gap-filled, for the Conterminous US: 2000-2015 |
2018 | Punsompong, P. and S. Chantara. 2018. Identification of potential sources of PM10 pollution from biomass burning in northern Thailand using statistical analysis of trajectories. Atmospheric Pollution Research. 9(6):1038-1051. https://doi.org/10.1016/j.apr.2018.04.003 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Rakitin, V.S., N.F. Elansky, P. Wang, G. Wang, N.V. Pankratova, Y.A. Shtabkin, A.I. Skorokhod, A.N. Safronov, M.V. Makarova, and E.I. Grechko. 2018. CHANGES IN TRENDS OF ATMOSPHERIC COMPOSITION OVER URBAN AND BACKGROUND REGIONS OF EURASIA: ESTIMATES BASED ON SPECTROSCOPIC OBSERVATIONS. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 11(2):84-96. https://doi.org/10.24057/2071-9388-2018-11-2-84-96 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Richardson, A.D., K. Hufkens, T. Milliman, D.M. Aubrecht, M. Chen, J.M. Gray, M.R. Johnston, T.F. Keenan, S.T. Klosterman, M. Kosmala, E.K. Melaas, M.A. Friedl, and S. Frolking. 2018. Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery. Scientific Data. 5:180028. https://doi.org/10.1038/sdata.2018.28 | PhenoCam Dataset v1.0: Vegetation Phenology from Digital Camera Imagery, 2000-2015 |
2018 | Richardson, A.D., K. Hufkens, T. Milliman, D.M. Aubrecht, M. Chen, J.M. Gray, M.R. Johnston, T.F. Keenan, S.T. Klosterman, M. Kosmala, E.K. Melaas, M.A. Friedl, and S. Frolking. 2018. Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery. Scientific Data. 5:180028. https://doi.org/10.1038/sdata.2018.28 | PhenoCam Dataset v1.0: Digital Camera Imagery from the PhenoCam Network, 2000-2015 |
2018 | Richardson, A.D., K. Hufkens, T. Milliman, and S. Frolking. 2018. Intercomparison of phenological transition dates derived from the PhenoCam Dataset V1.0 and MODIS satellite remote sensing. Scientific Reports. 8(1):. https://doi.org/10.1038/s41598-018-23804-6 | PhenoCam Dataset v1.0: Vegetation Phenology from Digital Camera Imagery, 2000-2015 |
2018 | Sato, Y., D. Goto, T. Michibata, K. Suzuki, T. Takemura, H. Tomita, and T. Nakajima. 2018. Aerosol effects on cloud water amounts were successfully simulated by a global cloud-system resolving model. Nature Communications. 9(1):. https://doi.org/10.1038/s41467-018-03379-6 | Global Fire Emissions Database, Version 3.1 |
2018 | Seebens, H., T.M. Blackburn, E.E. Dyer, P. Genovesi, P.E. Hulme, J.M. Jeschke, S. Pagad, P. Pysek, M. van Kleunen, M. Winter, M. Ansong, M. Arianoutsou, S. Bacher, B. Blasius, E.G. Brockerhoff, G. Brundu, C. Capinha, C.E. Causton, L. Celesti-Grapow, W. Dawson, S. Dullinger, E.P. Economo, N. Fuentes, B. Guenard, H. Jager, J. Kartesz, M. Kenis, I. Kuhn, B. Lenzner, A.M. Liebhold, A. Mosena, D. Moser, W. Nentwig, M. Nishino, D. Pearman, J. Pergl, W. Rabitsch, J. Rojas-Sandoval, A. Roques, S. Rorke, S. Rossinelli, H.E. Roy, R. Scalera, S. Schindler, K. Stajerova, B. Tokarska-Guzik, K. Walker, D.F. Ward, T. Yamanaka, and F. Essl. 2018. Global rise in emerging alien species results from increased accessibility of new source pools. Proceedings of the National Academy of Sciences. 115(10):E2264-E2273. https://doi.org/10.1073/pnas.1719429115 | LUH1: Harmonized Global Land Use for Years 1500-2100, V1 |
2018 | Stavros, E.N., J. Coen, B. Peterson, H. Singh, K. Kennedy, C. Ramirez, and D. Schimel. 2018. Use of imaging spectroscopy and LIDAR to characterize fuels for fire behavior prediction. Remote Sensing Applications: Society and Environment. 11:41-50. https://doi.org/10.1016/j.rsase.2018.04.010 | Remote Sensing Data Before and After California Rim and King Forest Fires, 2010-2015 |
2018 | Tellman, B., R.I. McDonald, J.H. Goldstein, A.L. Vogl, M. Florke, D. Shemie, R. Dudley, R. Dryden, P. Petry, N. Karres, K. Vigerstol, B. Lehner, and F. Veiga. 2018. Opportunities for natural infrastructure to improve urban water security in Latin America. PLOS ONE. 13(12):e0209470. https://doi.org/10.1371/journal.pone.0209470 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Vermillion, W.A., P.D. Polly, J.J. Head, J.T. Eronen, and A.M. Lawing. 2018. Ecometrics: A Trait-Based Approach to Paleoclimate and Paleoenvironmental Reconstruction. 373-394. https://doi.org/10.1007/978-3-319-94265-0_17 | Global Vegetation Types, 1971-1982 (Matthews) |
2018 | Wang, J., N. Zeng, M. Wang, F. Jiang, H. Wang, and Z. Jiang. 2018. Contrasting terrestrial carbon cycle responses to the 1997/98 and 2015/16 extreme El Nino events. Earth System Dynamics. 9(1):1-14. https://doi.org/10.5194/esd-9-1-2018 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Yamagata, Y., N. Hanasaki, A. Ito, T. Kinoshita, D. Murakami, and Q. Zhou. 2018. Estimating water-food-ecosystem trade-offs for the global negative emission scenario (IPCC-RCP2.6). Sustainability Science. 13(2):301-313. https://doi.org/10.1007/s11625-017-0522-5 | LUH1: Harmonized Global Land Use for Years 1500-2100, V1 |
2018 | Young, A.H., K.R. Knapp, A. Inamdar, W. Hankins, and W.B. Rossow. 2018. The International Satellite Cloud Climatology Project H-Series climate data record product. Earth System Science Data. 10(1):583-593. https://doi.org/10.5194/essd-10-583-2018 | Global Vegetation Types, 1971-1982 (Matthews) |
2018 | Zeng, Z., L. Estes, A.D. Ziegler, A. Chen, T. Searchinger, F. Hua, K. Guan, A. Jintrawet, and E. F. Wood. 2018. Highland cropland expansion and forest loss in Southeast Asia in the twenty-first century. Nature Geoscience. 11(8):556-562. https://doi.org/10.1038/s41561-018-0166-9 | LUH1: Harmonized Global Land Use for Years 1500-2100, V1 |
2018 | Zhou, M., B. Langerock, C. Vigouroux, M.K. Sha, M. Ramonet, M. Delmotte, E. Mahieu, W. Bader, C. Hermans, N. Kumps, J.M. Metzger, V. Duflot, Z. Wang, M. Palm, and M. De Maziere. 2018. Atmospheric CO and CH<sub>4</sub> time series and seasonal variations on Reunion Island from ground-based in situ and FTIR (NDACC and TCCON) measurements. Atmospheric Chemistry and Physics. 18(19):13881-13901. https://doi.org/10.5194/acp-18-13881-2018 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2018 | Zhu, J., X. Zeng, M. Zhang, Y. Dai, D. Ji, F. Li, Q. Zhang, H. Zhang, and X. Song. 2018. Evaluation of the New Dynamic Global Vegetation Model in CAS-ESM. Advances in Atmospheric Sciences. 35(6):659-670. https://doi.org/10.1007/s00376-017-7154-7 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2017 | . 2017. Classification of Global Land Development Phases by Forest and GDP Changes for Appropriate Land Management in the Mid-Latitude. Sustainability. 9(8):1342. https://doi.org/10.3390/su9081342 | Global 1-degree Maps of Forest Area, Carbon Stocks, and Biomass, 1950-2010 |
2017 | . 2017. Spring and Autumn Phenological Variability across Environmental Gradients of Great Smoky Mountains National Park, USA. Remote Sensing. 9(5):407. https://doi.org/10.3390/rs9050407 | MODIS NDVI Data, Smoothed and Gap-filled, for the Conterminous US: 2000-2015 |
2017 | Aleman, J.C., O. Blarquez, S. Gourlet-Fleury, L. Bremond, and C. Favier. 2017. Tree cover in Central Africa: determinants and sensitivity under contrasted scenarios of global change. Scientific Reports. 7(1):. https://doi.org/10.1038/srep41393 | LUH1: Harmonized Global Land Use for Years 1500-2100, V1 |
2017 | Archibald, A.T., G. Folberth, D.C. Wade, and D. Scott. 2017. A world avoided: impacts of changes in anthropogenic emissions on the burden and effects of air pollutants in Europe and North America. Faraday Discussions. 200:475-500. https://doi.org/10.1039/C7FD00004A | Global Fire Emissions Database, Version 3.1 |
2017 | Boke-Olen, N., A.M. Abdi, O. Hall, and V. Lehsten. 2017. High-resolution African population projections from radiative forcing and socio-economic models, 2000 to 2100. Scientific Data. 4:160130. https://doi.org/10.1038/sdata.2016.130 | LUH1: Harmonized Global Land Use for Years 1500-2100, V1 |
2017 | Chen, Y., D.C. Morton, N. Andela, G.R. van der Werf, L. Giglio, and J.T. Randerson. 2017. A pan-tropical cascade of fire driven by El Nino/Southern Oscillation. Nature Climate Change. 7(12):906-911. https://doi.org/10.1038/s41558-017-0014-8 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2017 | Cuchiara, G.C., B. Rappengluck, M.A. Rubio, E. Lissi, E. Gramsch, and R.D. Garreaud. 2017. Modeling study of biomass burning plumes and their impact on urban air quality; a case study of Santiago de Chile. Atmospheric Environment. 166:79-91. https://doi.org/10.1016/j.atmosenv.2017.07.002 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2017 | Dallmeyer, A., M. Claussen, J. Ni, X. Cao, Y. Wang, N. Fischer, M. Pfeiffer, L. Jin, V. Khon, S. Wagner, K. Haberkorn, and U. Herzschuh. 2017. Biome changes in Asia since the mid-Holocene - an analysis of different transient Earth system model simulations. Climate of the Past. 13(2):107-134. https://doi.org/10.5194/cp-13-107-2017 | RLC Vegetative Cover of the Former Soviet Union, 1990 |
2017 | Das, S., H. Harshvardhan, H. Bian, M. Chin, G. Curci, A.P. Protonotariou, T. Mielonen, K. Zhang, H. Wang, and X. Liu. 2017. Biomass burning aerosol transport and vertical distribution over the South African-Atlantic region. Journal of Geophysical Research: Atmospheres. 122(12):6391-6415. https://doi.org/10.1002/2016JD026421 | Global Fire Emissions Database, Version 3.1 |
2017 | Dawson, K.W., N. Meskhidze, S.P. Burton, M.S. Johnson, M.S. Kacenelenbogen, C.A. Hostetler, and Y. Hu. 2017. Creating Aerosol Types from CHemistry (CATCH): A New Algorithm to Extend the Link Between Remote Sensing and Models. Journal of Geophysical Research: Atmospheres. 122(22):12,366-12,392. https://doi.org/10.1002/2017JD026913 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2017 | Evans, M., N. Kholod, T. Kuklinski, A. Denysenko, S.J. Smith, A. Staniszewski, W.M. Hao, L. Liu, and T.C. Bond. 2017. Black carbon emissions in Russia: A critical review. Atmospheric Environment. 163:9-21. https://doi.org/10.1016/j.atmosenv.2017.05.026 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2017 | Faiz, M.A., D. Liu, Q. Fu, M. Uzair, M.I. Khan, F. Baig, T. Li, and S. Cui. 2017. Stream flow variability and drought severity in the Songhua River Basin, Northeast China. Stochastic Environmental Research and Risk Assessment. 32(5):1225-1242. https://doi.org/10.1007/s00477-017-1463-3 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2017 | Gao, M., Z. Liu, Y. Wang, X. Lu, D. Ji, L. Wang, M. Li, Z. Wang, Q. Zhang, and G.R. Carmichael. 2017. Distinguishing the roles of meteorology, emission control measures, regional transport, and co-benefits of reduced aerosol feedbacks in "APEC Blue". Atmospheric Environment. 167:476-486. https://doi.org/10.1016/j.atmosenv.2017.08.054 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2017 | Garcia, M.I., S. Rodriguez, and A. Alastuey. 2017. Impact of North America on the aerosol composition in the North Atlantic free troposphere. Atmospheric Chemistry and Physics. 17(12):7387-7404. https://doi.org/10.5194/acp-17-7387-2017 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2017 | Giarrizzo, E., S. Burrascano, T. Chiti, F. de Bello, J. Leps, L. Zavattero, and C. Blasi. 2017. Re-visiting historical semi-natural grasslands in the Apennines to assess patterns of changes in species composition and functional traits. Applied Vegetation Science. 20(2):247-258. https://doi.org/10.1111/avsc.12288 | A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves |
2017 | Gromov, S., C.A.M. Brenninkmeijer, and P. Jockel. 2017. Uncertainties of fluxes and <sup>13</sup>C [?] <sup>12</sup>C ratios of atmospheric reactive-gas emissions. Atmospheric Chemistry and Physics. 17(13):8525-8552. https://doi.org/10.5194/acp-17-8525-2017 | Global Fire Emissions Database, Version 2.1 |
2017 | Grythe, H., N.I. Kristiansen, C.D. Groot Zwaaftink, S. Eckhardt, J. Strom, P. Tunved, R. Krejci, and A. Stohl. 2017. A new aerosol wet removal scheme for the Lagrangian particle model FLEXPART v10. Geoscientific Model Development. 10(4):1447-1466. https://doi.org/10.5194/gmd-10-1447-2017 | Global Fire Emissions Database, Version 3.1 |
2017 | Han, J., M. Lee, X. Shang, G. Lee, and L.K. Emmons. 2017. Decoupling peroxyacetyl nitrate from ozone in Chinese outflows observed at Gosan Climate Observatory. Atmospheric Chemistry and Physics. 17(17):10619-10631. https://doi.org/10.5194/acp-17-10619-2017 | Global Fire Emissions Database, Version 3.1 |
2017 | Houghton, R.A. and A.A. Nassikas. 2017. Global and regional fluxes of carbon from land use and land cover change 1850-2015. Global Biogeochemical Cycles. 31(3):456-472. https://doi.org/10.1002/2016GB005546 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2017 | Law, R.M., L.P. Steele, P.B. Krummel, and W. Zahorowski. 2017. Synoptic variations in atmospheric CO2 at Cape Grim: a model intercomparison. Tellus B: Chemical and Physical Meteorology. 62(5):810-820. https://doi.org/10.1111/j.1600-0889.2010.00470.x | SiB3 Modeled Global 1-degree Hourly Biosphere-Atmosphere Carbon Flux, 1998-2006 |
2017 | Li, J., M. Zhang, F. Wu, Y. Sun, and G. Tang. 2017. Assessment of the impacts of aromatic VOC emissions and yields of SOA on SOA concentrations with the air quality model RAMS-CMAQ. Atmospheric Environment. 158:105-115. https://doi.org/10.1016/j.atmosenv.2017.03.035 | Global Fire Emissions Database, Version 2 (GFEDv2) |
2017 | Li, J., M. Zhang, F. Wu, Y. Sun, and G. Tang. 2017. Assessment of the impacts of aromatic VOC emissions and yields of SOA on SOA concentrations with the air quality model RAMS-CMAQ. Atmospheric Environment. 158:105-115. https://doi.org/10.1016/j.atmosenv.2017.03.035 | Global Fire Emissions Database, Version 2.1 |
2017 | Li, T., Q. Zhang, Z. Cheng, G. Wang, L. Yu, and W. Zhang. 2017. Performance of CH4MODwetland for the case study of different regions of natural Chinese wetland. Journal of Environmental Sciences. 57:356-369. https://doi.org/10.1016/j.jes.2017.01.001 | Global Distribution of Root Nutrient Concentrations in Terrestrial Ecosystems |
2017 | Lin, M.Y., I.F. Hsieh, P.H. Lin, S. Laplace, M. Ohashi, T.H. Chen, and T. Kume. 2017. Moso bamboo (Phyllostachys pubescens) forests as a significant carbon sink? A case study based on 4-year measurements in central Taiwan. Ecological Research. 32(6):845-857. https://doi.org/10.1007/s11284-017-1497-5 | Global Forest Ecosystem Structure and Function Data For Carbon Balance Research |
2017 | Loboda, T.V. and D. Chen. 2017. Spatial distribution of young forests and carbon fluxes within recent disturbances in Russia. Global Change Biology. 23(1):138-153. https://doi.org/10.1111/gcb.13349 | Russian Boreal Forest Disturbance Maps Derived from Landsat Imagery, 1984-2000 |
2017 | Luo, Y., Z. Shi, X. Lu, J. Xia, J. Liang, J. Jiang, Y. Wang, M.J. Smith, L. Jiang, A. Ahlstrom, B. Chen, O. Hararuk, A. Hastings, F. Hoffman, B. Medlyn, S. Niu, M. Rasmussen, K. Todd-Brown, and Y.P. Wang. 2017. Transient dynamics of terrestrial carbon storage: mathematical foundation and its applications. Biogeosciences. 14(1):145-161. https://doi.org/10.5194/bg-14-145-2017 | A Global Data Set of Leaf Photosynthetic Rates, Leaf N and P, and Specific Leaf Area |
2017 | Marcolla, B., C. Rodenbeck, and A. Cescatti. 2017. Patterns and controls of inter-annual variability in the terrestrial carbon budget. Biogeosciences. 14(16):3815-3829. https://doi.org/10.5194/bg-14-3815-2017 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2017 | Matthies, D. 2017. Interactions between a root hemiparasite and 27 different hosts: Growth, biomass allocation and plant architecture. Perspectives in Plant Ecology, Evolution and Systematics. 24:118-137. https://doi.org/10.1016/j.ppees.2016.12.006 | Biomass Allocation and Growth Data of Seeded Plants |
2017 | Pandey, S., S. Houweling, M. Krol, I. Aben, G. Monteil, N. Nechita-Banda, E.J. Dlugokencky, R. Detmers, O. Hasekamp, X. Xu, W.J. Riley, B. Poulter, Z. Zhang, K.C. McDonald, J.W.C. White, P. Bousquet, and T. Rockmann. 2017. Enhanced methane emissions from tropical wetlands during the 2011 La Nina. Scientific Reports. 7(1):. https://doi.org/10.1038/srep45759 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2017 | Peng, W., J. Yang, F. Wagner, and D.L. Mauzerall. 2017. Substantial air quality and climate co-benefits achievable now with sectoral mitigation strategies in China. Science of The Total Environment. 598:1076-1084. https://doi.org/10.1016/j.scitotenv.2017.03.287 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2017 | Perera, K.M.P., R.S. Lokupitiya, D. Zupanski, A.S. Denning, R.G.N. Meegama, E.Y.K. Lokupitiya, and P.K. Patra. 2017. Estimation of Asian and Global Carbon Fluxes Using Maximum Likelihood Ensemble Filter (MLEF). 7-19. https://doi.org/10.17501/iccc.2017.1102 | SiB3 Modeled Global 1-degree Hourly Biosphere-Atmosphere Carbon Flux, 1998-2006 |
2017 | Permadi, D.A., A. Sofyan, and N.T. Kim Oanh. 2017. Assessment of emissions of greenhouse gases and air pollutants in Indonesia and impacts of national policy for elimination of kerosene use in cooking. Atmospheric Environment. 154:82-94. https://doi.org/10.1016/j.atmosenv.2017.01.041 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2017 | Redding, D.W., S. Tiedt, G. Lo Iacono, B. Bett, and K.E. Jones. 2017. Spatial, seasonal and climatic predictive models of Rift Valley fever disease across Africa. Philosophical Transactions of the Royal Society B: Biological Sciences. 372(1725):20160165. https://doi.org/10.1098/rstb.2016.0165 | LUH1: Harmonized Global Land Use for Years 1500-2100, V1 |
2017 | Roest, G. and G. Schade. 2017. Quantifying alkane emissions in the Eagle Ford Shale using boundary layer enhancement. Atmospheric Chemistry and Physics. 17(18):11163-11176. https://doi.org/10.5194/acp-17-11163-2017 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2017 | San Miguel, J., E. Chuvieco, J. Handmer, A. Moffat, C. Montiel-Molina, L. Sandahl, and D. Viegas2017. Climatological risk: wildfires. Understanding Disaster Risk: Hazard Related Risk Issues - Section III. | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2017 | Sasakawa, M., K. Shimoyama, T. Machida, N. Tsuda, H. Suto, M. Arshinov, D. Davydov, A. Fofonov, O. Krasnov, T. Saeki, Y. Koyama, and S. Maksyutov. 2017. Continuous measurements of methane from a tower network over Siberia. Tellus B: Chemical and Physical Meteorology. 62(5):403-416. https://doi.org/10.1111/j.1600-0889.2010.00494.x | Global Fire Emissions Database, Version 2 (GFEDv2) |
2017 | Schlaepfer, D.R., J.B. Bradford, W.K. Lauenroth, S.M. Munson, B. Tietjen, S.A. Hall, S.D. Wilson, M.C. Duniway, G. Jia, D.A. Pyke, A. Lkhagva, and K. Jamiyansharav. 2017. Climate change reduces extent of temperate drylands and intensifies drought in deep soils. Nature Communications. 8:14196. https://doi.org/10.1038/ncomms14196 | Global Distribution of Root Profiles in Terrestrial Ecosystems |
2017 | Tietjen, B., D.R. Schlaepfer, J.B. Bradford, W.K. Lauenroth, S.A. Hall, M.C. Duniway, T. Hochstrasser, G. Jia, S.M. Munson, D.A. Pyke, and S.D. Wilson. 2017. Climate change-induced vegetation shifts lead to more ecological droughts despite projected rainfall increases in many global temperate drylands. Global Change Biology. 23(7):2743-2754. https://doi.org/10.1111/gcb.13598 | Global Distribution of Root Profiles in Terrestrial Ecosystems |
2017 | Varotsos, C.A. and V.F. Krapivin. 2017. A new big data approach based on geoecological information-modeling system. Big Earth Data. 1(1-2):47-63. https://doi.org/10.1080/20964471.2017.1397405 | Global 1-degree Maps of Forest Area, Carbon Stocks, and Biomass, 1950-2010 |
2017 | Wei, Z., K. Yoshimura, L. Wang, D.G. Miralles, S. Jasechko, and X. Lee. 2017. Revisiting the contribution of transpiration to global terrestrial evapotranspiration. Geophysical Research Letters. 44(6):2792-2801. https://doi.org/10.1002/2016GL072235 | Long-Term Arctic Growing Season NDVI Trends from GIMMS 3g, 1982-2012 |
2017 | Wieczorek, M., S. Kruse, L.S. Epp, A. Kolmogorov, A.N. Nikolaev, I. Heinrich, F. Jeltsch, L.A. Pestryakova, R. Zibulski, and U. Herzschuh. 2017. Dissimilar responses of larch stands in northern Siberia to increasing temperatures-a field and simulation based study. Ecology. 98(9):2343-2355. https://doi.org/10.1002/ecy.1887 | RLC Forest Cover Map of the Former Soviet Union, 1990 |
2017 | Wu, L., H. Su, O.V. Kalashnikova, J.H. Jiang, C. Zhao, M.J. Garay, J.R. Campbell, and N. Yu. 2017. WRF-Chem simulation of aerosol seasonal variability in the San Joaquin Valley. Atmospheric Chemistry and Physics. 17(12):7291-7309. https://doi.org/10.5194/acp-17-7291-2017 | Global Fire Emissions Database, Version 2.1 |
2017 | Yan, Y., X. Zhou, L. Jiang, and Y. Luo. 2017. Effects of carbon turnover time on terrestrial ecosystem carbon storage. Biogeosciences. 14(23):5441-5454. https://doi.org/10.5194/bg-14-5441-2017 | A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients |
2017 | Zumkehr, A.L.2017. Anthropogenic Sources of Carbonyl Sulfide: Implications for inverse analysis of process-level carbon cycle fluxes. University of California, Merced. | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2016 | Aleman, J.C., O. Blarquez, and C.A. Staver. 2016. Land-use change outweighs projected effects of changing rainfall on tree cover in sub-Saharan Africa. Global Change Biology. 22(9):3013-3025. https://doi.org/10.1111/gcb.13299 | LUH1: Harmonized Global Land Use for Years 1500-2100, V1 |
2016 | Balch, J.K., R.C. Nagy, S. Archibald, D.M.J.S. Bowman, M.A. Moritz, C.I. Roos, A.C. Scott, and G.J. Williamson. 2016. Global combustion: the connection between fossil fuel and biomass burning emissions (1997-2010). Philosophical Transactions of the Royal Society B: Biological Sciences. 371(1696):20150177. https://doi.org/10.1098/rstb.2015.0177 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2016 | Basso, Luana S.; Gatti, Luciana V.; Gloor, Manuel; Miller, John B.; Domingues, Lucas G.; Correia, Caio S. C.; Borges, Viviane F. (2016) Seasonality and interannual variability of CH4 fluxes from the eastern Amazon Basin inferred from atmospheric mole fraction profiles.Journal of Geophysical Research: Atmospheres. 121(1): 2015JD023874. https://doi.org/10.1002/2015JD023874 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2016 | Basu, S., J.B. Miller, and S. Lehman. 2016. Separation of biospheric and fossil fuel fluxes of CO<sub>2</sub> by atmospheric inversion of CO<sub>2</sub> and <sup>14</sup>CO<sub>2</sub> measurements: Observation System Simulations. Atmospheric Chemistry and Physics. 16(9):5665-5683. https://doi.org/10.5194/acp-16-5665-2016 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2016 | Belikov, D.A., S. Maksyutov, A. Yaremchuk, A. Ganshin, T. Kaminski, S. Blessing, M. Sasakawa, A.J. Gomez-Pelaez, and A. Starchenko. 2016. Adjoint of the global Eulerian-Lagrangian coupled atmospheric transport model (A-GELCA v1.0): development and validation. Geoscientific Model Development. 9(2):749-764. https://doi.org/10.5194/gmd-9-749-2016 | Global Fire Emissions Database, Version 3.1 |
2016 | Berezin, E., I. Konovalov, and Y. Romanova. 2016. Inverse Modeling of Nitrogen Oxides Emissions from the 2010 Russian Wildfires by Using Satellite Measurements of Nitrogen Dioxide. Atmosphere. 7(10):132. https://doi.org/10.3390/atmos7100132 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2016 | Borsdorff, T., P. Tol, J.E. Williams, J. de Laat, J. aan de Brugh, P. Nedelec, I. Aben, and J. Landgraf. 2016. Carbon monoxide total columns from SCIAMACHY 2.3 um atmospheric reflectance measurements: towards a full-mission data product (2003-2012). Atmospheric Measurement Techniques. 9(1):227-248. https://doi.org/10.5194/amt-9-227-2016 | Global Fire Emissions Database, Version 3.1 |
2016 | Dass, P., M.A. Rawlins, J.S. Kimball, and Y. Kim. 2016. Environmental controls on the increasing GPP of terrestrial vegetation across northern Eurasia. Biogeosciences. 13(1):45-62. https://doi.org/10.5194/bg-13-45-2016 | Global Fire Emissions Database, Version 3.1 |
2016 | Deeter, M.N., S. Martinez-Alonso, L.V. Gatti, M. Gloor, J.B. Miller, L.G. Domingues, and C.S.C. Correia. 2016. Validation and analysis of MOPITT CO observations of the Amazon Basin. Atmospheric Measurement Techniques. 9(8):3999-4012. https://doi.org/10.5194/amt-9-3999-2016 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2016 | Drastig, K., A. Prochnow, J. Libra, H. Koch, and S. Rolinski. 2016. Irrigation water demand of selected agricultural crops in Germany between 1902 and 2010. Science of The Total Environment. 569-570:1299-1314. https://doi.org/10.1016/j.scitotenv.2016.06.206 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2016 | Drastig, K., J. Libra, S. Kraatz, and H. Koch. 2016. Relationship between irrigation water demand and yield of selected crops in Germany between 1902 and 2010: a modeling study. Environmental Earth Sciences. 75(22):. https://doi.org/10.1007/s12665-016-6235-8 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2016 | Elshorbany, Y.F., B.N. Duncan, S.A. Strode, J.S. Wang, and J. Kouatchou. 2016. The description and validation of the computationally Efficient CH<sub>4</sub>-CO-OH (ECCOHv1.01) chemistry module for 3-D model applications. Geoscientific Model Development. 9(2):799-822. https://doi.org/10.5194/gmd-9-799-2016 | Global Fire Emissions Database, Version 3.1 |
2016 | Francey, R.J. and J.S. Frederiksen. 2016. The 2009-2010 step in atmospheric CO<sub>2</sub> interhemispheric difference. Biogeosciences. 13(3):873-885. https://doi.org/10.5194/bg-13-873-2016 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2016 | Frankenberg, C., S.S. Kulawik, S.C. Wofsy, F. Chevallier, B. Daube, E.A. Kort, C. O'Dell, E.T. Olsen, and G. Osterman. 2016. Using airborne HIAPER Pole-to-Pole Observations (HIPPO) to evaluate model and remote sensing estimates of atmospheric carbon dioxide. Atmospheric Chemistry and Physics. 16(12):7867-7878. https://doi.org/10.5194/acp-16-7867-2016 | Global Fire Emissions Database, Version 3.1 |
2016 | Fuchs, R., C.J.E. Schulp, G.M. Hengeveld, P.H. Verburg, J.G.P.W. Clevers, M.J. Schelhaas, and M. Herold. 2016. Assessing the influence of historic net and gross land changes on the carbon fluxes of Europe. Global Change Biology. 22(7):2526-2539. https://doi.org/10.1111/gcb.13191 | Global 1-degree Maps of Forest Area, Carbon Stocks, and Biomass, 1950-2010 |
2016 | Glaser, B., J. Klaus, S. Frei, J. Frentress, L. Pfister, and L. Hopp. 2016. On the value of surface saturated area dynamics mapped with thermal infrared imagery for modeling the hillslope-riparian-stream continuum. Water Resources Research. 52(10):8317-8342. https://doi.org/10.1002/2015WR018414 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2016 | Gu, H., C.A. Williams, B. Ghimire, F. Zhao, and C. Huang. 2016. High-resolution mapping of time since disturbance and forest carbon flux from remote sensing and inventory data to assess harvest, fire, and beetle disturbance legacies in the Pacific Northwest. Biogeosciences. 13(22):6321-6337. https://doi.org/10.5194/bg-13-6321-2016 | Global Fire Emissions Database, Version 3.1 |
2016 | Hao, W.M., A. Petkov, B.L. Nordgren, R.E. Corley, R.P. Silverstein, S.P. Urbanski, N. Evangeliou, Y. Balkanski, and B.L. Kinder. 2016. Daily black carbon emissions from fires in northern Eurasia for 2002-2015. Geoscientific Model Development. 9(12):4461-4474. https://doi.org/10.5194/gmd-9-4461-2016 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2016 | He, C., Q. Li, K.N. Liou, L. Qi, S. Tao, and J.P. Schwarz. 2016. Microphysics-based black carbon aging in a global CTM: constraints from HIPPO observations and implications for global black carbon budget. Atmospheric Chemistry and Physics. 16(5):3077-3098. https://doi.org/10.5194/acp-16-3077-2016 | Global Fire Emissions Database, Version 3.1 |
2016 | Hirabayashi, S. and D.J. Nowak. 2016. Comprehensive national database of tree effects on air quality and human health in the United States. Environmental Pollution. 215:48-57. https://doi.org/10.1016/j.envpol.2016.04.068 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2016 | Huang, K. and J.S. Fu. 2016. A global gas flaring black carbon emission rate dataset from 1994 to 2012. Scientific Data. 3:160104. https://doi.org/10.1038/sdata.2016.104 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2016 | Huijnen, V., M.J. Wooster, J.W. Kaiser, D.L.A. Gaveau, J. Flemming, M. Parrington, A. Inness, D. Murdiyarso, B. Main, and M. van Weele. 2016. Fire carbon emissions over maritime southeast Asia in 2015 largest since 1997. Scientific Reports. 6(1):. https://doi.org/10.1038/srep26886 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2016 | Hurtt, G.C., R.Q. Thomas, J.P. Fisk, R.O. Dubayah, and S.L. Sheldon. 2016. The Impact of Fine-Scale Disturbances on the Predictability of Vegetation Dynamics and Carbon Flux. PLOS ONE. 11(4):e0152883. https://doi.org/10.1371/journal.pone.0152883 | Canopy Height and Biomass from LiDAR Surveys at La Selva, Costa Rica, 1998 and 2005 |
2016 | Husain, S.Z., N. Alavi, S. Belair, M. Carrera, S. Zhang, V. Fortin, M. Abrahamowicz, and N. Gauthier. 2016. The Multibudget Soil, Vegetation, and Snow (SVS) Scheme for Land Surface Parameterization: Offline Warm Season Evaluation. Journal of Hydrometeorology. 17(8):2293-2313. https://doi.org/10.1175/JHM-D-15-0228.1 | Global Distribution of Root Profiles in Terrestrial Ecosystems |
2016 | Ishizawa, M., O. Uchino, I. Morino, M. Inoue, Y. Yoshida, K. Mabuchi, T. Shirai, Y. Tohjima, S. Maksyutov, H. Ohyama, S. Kawakami, A. Takizawa, and D. Belikov. 2016. Large XCH<sub>4</sub> anomaly in summer 2013 over northeast Asia observed by GOSAT. Atmospheric Chemistry and Physics. 16(14):9149-9161. https://doi.org/10.5194/acp-16-9149-2016 | Global Fire Emissions Database, Version 3.1 |
2016 | Jiang, F., J.M. Chen, L. Zhou, W. Ju, H. Zhang, T. Machida, P. Ciais, W. Peters, H. Wang, B. Chen, L. Liu, C. Zhang, H. Matsueda, and Y. Sawa. 2016. A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches. Scientific Reports. 6(1):. https://doi.org/10.1038/srep22130 | Global Fire Emissions Database, Version 3.1 |
2016 | Jiang, X., D. Crisp, E.T. Olsen, S.S. Kulawik, C.E. Miller, T.S. Pagano, M. Liang, and Y.L. Yung. 2016. CO2annual and semiannual cycles from multiple satellite retrievals and models. Earth and Space Science. 3(2):78-87. https://doi.org/10.1002/2014EA000045 | Global Fire Emissions Database, Version 3.1 |
2016 | Kalenderski, S. and G. Stenchikov. 2016. High-resolution regional modeling of summertime transport and impact of African dust over the Red Sea and Arabian Peninsula. Journal of Geophysical Research: Atmospheres. 121(11):6435-6458. https://doi.org/10.1002/2015JD024480 | Global Fire Emissions Database, Version 3.1 |
2016 | Klemm, J., U. Herzschuh, and L.A. Pestryakova. 2016. Vegetation, climate and lake changes over the last 7000 years at the boreal treeline in north-central Siberia. Quaternary Science Reviews. 147:422-434. https://doi.org/10.1016/j.quascirev.2015.08.015 | RLC Vegetative Cover of the Former Soviet Union, 1990 |
2016 | LI, J.L., M.G. ZHANG, Y. GAO, and L. CHEN. 2016. Model analysis of secondary organic aerosol over China with a regional air quality modeling system (RAMS-CMAQ). Atmospheric and Oceanic Science Letters. 9(6):443-450. https://doi.org/10.1080/16742834.2016.1233798 | Global Fire Emissions Database, Version 2.1 |
2016 | LaFranchi, B.W., K.J. McFarlane, J.B. Miller, S.J. Lehman, C.L. Phillips, A.E. Andrews, P.P. Tans, H. Chen, Z. Liu, J.C. Turnbull, X. Xu, and T.P. Guilderson. 2016. Strong regional atmospheric 14 C signature of respired CO2 observed from a tall tower over the midwestern United States. Journal of Geophysical Research: Biogeosciences. 121(8):2275-2295. https://doi.org/10.1002/2015JG003271 | Global Fire Emissions Database, Version 3.1 |
2016 | Lang, M., A. Lilleleht, M. Neumann, K. Bronisz, S.G. Rolim, M. Seedre, V. Uri, and A. Kiviste. 2016. Estimation of above-ground biomass in forest stands from regression on their basal area and height. Forestry Studies. 64(1):70-92. https://doi.org/10.1515/fsmu-2016-0005 | Biomass Allocation and Growth Data of Seeded Plants |
2016 | Le Quere, C., R.M. Andrew, J.G. Canadell, S. Sitch, J.I. Korsbakken, G.P. Peters, A.C. Manning, T.A. Boden, P.P. Tans, R.A. Houghton, R.F. Keeling, S. Alin, O.D. Andrews, P. Anthoni, L. Barbero, L. Bopp, F. Chevallier, L.P. Chini, P. Ciais, K. Currie, C. Delire, S.C. Doney, P. Friedlingstein, T. Gkritzalis, I. Harris, J. Hauck, V. Haverd, M. Hoppema, K. Klein Goldewijk, A.K. Jain, E. Kato, A. Kortzinger, P. Landschutzer, N. Lefevre, A. Lenton, S. Lienert, D. Lombardozzi, J.R. Melton, N. Metzl, F. Millero, P.M.S. Monteiro, D.R. Munro, J.E.M.S. Nabel, S.i. Nakaoka, K. O'Brien, A. Olsen, A.M. Omar, T. Ono, D. Pierrot, B. Poulter, C. Rodenbeck, J. Salisbury, U. Schuster, J. Schwinger, R. Seferian, I. Skjelvan, B.D. Stocker, A.J. Sutton, T. Takahashi, H. Tian, B. Tilbrook, I.T. van der Laan-Luijkx, G.R. van der Werf, N. Viovy, A.P. Walker, A.J. Wiltshire, and S. Zaehle. 2016. Global Carbon Budget 2016. Earth System Science Data. 8(2):605-649. https://doi.org/10.5194/essd-8-605-2016 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2016 | Li, T., B. Xie, G. Wang, W. Zhang, Q. Zhang, T. Vesala, and M. Raivonen. 2016. Field-scale simulation of methane emissions from coastal wetlands in China using an improved version of CH4MOD wetland. Science of The Total Environment. 559:256-267. https://doi.org/10.1016/j.scitotenv.2016.03.186 | Global Distribution of Root Nutrient Concentrations in Terrestrial Ecosystems |
2016 | Li, X., W. Li, Q. Meng, C. Zhang, T. Jancso, and K. Wu. 2016. Modelling building proximity to greenery in a three-dimensional perspective using multi-source remotely sensed data. Journal of Spatial Science. 61(2):389-403. https://doi.org/10.1080/14498596.2015.1132642 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2016 | Marais, E.A. and C. Wiedinmyer. 2016. Air Quality Impact of Diffuse and Inefficient Combustion Emissions in Africa (DICE-Africa). Environmental Science & Technology. 50(19):10739-10745. https://doi.org/10.1021/acs.est.6b02602 | Global Fire Emissions Database, Version 3.1 |
2016 | McNickle, G.G., M.A. Gonzalez-Meler, D.J. Lynch, J.L. Baltzer, and J.S. Brown. 2016. The world's biomes and primary production as a triple tragedy of the commons foraging game played among plants. Proceedings of the Royal Society B: Biological Sciences. 283(1842):20161993. https://doi.org/10.1098/rspb.2016.1993 | Global Forest Ecosystem Structure and Function Data For Carbon Balance Research |
2016 | Meiyappan, P., P.S. Roy, Y. Sharma, R.M. Ramachandran, P.K. Joshi, R.S. DeFries, and A.K. Jain. 2016. Dynamics and determinants of land change in India: integrating satellite data with village socioeconomics. Regional Environmental Change. 17(3):753-766. https://doi.org/10.1007/s10113-016-1068-2 | Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005 |
2016 | Mekonnen, Z.A., R.F. Grant, and C. Schwalm. 2016. Contrasting changes in gross primary productivity of different regions of North America as affected by warming in recent decades. Agricultural and Forest Meteorology. 218-219:50-64. https://doi.org/10.1016/j.agrformet.2015.11.016 | Global Fire Emissions Database, Version 3.1 |
2016 | P., B., C. V., P.S. Roy, P.K. Joshi, and C. K. 2016. Long-term agricultural performance and climate variability for drought assessment: a regional study from Telangana and Andhra Pradesh states, India. Geomatics, Natural Hazards and Risk. 8(2):822-840. https://doi.org/10.1080/19475705.2016.1271831 | Long-Term Arctic Growing Season NDVI Trends from GIMMS 3g, 1982-2012 |
2016 | Palmquist, K.A., D.R. Schlaepfer, J.B. Bradford, and W.K. Lauenroth. 2016. Mid-latitude shrub steppe plant communities: climate change consequences for soil water resources. Ecology. 97(9):2342-2354. https://doi.org/10.1002/ecy.1457 | Global Distribution of Root Profiles in Terrestrial Ecosystems |
2016 | Palmquist, K.A., D.R. Schlaepfer, J.B. Bradford, and W.K. Lauenroth. 2016. Spatial and ecological variation in dryland ecohydrological responses to climate change: implications for management. Ecosphere. 7(11):e01590. https://doi.org/10.1002/ecs2.1590 | Global Distribution of Root Profiles in Terrestrial Ecosystems |
2016 | Pandey, S., S. Houweling, M. Krol, I. Aben, F. Chevallier, E.J. Dlugokencky, L.V. Gatti, E. Gloor, J.B. Miller, R. Detmers, T. Machida, and T. Rockmann. 2016. Inverse modeling of GOSAT-retrieved ratios of total column CH<sub>4</sub> and CO<sub>2</sub> for 2009 and 2010. Atmospheric Chemistry and Physics. 16(8):5043-5062. https://doi.org/10.5194/acp-16-5043-2016 | Global Fire Emissions Database, Version 3.1 |
2016 | Peylin, P., C. Bacour, N. MacBean, S. Leonard, P. Rayner, S. Kuppel, E. Koffi, A. Kane, F. Maignan, F. Chevallier, P. Ciais, and P. Prunet. 2016. A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle. Geoscientific Model Development. 9(9):3321-3346. https://doi.org/10.5194/gmd-9-3321-2016 | Global Fire Emissions Database, Version 3.1 |
2016 | Pisso, I., C.L. Myhre, S.M. Platt, S. Eckhardt, O. Hermansen, N. Schmidbauer, J. Mienert, S. Vadakkepuliyambatta, S. Bauguitte, J. Pitt, G. Allen, K.N. Bower, S. O'Shea, M.W. Gallagher, C.J. Percival, J. Pyle, M. Cain, and A. Stohl. 2016. Constraints on oceanic methane emissions west of Svalbard from atmospheric in situ measurements and Lagrangian transport modeling. Journal of Geophysical Research: Atmospheres. 121(23):14,188-14,200. https://doi.org/10.1002/2016JD025590 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2016 | Pope, R.J., N.A.D. Richards, M.P. Chipperfield, D.P. Moore, S.A. Monks, S.R. Arnold, N. Glatthor, M. Kiefer, T.J. Breider, J.J. Harrison, J.J. Remedios, C. Warneke, J.M. Roberts, G.S. Diskin, L.G. Huey, A. Wisthaler, E.C. Apel, P.F. Bernath, and W. Feng. 2016. Intercomparison and evaluation of satellite peroxyacetyl nitrate observations in the upper troposphere-lower stratosphere. Atmospheric Chemistry and Physics. 16(21):13541-13559. https://doi.org/10.5194/acp-16-13541-2016 | Global Fire Emissions Database, Version 3.1 |
2016 | Rydsaa, J.H., F. Stordal, G. Gerosa, A. Finco, and O. Hodnebrog. 2016. Evaluating stomatal ozone fluxes in WRF-Chem: Comparing ozone uptake in Mediterranean ecosystems. Atmospheric Environment. 143:237-248. https://doi.org/10.1016/j.atmosenv.2016.08.057 | Global Fire Emissions Database, Version 3.1 |
2016 | Sato, Y., H. Miura, H. Yashiro, D. Goto, T. Takemura, H. Tomita, and T. Nakajima. 2016. Unrealistically pristine air in the Arctic produced by current global scale models. Scientific Reports. 6(1):. https://doi.org/10.1038/srep26561 | Global Fire Emissions Database, Version 3.1 |
2016 | Schwendenmann, L. and C. Macinnis-Ng. 2016. Soil CO<sub>2</sub> efflux in an old-growth southern conifer forest (<i>Agathis australis</i>) – magnitude, components and controls. SOIL. 2(3):403-419. https://doi.org/10.5194/soil-2-403-2016 | A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients |
2016 | Speakman, J.R. and S. Heidari-Bakavoli. 2016. Type 2 diabetes, but not obesity, prevalence is positively associated with ambient temperature. Scientific Reports. 6(1):. https://doi.org/10.1038/srep30409 | Geoecology: County-Level Environmental Data for the United States, 1941-1981 |
2016 | Starko, S. and P.T. Martone. 2016. An empirical test of 'universal' biomass scaling relationships in kelps: evidence of convergence with seed plants. New Phytologist. 212(3):719-729. https://doi.org/10.1111/nph.14120 | Biomass Allocation and Growth Data of Seeded Plants |
2016 | Wang, X., Z. Bao, C.J. Lin, W. Yuan, and X. Feng. 2016. Assessment of Global Mercury Deposition through Litterfall. Environmental Science & Technology. 50(16):8548-8557. https://doi.org/10.1021/acs.est.5b06351 | A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients |
2016 | Wang, Y., G. Li, J. Ding, Z. Guo, S. Tang, C. Wang, Q. Huang, R. Liu, and J.M. Chen. 2016. A combined GLAS and MODIS estimation of the global distribution of mean forest canopy height. Remote Sensing of Environment. 174:24-43. https://doi.org/10.1016/j.rse.2015.12.005 | Global Forest Ecosystem Structure and Function Data For Carbon Balance Research |
2016 | Welp, L.R., P.K. Patra, C. Rodenbeck, R. Nemani, J. Bi, S.C. Piper, and R.F. Keeling. 2016. Increasing summer net CO<sub>2</sub> uptake in high northern ecosystems inferred from atmospheric inversions and comparisons to remote-sensing NDVI. Atmospheric Chemistry and Physics. 16(14):9047-9066. https://doi.org/10.5194/acp-16-9047-2016 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2016 | Whitburn, S., M. Van Damme, L. Clarisse, S. Turquety, C. Clerbaux, and P.F. Coheur. 2016. Doubling of annual ammonia emissions from the peat fires in Indonesia during the 2015 El Nino. Geophysical Research Letters. 43(20):11,007-11,014. https://doi.org/10.1002/2016GL070620 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2016 | Yan, Y., J. Lin, J. Chen, and L. Hu. 2016. Improved simulation of tropospheric ozone by a global-multi-regional two-way coupling model system. Atmospheric Chemistry and Physics. 16(4):2381-2400. https://doi.org/10.5194/acp-16-2381-2016 | Global Fire Emissions Database, Version 3.1 |
2015 | Babenhauserheide, A., S. Basu, S. Houweling, W. Peters, and A. Butz. 2015. Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO<sub>2</sub> surface flux inversions. Atmospheric Chemistry and Physics. 15(17):9747-9763. https://doi.org/10.5194/acp-15-9747-2015 | Global Fire Emissions Database, Version 2.1 |
2015 | Brahney, J., N. Mahowald, D.S. Ward, A.P. Ballantyne, and J.C. Neff. 2015. Is atmospheric phosphorus pollution altering global alpine Lake stoichiometry?. Global Biogeochemical Cycles. 29(9):1369-1383. https://doi.org/10.1002/2015GB005137 | Global Fire Emissions Database, Version 3.1 |
2015 | Brown-Steiner, B., P.G. Hess, and M.Y. Lin. 2015. On the capabilities and limitations of GCCM simulations of summertime regional air quality: A diagnostic analysis of ozone and temperature simulations in the US using CESM CAM-Chem. Atmospheric Environment. 101:134-148. https://doi.org/10.1016/j.atmosenv.2014.11.001 | Global Fire Emissions Database, Version 2 (GFEDv2) |
2015 | Chen, J.M., J.W. Fung, G. Mo, F. Deng, and T.O. West. 2015. Atmospheric inversion of surface carbon flux with consideration of the spatial distribution of US crop production and consumption. Biogeosciences. 12(2):323-343. https://doi.org/10.5194/bg-12-323-2015 | Global Fire Emissions Database, Version 2.1 |
2015 | Deng, F., D.B.A. Jones, T.W. Walker, M. Keller, K.W. Bowman, D.K. Henze, R. Nassar, E.A. Kort, S.C. Wofsy, K.A. Walker, A.E. Bourassa, and D.A. Degenstein. 2015. Sensitivity analysis of the potential impact of discrepancies in stratosphere-troposphere exchange on inferred sources and sinks of CO<sub>2</sub>. Atmospheric Chemistry and Physics. 15(20):11773-11788. https://doi.org/10.5194/acp-15-11773-2015 | Global Fire Emissions Database, Version 3.1 |
2015 | Fisher, J.A., S.R. Wilson, G. Zeng, J.E. Williams, L.K. Emmons, R.L. Langenfelds, P.B. Krummel, and L.P. Steele. 2015. Seasonal changes in the tropospheric carbon monoxide profile over the remote Southern Hemisphere evaluated using multi-model simulations and aircraft observations. Atmospheric Chemistry and Physics. 15(6):3217-3239. https://doi.org/10.5194/acp-15-3217-2015 | Global Fire Emissions Database, Version 3.1 |
2015 | Gao, Y., M. Zhang, X. Liu, and L. Wang. 2015. Change in diurnal variations of meteorological variables induced by anthropogenic aerosols over the North China Plain in summer 2008. Theoretical and Applied Climatology. 124(1-2):103-118. https://doi.org/10.1007/s00704-015-1403-4 | Global Fire Emissions Database, Version 2.1 |
2015 | Gao, Y., M. Zhang, Z. Liu, L. Wang, P. Wang, X. Xia, M. Tao, and L. Zhu. 2015. Modeling the feedback between aerosol and meteorological variables in the atmospheric boundary layer during a severe fog-haze event over the North China Plain. Atmospheric Chemistry and Physics. 15(8):4279-4295. https://doi.org/10.5194/acp-15-4279-2015 | Global Fire Emissions Database, Version 2.1 |
2015 | Hammerling, D.M., S.R. Kawa, K. Schaefer, S. Doney, and A.M. Michalak. 2015. Detectability of CO2flux signals by a space-based lidar mission. Journal of Geophysical Research: Atmospheres. 120(5):1794-1807. https://doi.org/10.1002/2014JD022483 | Global Fire Emissions Database, Version 3.1 |
2015 | Hatton, I.A., K.S. McCann, J.M. Fryxell, T.J. Davies, M. Smerlak, A.R.E. Sinclair, and M. Loreau. 2015. The predator-prey power law: Biomass scaling across terrestrial and aquatic biomes. Science. 349(6252):aac6284-aac6284. https://doi.org/10.1126/science.aac6284 | Biomass Allocation and Growth Data of Seeded Plants |
2015 | Huang, K., J.S. Fu, V.Y. Prikhodko, J.M. Storey, A. Romanov, E.L. Hodson, J. Cresko, I. Morozova, Y. Ignatieva, and J. Cabaniss. 2015. Russian anthropogenic black carbon: Emission reconstruction and Arctic black carbon simulation. Journal of Geophysical Research: Atmospheres. 120(21):11,306-11,333. https://doi.org/10.1002/2015JD023358 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2015 | Khan, B., G. Stenchikov, B. Weinzierl, S. Kalenderski, and S. Osipov. 2015. Dust plume formation in the free troposphere and aerosol size distribution during the Saharan Mineral Dust Experiment in North Africa. Tellus B: Chemical and Physical Meteorology. 67(1):27170. https://doi.org/10.3402/tellusb.v67.27170 | Global Fire Emissions Database, Version 2.1 |
2015 | Kondo, M., K. Ichii, H. Takagi, and M. Sasakawa. 2015. Comparison of the data-driven top-down and bottom-up global terrestrial CO2exchanges: GOSAT CO2inversion and empirical eddy flux upscaling. Journal of Geophysical Research: Biogeosciences. 120(7):1226-1245. https://doi.org/10.1002/2014JG002866 | Global Fire Emissions Database, Version 3.1 |
2015 | Liu, M., Y. Song, H. Yao, Y. Kang, M. Li, X. Huang, and M. Hu. 2015. Estimating emissions from agricultural fires in the North China Plain based on MODIS fire radiative power. Atmospheric Environment. 112:326-334. https://doi.org/10.1016/j.atmosenv.2015.04.058 | Global Fire Emissions Database, Version 3.1 |
2015 | Liu, Y., Q. Meng, J. Zhang, L. Zhang, T. Jancso, and R. Vatseva. 2015. An effective Building Neighborhood Green Index model for measuring urban green space. International Journal of Digital Earth. 9(4):387-409. https://doi.org/10.1080/17538947.2015.1037870 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2015 | Locatelli, R., P. Bousquet, M. Saunois, F. Chevallier, and C. Cressot. 2015. Sensitivity of the recent methane budget to LMDz sub-grid-scale physical parameterizations. Atmospheric Chemistry and Physics. 15(17):9765-9780. https://doi.org/10.5194/acp-15-9765-2015 | Global Fire Emissions Database, Version 3.1 |
2015 | Mao, Y.H., Q.B. Li, D.K. Henze, Z. Jiang, D.B.A. Jones, M. Kopacz, C. He, L. Qi, M. Gao, W.M. Hao, and K.N. Liou. 2015. Estimates of black carbon emissions in the western United States using the GEOS-Chem adjoint model. Atmospheric Chemistry and Physics. 15(13):7685-7702. https://doi.org/10.5194/acp-15-7685-2015 | Global Fire Emissions Database, Version 2.1 |
2015 | Marin-Guirao, L., J. Bernardeau-Esteller, J.M. Ruiz, and J.M. Sandoval-Gil. 2015. Resistance of Posidonia oceanica seagrass meadows to the spread of the introduced green alga Caulerpa cylindracea: assessment of the role of light. Biological Invasions. 17(7):1989-2009. https://doi.org/10.1007/s10530-015-0852-0 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2015 | Marlier, M.E., R. DeFries, D. Pennington, E. Nelson, E.M. Ordway, J. Lewis, S.N. Koplitz, and L.J. Mickley. 2015. Future fire emissions associated with projected land use change in Sumatra. Global Change Biology. 21(1):345-362. https://doi.org/10.1111/gcb.12691 | Global Fire Emissions Database, Version 3.1 |
2015 | Molina, L., G. Broquet, P. Imbach, F. Chevallier, B. Poulter, D. Bonal, B. Burban, M. Ramonet, L.V. Gatti, S.C. Wofsy, J.W. Munger, E. Dlugokencky, and P. Ciais. 2015. On the ability of a global atmospheric inversion to constrain variations of CO<sub>2</sub> fluxes over Amazonia. Atmospheric Chemistry and Physics. 15(14):8423-8438. https://doi.org/10.5194/acp-15-8423-2015 | Global Fire Emissions Database, Version 2.1 |
2015 | Niemeyer, B., U. Herzschuh, and L. Pestryakova. 2015. Vegetation and lake changes on the southern Taymyr peninsula, northern Siberia, during the last 300 years inferred from pollen and Pediastrum green algae records. The Holocene. 25(4):596-606. https://doi.org/10.1177/0959683614565954 | RLC Vegetative Cover of the Former Soviet Union, 1990 |
2015 | Noormets, A., D. Epron, J.C. Domec, S.G. McNulty, T. Fox, G. Sun, and J.S. King. 2015. Effects of forest management on productivity and carbon sequestration: A review and hypothesis. Forest Ecology and Management. 355:124-140. https://doi.org/10.1016/j.foreco.2015.05.019 | Global Forest Ecosystem Structure and Function Data For Carbon Balance Research |
2015 | Ott, L.E., S. Pawson, G.J. Collatz, W.W. Gregg, D. Menemenlis, H. Brix, C.S. Rousseaux, K.W. Bowman, J. Liu, A. Eldering, M.R. Gunson, and S.R. Kawa. 2015. Assessing the magnitude of CO2flux uncertainty in atmospheric CO2records using products from NASA's Carbon Monitoring Flux Pilot Project. Journal of Geophysical Research: Atmospheres. 120(2):734-765. https://doi.org/10.1002/2014JD022411 | Global Fire Emissions Database, Version 3.1 |
2015 | Pan, X., M. Chin, R. Gautam, H. Bian, D. Kim, P.R. Colarco, T.L. Diehl, T. Takemura, L. Pozzoli, K. Tsigaridis, S. Bauer, and N. Bellouin. 2015. A multi-model evaluation of aerosols over South Asia: common problems and possible causes. Atmospheric Chemistry and Physics. 15(10):5903-5928. https://doi.org/10.5194/acp-15-5903-2015 | Global Fire Emissions Database, Version 2.1 |
2015 | Peng, Z., M. Zhang, X. Kou, X. Tian, and X. Ma. 2015. A regional carbon data assimilation system and its preliminary evaluation in East Asia. Atmospheric Chemistry and Physics. 15(2):1087-1104. https://doi.org/10.5194/acp-15-1087-2015 | Global Fire Emissions Database, Version 3.1 |
2015 | Pope, R.J., M.P. Chipperfield, N.H. Savage, C. Ordonez, L.S. Neal, L.A. Lee, S.S. Dhomse, N.A.D. Richards, and T.D. Keslake. 2015. Evaluation of a regional air quality model using satellite column NO<sub>2</sub>: treatment of observation errors and model boundary conditions and emissions. Atmospheric Chemistry and Physics. 15(10):5611-5626. https://doi.org/10.5194/acp-15-5611-2015 | Global Fire Emissions Database, Version 3.1 |
2015 | Poulter, B., P. Cadule, A. Cheiney, P. Ciais, E. Hodson, P. Peylin, S. Plummer, A. Spessa, S. Saatchi, C. Yue, and N.E. Zimmermann. 2015. Sensitivity of global terrestrial carbon cycle dynamics to variability in satellite-observed burned area. Global Biogeochemical Cycles. 29(2):207-222. https://doi.org/10.1002/2013GB004655 | Global Fire Emissions Database, Version 3.1 |
2015 | Rap, A., N.A.D. Richards, P.M. Forster, S.A. Monks, S.R. Arnold, and M.P. Chipperfield. 2015. Satellite constraint on the tropospheric ozone radiative effect. Geophysical Research Letters. 42(12):5074-5081. https://doi.org/10.1002/2015GL064037 | Global Fire Emissions Database, Version 2.1 |
2015 | Wang, M., B. Xu, S.D. Kaspari, G. Gleixner, V.F. Schwab, H. Zhao, H. Wang, and P. Yao. 2015. Century-long record of black carbon in an ice core from the Eastern Pamirs: Estimated contributions from biomass burning. Atmospheric Environment. 115:79-88. https://doi.org/10.1016/j.atmosenv.2015.05.034 | Global Fire Emissions Database, Version 2.1 |
2015 | de Moura, Y.M., T. Hilker, A.I. Lyapustin, L.S. Galvao, J.R. dos Santos, L.O. Anderson, C.H.R. de Sousa, and E. Arai. 2015. Seasonality and drought effects of Amazonian forests observed from multi-angle satellite data. Remote Sensing of Environment. 171:278-290. https://doi.org/10.1016/j.rse.2015.10.015 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2015 | van der Laan-Luijkx, I.T., I.R. van der Velde, M.C. Krol, L.V. Gatti, L.G. Domingues, C.S.C. Correia, J.B. Miller, M. Gloor, T.T. van Leeuwen, J.W. Kaiser, C. Wiedinmyer, S. Basu, C. Clerbaux, and W. Peters. 2015. Response of the Amazon carbon balance to the 2010 drought derived with CarbonTracker South America. Global Biogeochemical Cycles. 29(7):1092-1108. https://doi.org/10.1002/2014GB005082 | Global Fire Emissions Database, Version 4.1 (GFEDv4) |
2014 | Bevan, S.L., S.O. Los, and P.R.J. North. 2014. Response of vegetation to the 2003 European drought was mitigated by height. Biogeosciences. 11(11):2897-2908. https://doi.org/10.5194/bg-11-2897-2014 | Global Distribution of Root Profiles in Terrestrial Ecosystems |
2014 | Bows, A. and J. Barrett. 2014. Cumulative emission scenarios using a consumption-based approach: a glimmer of hope?. Carbon Management. 1(1):161-175. https://doi.org/10.4155/cmt.10.17 | Global Fire Emissions Database, Version 3.1 |
2014 | Bradford, J.B., D.R. Schlaepfer, W.K. Lauenroth, and I.C. Burke. 2014. Shifts in plant functional types have time-dependent and regionally variable impacts on dryland ecosystem water balance. Journal of Ecology. 102(6):1408-1418. https://doi.org/10.1111/1365-2745.12289 | Global Distribution of Root Profiles in Terrestrial Ecosystems |
2014 | Diaz Isaac, L.I., T. Lauvaux, K.J. Davis, N.L. Miles, S.J. Richardson, A.R. Jacobson, and A.E. Andrews. 2014. Model-data comparison of MCI field campaign atmospheric CO2mole fractions. Journal of Geophysical Research: Atmospheres. 119(17):10536-10551. https://doi.org/10.1002/2014JD021593 | Global Fire Emissions Database, Version 2 (GFEDv2) |
2014 | Gao, Y. and M. Zhang. 2014. Modeling study on seasonal variation in aerosol extinction properties over China. Journal of Environmental Sciences. 26(1):97-109. https://doi.org/10.1016/S1001-0742(13)60385-X | Global Fire Emissions Database, Version 2.1 |
2014 | Gao, Y., C. Zhao, X. Liu, M. Zhang, and L.R. Leung. 2014. WRF-Chem simulations of aerosols and anthropogenic aerosol radiative forcing in East Asia. Atmospheric Environment. 92:250-266. https://doi.org/10.1016/j.atmosenv.2014.04.038 | Global Fire Emissions Database, Version 2.1 |
2014 | Gu, D., Y. Wang, C. Smeltzer, and K.F. Boersma. 2014. Anthropogenic emissions of NOxover China: Reconciling the difference of inverse modeling results using GOME-2 and OMI measurements. Journal of Geophysical Research: Atmospheres. 119(12):7732-7740. https://doi.org/10.1002/2014JD021644 | Global Fire Emissions Database, Version 2.1 |
2014 | Han, X., M. Zhang, J. Gao, S. Wang, and F. Chai. 2014. Modeling analysis of the seasonal characteristics of haze formation in Beijing. Atmospheric Chemistry and Physics. 14(18):10231-10248. https://doi.org/10.5194/acp-14-10231-2014 | Global Fire Emissions Database, Version 2.1 |
2014 | Lauenroth, W.K., D.R. Schlaepfer, and J.B. Bradford. 2014. Ecohydrology of Dry Regions: Storage versus Pulse Soil Water Dynamics. Ecosystems. 17(8):1469-1479. https://doi.org/10.1007/s10021-014-9808-y | Global Distribution of Root Profiles in Terrestrial Ecosystems |
2014 | Mao, Y.H., Q.B. Li, D. Chen, L. Zhang, W.M. Hao, and K.N. Liou. 2014. Top-down estimates of biomass burning emissions of black carbon in the Western United States. Atmospheric Chemistry and Physics. 14(14):7195-7211. https://doi.org/10.5194/acp-14-7195-2014 | Global Fire Emissions Database, Version 2.1 |
2014 | Safronov, A., E. Fokeeva, V. Rakitin, E. Grechko, and R. Shumsky. 2014. Severe Wildfires Near Moscow, Russia in 2010: Modeling of Carbon Monoxide Pollution and Comparisons with Observations. Remote Sensing. 7(1):395-429. https://doi.org/10.3390/rs70100395 | RLC Forest Stand Carbon Map of Russia |
2014 | Smithwick, E.A.H., M.S. Lucash, M.L. McCormack, and G. Sivandran. 2014. Improving the representation of roots in terrestrial models. Ecological Modelling. 291:193-204. https://doi.org/10.1016/j.ecolmodel.2014.07.023 | Global Distribution of Root Nutrient Concentrations in Terrestrial Ecosystems |
2014 | Tang, G., T. Hwang, and S.M. Pradhanang. 2014. Does consideration of water routing affect simulated water and carbon dynamics in terrestrial ecosystems?. Hydrology and Earth System Sciences. 18(4):1423-1437. https://doi.org/10.5194/hess-18-1423-2014 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2014 | Ursino, N. 2014. Eco-hydrology driven fire regime in savanna. Journal of Theoretical Biology. 355:68-76. https://doi.org/10.1016/j.jtbi.2014.04.002 | Characteristics of African Savanna Biomes for Determining Woody Cover |
2014 | Walker, A.P., A.P. Beckerman, L. Gu, J. Kattge, L.A. Cernusak, T.F. Domingues, J.C. Scales, G. Wohlfahrt, S.D. Wullschleger, and F.I. Woodward. 2014. The relationship of leaf photosynthetic traits - V cmax and J max - to leaf nitrogen, leaf phosphorus, and specific leaf area: a meta-analysis and modeling study. Ecology and Evolution. 4(16):3218-3235. https://doi.org/10.1002/ece3.1173 | A Global Data Set of Leaf Photosynthetic Rates, Leaf N and P, and Specific Leaf Area |
2014 | Wang, Meng; Murphy, MeaghanT and Moore, TimR. (2014) Nutrient resorption of two evergreen shrubs in response to long-term fertilization in a bog. Oecologia. 174(2): 365-377. https://doi.org/10.1007/s00442-013-2784-7 | A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves |
2014 | Wang, R., S. Tao, H. Shen, Y. Huang, H. Chen, Y. Balkanski, O. Boucher, P. Ciais, G. Shen, W. Li, Y. Zhang, Y. Chen, N. Lin, S. Su, B. Li, J. Liu, and W. Liu. 2014. Trend in Global Black Carbon Emissions from 1960 to 2007. Environmental Science & Technology. 48(12):6780-6787. https://doi.org/10.1021/es5021422 | Global Fire Emissions Database, Version 3.1 |
2014 | Ward, R.M. and R. Choudhary. 2014. A bottom-up energy analysis across a diverse urban building portfolio: retrofits for the buildings at the Royal Botanic Gardens, Kew, UK. Building and Environment. 74:132-148. https://doi.org/10.1016/j.buildenv.2013.12.018 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2014 | Wu, L., X.y. Ma, and X. Liu. 2014. Assessment of Herbicide Transport and Distribution in Subsurface Environments of an Orange Field. Water Environment Research. 86(8):729-740. https://doi.org/10.2175/106143014X13975035525861 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2014 | Zhang, H.F., B.Z. Chen, I.T. van der Laan-Luijk, T. Machida, H. Matsueda, Y. Sawa, Y. Fukuyama, R. Langenfelds, M. van der Schoot, G. Xu, J.W. Yan, M.L. Cheng, L.X. Zhou, P.P. Tans, and W. Peters. 2014. Estimating Asian terrestrial carbon fluxes from CONTRAIL aircraft and surface CO<sub>2</sub> observations for the period 2006–2010. Atmospheric Chemistry and Physics. 14(11):5807-5824. https://doi.org/10.5194/acp-14-5807-2014 | Global Fire Emissions Database, Version 2 (GFEDv2) |
2013 | Al Razi K.M.H., Moritomi, Hiroshi. (2013). Numerical simulation for regional ozone concentrations: A case study by weather research and forecasting/chemistry (WRF/Chem) model. International Journal of Energy and Environment. 4 (6): 933-954. | Global Fire Emissions Database, Version 2.1 |
2013 | Al Razi K.M.H., Moritomi, Hiroshi. (2013). Numerical simulation for regional ozone concentrations: A case study by weather research and forecasting/chemistry (WRF/Chem) model. International Journal of Energy and Environment. 4 (6): 933-954. | Global Fire Emissions Database, Version 3.1 |
2013 | Al Razi, K. M. H., & Hiroshi, M.; (2013). Numerical simulation for regional ozone concentrations: A case study by weather research and forecasting/chemistry (WRF/Chem) model. International Journal of Energy and Environment. 4 (6): 933-954. | Global Fire Emissions Database, Version 2.1 |
2013 | Cornelissen, T., B. Diekkruger, and S. Giertz. 2013. A comparison of hydrological models for assessing the impact of land use and climate change on discharge in a tropical catchment. Journal of Hydrology. 498:221-236. https://doi.org/10.1016/j.jhydrol.2013.06.016 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2013 | Drastig K., Kraatz, S, Libra, J, Prochnow, A, Hunstock, U.; (2013) Implementation of hydrological processes and agricultural management options into the ATB-Modeling Database to improve the water productivity at farm scale. Agronomy Research. 11 (1): 31-38. | Global Leaf Area Index from Field Measurements, 1932-2000 |
2013 | Gu, D., Y. Wang, C. Smeltzer, and Z. Liu. 2013. Reduction in NOx Emission Trends over China: Regional and Seasonal Variations. Environmental Science & Technology. 47(22):12912-12919. https://doi.org/10.1021/es401727e | Global Fire Emissions Database, Version 2.1 |
2013 | Han, X., M. Zhang, J. Gao, S. Wang, and F. Chai. 2013. Modeling analysis of the seasonal characteristics of haze formation in Beijing. Atmospheric Chemistry and Physics Discussions. 13(11):30575-30610. https://doi.org/10.5194/acpd-13-30575-2013 | Global Fire Emissions Database, Version 2.1 |
2013 | Han, X., M. Zhang, J. Tao, L. Wang, J. Gao, S. Wang, and F. Chai. 2013. Modeling aerosol impacts on atmospheric visibility in Beijing with RAMS-CMAQ. Atmospheric Environment. 72:177-191. https://doi.org/10.1016/j.atmosenv.2013.02.030 | Global Fire Emissions Database, Version 2.1 |
2013 | Kato, E., T. Kinoshita, A. Ito, M. Kawamiya, and Y. Yamagata. 2013. Evaluation of spatially explicit emission scenario of land-use change and biomass burning using a process-based biogeochemical model. Journal of Land Use Science. 8(1):104-122. https://doi.org/10.1080/1747423X.2011.628705 | Global Fire Emissions Database, Version 2.1 |
2013 | Livesey, N.J., J.A. Logan, M.L. Santee, J.W. Waters, R.M. Doherty, W.G. Read, L. Froidevaux, and J.H. Jiang. 2013. Interrelated variations of O<sub>3</sub>, CO and deep convection in the tropical/subtropical upper troposphere observed by the Aura Microwave Limb Sounder (MLS) during 2004-2011. Atmospheric Chemistry and Physics. 13(2):579-598. https://doi.org/10.5194/acp-13-579-2013 | Global Fire Emissions Database, Version 2.1 |
2013 | Nikodem, A., R. Kodesova, and L. Bubenickova. 2013. Simulation of the influence of rainfall redistribution in spruce and beech forest on the leaching of Al and SO4 2- from forest soils. Journal of Hydrology and Hydromechanics. 61(1):39-49. https://doi.org/10.2478/johh-2013-0006 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2013 | Pastorella, F. and A. Paletto. 2013. Forest canopy analysis in the Alpine environment: comparison among assessment methods. Forest@ - Rivista di Selvicoltura ed Ecologia Forestale. 10(2):43-54. https://doi.org/10.3832/efor0974-010 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2013 | Percival, C.J., O. Welz, A.J. Eskola, J.D. Savee, D.L. Osborn, D.O. Topping, D. Lowe, S.R. Utembe, A. Bacak, G. McFiggans, M.C. Cooke, P. Xiao, A.T. Archibald+, M.E. Jenkin, R.G. Derwent, I. Riipinen, D.W.K. Mok, E.P.F. Lee, J.M. Dyke, C.A. Taatjes, and D.E. Shallcross. 2013. Regional and global impacts of Criegee intermediates on atmospheric sulphuric acid concentrations and first steps of aerosol formation. Faraday Discussions. 165:45. https://doi.org/10.1039/C3FD00048F | Global Fire Emissions Database, Version 2.1 |
2013 | Richards, N.A.D., S.R. Arnold, M.P. Chipperfield, G. Miles, A. Rap, R. Siddans, S.A. Monks, and M.J. Hollaway. 2013. The Mediterranean summertime ozone maximum: global emission sensitivities and radiative impacts. Atmospheric Chemistry and Physics. 13(5):2331-2345. https://doi.org/10.5194/acp-13-2331-2013 | Global Fire Emissions Database, Version 2.1 |
2013 | Smith, M.J., D.W. Purves, M.C. Vanderwel, V. Lyutsarev, and S. Emmott. 2013. The climate dependence of the terrestrial carbon cycle, including parameter and structural uncertainties. Biogeosciences. 10(1):583-606. https://doi.org/10.5194/bg-10-583-2013 | Global Vegetation Types, 1971-1982 (Matthews) |
2013 | Wang, M., M.T. Murphy, and T.R. Moore. 2013. Nutrient resorption of two evergreen shrubs in response to long-term fertilization in a bog. Oecologia. 174(2):365-377. https://doi.org/10.1007/s00442-013-2784-7 | A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves |
2013 | Wu, J., J. Guo, and D. Zhao. 2013. Characteristics of aerosol transport and distribution in East Asia. Atmospheric Research. 132-133:185-198. https://doi.org/10.1016/j.atmosres.2013.05.018 | Global Fire Emissions Database, Version 2.1 |
2013 | Wu, J., J. Guo, and D. Zhao. 2013. Characteristics of aerosol transport and distribution in East Asia. Atmospheric Research. 132-133:185-198. https://doi.org/10.1016/j.atmosres.2013.05.018 | Global Fire Emissions Database, Version 3.1 |
2013 | Wu, L., H. Su, and J.H. Jiang. 2013. Regional simulation of aerosol impacts on precipitation during the East Asian summer monsoon. Journal of Geophysical Research: Atmospheres. 118(12):6454-6467. https://doi.org/10.1002/jgrd.50527 | Global Fire Emissions Database, Version 2.1 |
2013 | Wu, L., X.y. Ma, H.l. Peng, J. Wang, and J.x. Wen. 2013. Herbicide distribution and transport in subsurface environment of a tomato field in the Three Gorges Reservoir area, China. International Journal of Environmental Studies. 70(4):637-654. https://doi.org/10.1080/00207233.2013.836860 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2012 | Allen, M., D. Erickson, W. Kendall, J. Fu, L. Ott, and S. Pawson. 2012. The influence of internal model variability in GEOS-5 on interhemispheric CO2exchange. Journal of Geophysical Research: Atmospheres. 117(D10):n/a-n/a. https://doi.org/10.1029/2011JD017059 | Global Fire Emissions Database, Version 2.1 |
2012 | Auby, A. (2012). Modélisation à haute résolution du transport de polluants à longue distance. Sciences de lÍ Environnement, Universitè Pierre et Marie Curie-Paris VI, Paris. | Global Fire Emissions Database, Version 2.1 |
2012 | Auby, A. (2012). Modélisation à haute résolution du transport de polluants à longue distance. Sciences de lÍ Environnement, Universitè Pierre et Marie Curie-Paris VI, Paris. | Global Fire Emissions Database, Version 3.1 |
2012 | Chatterjee, A., A.M. Michalak, J.L. Anderson, K.L. Mueller, and V. Yadav. 2012. Toward reliable ensemble Kalman filter estimates of CO2fluxes. Journal of Geophysical Research: Atmospheres. 117(D22):n/a-n/a. https://doi.org/10.1029/2012JD018176 | Global Fire Emissions Database, Version 2.1 |
2012 | Deeter, M.N., H.M. Worden, D.P. Edwards, J.C. Gille, and A.E. Andrews. 2012. Evaluation of MOPITT retrievals of lower-tropospheric carbon monoxide over the United States. Journal of Geophysical Research: Atmospheres. 117(D13):n/a-n/a. https://doi.org/10.1029/2012JD017553 | Global Fire Emissions Database, Version 2.1 |
2012 | Diehl, T., A. Heil, M. Chin, X. Pan, D. Streets, M. Schultz, and S. Kinne. 2012. Anthropogenic, biomass burning, and volcanic emissions of black carbon, organic carbon, and SO<sub>2</sub> from 1980 to 2010 for hindcast model experiments. Atmospheric Chemistry and Physics Discussions. 12(9):24895-24954. https://doi.org/10.5194/acpd-12-24895-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | Donzelli, D.; (2012). Ecohydrological Modelling Of Soil Water And Nutrients Dynamics In Tropical And Subtropical Biomes. Hydraulics Engineering, Politecnico di Milano, Milan.http://hdl.handle.net/10589/56735 | Global Vegetation Types, 1971-1982 (Matthews) |
2012 | Fu, J.S., X. Dong, Y. Gao, D.C. Wong, and Y.F. Lam. 2012. Sensitivity and linearity analysis of ozone in East Asia: The effects of domestic emission and intercontinental transport. Journal of the Air & Waste Management Association. 62(9):1102-1114. https://doi.org/10.1080/10962247.2012.699014 | Global Fire Emissions Database, Version 2.1 |
2012 | Gao, Y., Zhang, M.-G., Liu, X.-H., & Zhao, C. ;(2012). Model Analysis of the Anthropogenic Aerosol Effect on Clouds over East Asia. Atmospheric and Oceanic Science Letters. 5 (1): 41281. | Global Fire Emissions Database, Version 2.1 |
2012 | Gao, Y., Zhang, M.-G., Liu, X.-H., & Zhao, C. ;(2012). Model Analysis of the Anthropogenic Aerosol Effect on Clouds over East Asia. Atmospheric and Oceanic Science Letters. 5 (1): 41281. | Global Fire Emissions Database, Version 3.1 |
2012 | Gong, S.L., D. Lavoue, T.L. Zhao, P. Huang, and J.W. Kaminski. 2012. GEM-AQ/EC, an on-line global multiscale chemical weather modelling system: model development and evaluations of global aerosol climatology. Atmospheric Chemistry and Physics Discussions. 12(4):9283-9330. https://doi.org/10.5194/acpd-12-9283-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | He, L., J.M. Chen, Y. Pan, R. Birdsey, and J. Kattge. 2012. Relationships between net primary productivity and forest stand age in U.S. forests. Global Biogeochemical Cycles. 26(3):. https://doi.org/10.1029/2010GB003942 | Literature-Derived Parameters for the BIOME-BGC Terrestrial Ecosystem Model |
2012 | Hollaway, M.J., S.R. Arnold, A.J. Challinor, and L.D. Emberson. 2012. Intercontinental trans-boundary contributions to ozone-induced crop yield losses in the Northern Hemisphere. Biogeosciences. 9(1):271-292. https://doi.org/10.5194/bg-9-271-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | Hudiburg, T. W.; (2012). Analysis of the regional carbon balance of Pacific Northwest forests under changing climate, disturbance, and management for bioenergy. Forestry Science, Oregon State University, Corvalis.http://hdl.handle.net/1957/30727 | Global Fire Emissions Database, Version 2.1 |
2012 | Hudman, R.C., N.E. Moore, A.K. Mebust, R.V. Martin, A.R. Russell, L.C. Valin, and R.C. Cohen. 2012. Steps towards a mechanistic model of global soil nitric oxide emissions: implementation and space based-constraints. Atmospheric Chemistry and Physics. 12(16):7779-7795. https://doi.org/10.5194/acp-12-7779-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | ICP-Vegetation. (2012). Ozone Pollution: Impacts on carbon sequestration in Europe (No. None). Bangor, UK: Centre for Ecology & Hydrology, Environment Centre Wales. | Global Fire Emissions Database, Version 2.1 |
2012 | ICP-Vegetation. (2012). Ozone Pollution: Impacts on carbon sequestration in Europe (No. None). Bangor, UK: Centre for Ecology & Hydrology, Environment Centre Wales. | Global Fire Emissions Database, Version 3.1 |
2012 | Kawamura, K., Y. Izawa, M. Mochida, and T. Shiraiwa. 2012. Ice core records of biomass burning tracers (levoglucosan and dehydroabietic, vanillic and p-hydroxybenzoic acids) and total organic carbon for past 300years in the Kamchatka Peninsula, Northeast Asia. Geochimica et Cosmochimica Acta. 99:317-329. https://doi.org/10.1016/j.gca.2012.08.006 | Global Fire Emissions Database, Version 2.1 |
2012 | Klonecki, A., M. Pommier, C. Clerbaux, G. Ancellet, J.P. Cammas, P.F. Coheur, A. Cozic, G.S. Diskin, J. Hadji-Lazaro, D.A. Hauglustaine, D. Hurtmans, B. Khattatov, J.F. Lamarque, K.S. Law, P. Nedelec, J.D. Paris, J.R. Podolske, P. Prunet, H. Schlager, S. Szopa, and S. Turquety. 2012. Assimilation of IASI satellite CO fields into a global chemistry transport model for validation against aircraft measurements. Atmospheric Chemistry and Physics. 12(10):4493-4512. https://doi.org/10.5194/acp-12-4493-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | Liu, Z.; (2012). Characterizing the photochemical environment over china. Earth and Atmospheric Sciences, Georgia Institute of Technology.http://hdl.handle.net/1853/43668 | Global Fire Emissions Database, Version 2.1 |
2012 | Lund, M.T. and T. Berntsen. 2012. Parameterization of black carbon aging in the OsloCTM2 and implications for regional transport to the Arctic. Atmospheric Chemistry and Physics. 12(15):6999-7014. https://doi.org/10.5194/acp-12-6999-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | Ma, X., F. Yu, and G. Luo. 2012. Aerosol direct radiative forcing based on GEOS-Chem-APM and uncertainties. Atmospheric Chemistry and Physics Discussions. 12(1):193-240. https://doi.org/10.5194/acpd-12-193-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | Messerschmidt, J., N. Parazoo, N.M. Deutscher, C. Roehl, T. Warneke, P.O. Wennberg, and D. Wunch. 2012. Evaluation of atmosphere-biosphere exchange estimations with TCCON measurements. Atmospheric Chemistry and Physics Discussions. 12(5):12759-12800. https://doi.org/10.5194/acpd-12-12759-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | Miyazaki, K., H.J. Eskes, K. Sudo, M. Takigawa, M. van Weele, and K.F. Boersma. 2012. Simultaneous assimilation of satellite NO<sub>2</sub>, O<sub>3</sub>, CO, and HNO<sub>3</sub> data for the analysis of tropospheric chemical composition and emissions. Atmospheric Chemistry and Physics. 12(20):9545-9579. https://doi.org/10.5194/acp-12-9545-2012 | Global Fire Emissions Database, Version 2 (GFEDv2) |
2012 | Onishi, T., H. Mitsudera, and K. Uchimoto. 2012. Numerical Simulation of Dissolved Iron Production and Transport in the Amur River and the Sea of Okhotsk. 87-105. https://doi.org/10.1007/978-4-431-54035-9_9 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2012 | Paulot, F., D.K. Henze, and P.O. Wennberg. 2012. Impact of the isoprene photochemical cascade on tropical ozone. Atmospheric Chemistry and Physics. 12(3):1307-1325. https://doi.org/10.5194/acp-12-1307-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | Poorter, H., K.J. Niklas, P.B. Reich, J. Oleksyn, P. Poot, and L. Mommer. 2012. Biomass allocation to leaves, stems and roots: meta-analyses of interspecific variation and environmental control. New Phytologist. 193(1):30-50. https://doi.org/10.1111/j.1469-8137.2011.03952.x | Biomass Allocation and Growth Data of Seeded Plants |
2012 | Prochnow, A., K. Drastig, H. Klauss, and W. Berg. 2012. Water use indicators at farm scale: methodology and case study. Food and Energy Security. 1(1):29-46. https://doi.org/10.1002/fes3.6 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2012 | Randerson, J.T., Y. Chen, G.R. van der Werf, B.M. Rogers, and D.C. Morton. 2012. Global burned area and biomass burning emissions from small fires. Journal of Geophysical Research: Biogeosciences. 117(G4):n/a-n/a. https://doi.org/10.1029/2012JG002128 | Global Fire Emissions Database, Version 3.1 |
2012 | Read, K.A., L.J. Carpenter, S.R. Arnold, R. Beale, P.D. Nightingale, J.R. Hopkins, A.C. Lewis, J.D. Lee, L. Mendes, and S.J. Pickering. 2012. Multiannual Observations of Acetone, Methanol, and Acetaldehyde in Remote Tropical Atlantic Air: Implications for Atmospheric OVOC Budgets and Oxidative Capacity. Environmental Science & Technology. 46(20):11028-11039. https://doi.org/10.1021/es302082p | Global Fire Emissions Database, Version 2.1 |
2012 | Richards, N.A.D., S.R. Arnold, M.P. Chipperfield, G. Miles, A. Rap, R. Siddans, S.A. Monks, and M.J. Hollaway. 2012. Source attribution and radiative impacts of the Mediterranean summertime ozone maximum: a satellite and model perspective. Atmospheric Chemistry and Physics Discussions. 12(10):27219-27254. https://doi.org/10.5194/acpd-12-27219-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | Simpson, I.J., M.P. Sulbaek Andersen, S. Meinardi, L. Bruhwiler, N.J. Blake, D. Helmig, F.S. Rowland, and D.R. Blake. 2012. Long-term decline of global atmospheric ethane concentrations and implications for methane. Nature. 488(7412):490-494. https://doi.org/10.1038/nature11342 | Global Fire Emissions Database, Version 2.1 |
2012 | Tai, A.P.K., L.J. Mickley, D.J. Jacob, E.M. Leibensperger, L. Zhang, J.A. Fisher, and H.O.T. Pye. 2012. Meteorological modes of variability for fine particulate matter (PM<sub>2.5</sub>) air quality in the United States: implications for PM<sub>2.5</sub> sensitivity to climate change. Atmospheric Chemistry and Physics. 12(6):3131-3145. https://doi.org/10.5194/acp-12-3131-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | Tang, G. and P.J. Bartlein. 2012. Modifying a dynamic global vegetation model for simulating large spatial scale land surface water balances. Hydrology and Earth System Sciences. 16(8):2547-2565. https://doi.org/10.5194/hess-16-2547-2012 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2012 | Tangborn, A., L.L. Strow, B. Imbiriba, L. Ott, and S. Pawson. 2012. Evaluation of a new middle-lower tropospheric CO2 product using data assimilation. Atmospheric Chemistry and Physics Discussions. 12(10):26685-26717. https://doi.org/10.5194/acpd-12-26685-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | Ten Hoeve, J.E., M.Z. Jacobson, and L.A. Remer. 2012. Comparing results from a physical model with satellite and in situ observations to determine whether biomass burning aerosols over the Amazon brighten or burn off clouds. Journal of Geophysical Research: Atmospheres. 117(D8):n/a-n/a. https://doi.org/10.1029/2011JD016856 | Global Fire Emissions Database, Version 2.1 |
2012 | Tsao, C.C., J.E. Campbell, M. Mena-Carrasco, S.N. Spak, G.R. Carmichael, and Y. Chen. 2012. Biofuels That Cause Land-Use Change May Have Much Larger Non-GHG Air Quality Emissions Than Fossil Fuels. Environmental Science & Technology. 46(19):10835-10841. https://doi.org/10.1021/es301851x | Global Fire Emissions Database, Version 2.1 |
2012 | Universidade de Aveiro, Departamento de Ambiente e Ordenamento (2012) Characteristics of gas and particle emissions from wildfires.Dissertação apresentada à Universidade de Aveiro para cumprimento dos requisitos necessários à obtenção do grau de Doutor em Ciências e Engenharia do Ambiente.. http://ria.ua.pt/bitstream/10773/10424/1/tese.pdf | Global Fire Emissions Database, Version 2 (GFEDv2) |
2012 | Waldegren, L. T. (2012). Carbon Credits: Origins, Effectiveness & Future. Environmental and Energy Systems Studies, Lund University, Lund, Sweden. | Global Fire Emissions Database, Version 2.1 |
2012 | Waldegren, L. T. (2012). Carbon Credits: Origins, Effectiveness & Future. Environmental and Energy Systems Studies, Lund University, Lund, Sweden. | Global Fire Emissions Database, Version 3.1 |
2012 | Wen, D., J.C. Lin, L. Zhang, R. Vet, and M.D. Moran. 2012. Modeling atmospheric ammonia and ammonium using a backward-in-time stochastic Lagrangian air quality model (STILT-Chem v0.7). Geoscientific Model Development Discussions. 5(3):2745-2788. https://doi.org/10.5194/gmdd-5-2745-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | Whitesides, C.J. and M.H. Connolly. 2012. Estimating Fractional Snow Cover in Mountain Environments with Fuzzy Classification. International Journal of Applied Geospatial Research. 3(3):1-20. https://doi.org/10.4018/jagr.2012070101 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2012 | Williams, J.E., A. Strunk, V. Huijnen, and M. van Weele. 2012. The application of the Modified Band Approach for the calculation of on-line photodissociation rate constants in TM5: implications for oxidative capacity. Geoscientific Model Development. 5(1):15-35. https://doi.org/10.5194/gmd-5-15-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | Zhang, Y., H. Liu, J.H. Crawford, D.B. Considine, C. Chan, S.J. Oltmans, and V. Thouret. 2012. Distribution, variability and sources of tropospheric ozone over south China in spring: Intensive ozonesonde measurements at five locations and modeling analysis. Journal of Geophysical Research: Atmospheres. 117(D12):n/a-n/a. https://doi.org/10.1029/2012JD017498 | Global Fire Emissions Database, Version 2.1 |
2012 | Zhang, Y., P. Karamchandani, T. Glotfelty, D.G. Streets, G. Grell, A. Nenes, F. Yu, and R. Bennartz. 2012. Development and initial application of the global-through-urban weather research and forecasting model with chemistry (GU-WRF/Chem). Journal of Geophysical Research: Atmospheres. 117(D20):. https://doi.org/10.1029/2012JD017966 | Global Fire Emissions Database, Version 2.1 |
2012 | Zhu, W., H. Tian, X. Xu, Y. Pan, G. Chen, and W. Lin. 2012. Extension of the growing season due to delayed autumn over mid and high latitudes in North America during 1982-2006. Global Ecology and Biogeography. 21(2):260-271. https://doi.org/10.1111/j.1466-8238.2011.00675.x | Phenoregions For Monitoring Vegetation Responses to Climate Change |
2012 | Zyryanov, D., G. Foret, M. Eremenko, M. Beekmann, J.P. Cammas, M. D'Isidoro, H. Elbern, J. Flemming, E. Friese, I. Kioutsioutkis, A. Maurizi, D. Melas, F. Meleux, L. Menut, P. Moinat, V.H. Peuch, A. Poupkou, M. Razinger, M. Schultz, O. Stein, A.M. Suttie, A. Valdebenito, C. Zerefos, G. Dufour, G. Bergametti, and J.M. Flaud. 2012. 3-D evaluation of tropospheric ozone simulations by an ensemble of regional Chemistry Transport Model. Atmospheric Chemistry and Physics. 12(7):3219-3240. https://doi.org/10.5194/acp-12-3219-2012 | Global Fire Emissions Database, Version 2.1 |
2012 | de Laat, A.T.J., R. Dijkstra, H. Schrijver, P. Nedelec, and I. Aben. 2012. Validation of six years of SCIAMACHY carbon monoxide observations using MOZAIC CO profile measurements. Atmospheric Measurement Techniques. 5(9):2133-2142. https://doi.org/10.5194/amt-5-2133-2012 | Global Fire Emissions Database, Version 2.1 |
2011 | Aan de Brugh, J.M.J., M. Schaap, E. Vignati, F. Dentener, M. Kahnert, M. Sofiev, V. Huijnen, and M.C. Krol. 2011. The European aerosol budget in 2006. Atmospheric Chemistry and Physics. 11(3):1117-1139. https://doi.org/10.5194/acp-11-1117-2011 | Global Fire Emissions Database, Version 2 (GFEDv2) |
2011 | Allen, M.R.; (2011). The Effects of Varying Physical Parameterizations and Initial Conditions on Tracer Transport in the National Aeronautics and Space Administration Goddard Earth Observation System Model, Version 5. M.S. Environmental Engineering.http://trace.tennessee.edu/utk_gradthes/946 | Global Fire Emissions Database, Version 2.1 |
2011 | Calderhead, A.I., R. Martel, J. Garfias, A. Rivera, and R. Therrien. 2011. Pumping dry: an increasing groundwater budget deficit induced by urbanization, industrialization, and climate change in an over-exploited volcanic aquifer. Environmental Earth Sciences. 66(7):1753-1767. https://doi.org/10.1007/s12665-011-1398-9 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2011 | Calvao, T. and J.M. Palmeirim. 2011. A comparative evaluation of spectral vegetation indices for the estimation of biophysical characteristics of Mediterranean semi-deciduous shrub communities. International Journal of Remote Sensing. 32(8):2275-2296. https://doi.org/10.1080/01431161003698245 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2011 | Chidumayo, E.; (2011). Climate change and the woodlands of Africa. Climate Change and African Forest and Wildlife Resources. 11 (0): 135-150.http://www.sifi.se/wp-content/uploads/2011/11/Climate-Change-Africa.pdf | Characteristics of African Savanna Biomes for Determining Woody Cover |
2011 | Delegido, J., J. Verrelst, L. Alonso, and J. Moreno. 2011. Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content. Sensors. 11(7):7063-7081. https://doi.org/10.3390/s110707063 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2011 | Deng, F. and J.M. Chen. 2011. Recent global CO2 flux inferred from atmospheric CO2 observations and its regional analyses. Biogeosciences Discussions. 8(2):3497-3536. https://doi.org/10.5194/bgd-8-3497-2011 | Global Fire Emissions Database, Version 2.1 |
2011 | Deng, F.; (2011). Global CO2 Flux Inferred From Atmospheric Observations and Its Response to Climate Variabilities. Geography. Ph.D.http://hdl.handle.net/1807/29702 | Global Fire Emissions Database, Version 2.1 |
2011 | Fokeeva, E.V., A.N. Safronov, V.S. Rakitin, L.N. Yurganov, E.I. Grechko, and R.A. Shumskii. 2011. Investigation of the 2010 July-August fires impact on carbon monoxide atmospheric pollution in Moscow and its outskirts, estimating of emissions. Izvestiya, Atmospheric and Oceanic Physics. 47(6):682-698. https://doi.org/10.1134/S0001433811060041 | RLC Vegetative Cover of the Former Soviet Union, 1990 |
2011 | Gao, Y., X. Liu, C. Zhao, and M. Zhang. 2011. Emission controls versus meteorological conditions in determining aerosol concentrations in Beijing during the 2008 Olympic Games. Atmospheric Chemistry and Physics. 11(23):12437-12451. https://doi.org/10.5194/acp-11-12437-2011 | Global Fire Emissions Database, Version 2.1 |
2011 | HU Bo,,SUN Rui,CHEN Yong-jun,FENG Li-chao,SUN Liang; (2011). Estimation of the Net Ecosystem Productivity in Huang-Huai Hai Region Combining with Biome-BGC Model and Remote Sensing Data. Journal of Natural Resources. | SiB3 Modeled Global 1-degree Hourly Biosphere-Atmosphere Carbon Flux, 1998-2006 |
2011 | Hayes, D.J., A.D. McGuire, D.W. Kicklighter, K.R. Gurney, T.J. Burnside, and J.M. Melillo. 2011. Is the northern high-latitude land-based CO2sink weakening?. Global Biogeochemical Cycles. 25(3):n/a-n/a. https://doi.org/10.1029/2010GB003813 | Global Fire Emissions Database, Version 2.1 |
2011 | Huang, L., R. Fu, J.H. Jiang, J.S. Wright, and M. Luo. 2011. Geographic and seasonal distributions of CO transport pathways and their roles in determining CO centers in the upper troposphere. Atmospheric Chemistry and Physics Discussions. 11(12):32423-32453. https://doi.org/10.5194/acpd-11-32423-2011 | Global Fire Emissions Database, Version 2.1 |
2011 | Huang, L., R. Fu, J.H. Jiang, J.S. Wright, and M. Luo. 2011. Geographic and seasonal distributions of CO transport pathways and their roles in determining CO centers in the upper troposphere. Atmospheric Chemistry and Physics Discussions. 11(12):32423-32453. https://doi.org/10.5194/acpd-11-32423-2011 | Global Fire Emissions Database, Version 3.1 |
2011 | Jarvis, N.J. 2011. Simple physics-based models of compensatory plant water uptake: concepts and eco-hydrological consequences. Hydrology and Earth System Sciences Discussions. 8(4):6789-6831. https://doi.org/10.5194/hessd-8-6789-2011 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2011 | Jin, J.J., N.J. Livesey, J.H. Jiang, A. Lupu, J.W. Kaminski, and J.C. McConnell. 2011. Seasonal variation of trans-Pacific transport of carbon monoxide (CO) in the upper troposphere: MLS observations and GEOS-Chem and GEM-AQ simulations. Atmospheric Chemistry and Physics Discussions. 11(1):3219-3250. https://doi.org/10.5194/acpd-11-3219-2011 | Global Fire Emissions Database, Version 2.1 |
2011 | Katherine D. Corbin and Rachel M. Law; (2011) Extending atmospheric CO2 and tracer capabilities in ACCESS. The Centre for Australian Weather and Climate Research. CAWCR Technical Report No. 035. http://cawcr.gov.au/publications/technicalreports/CTR_035.pdf | Global Fire Emissions Database, Version 2.1 |
2011 | LINDNER, A.; (2011). Small scale structure of forest stands in the Atlantic Rainforest_Notes on understorey light fluctuation. Tropical Ecology. 52 (2): 139-150. ISBN: 0564-3295. | Global Leaf Area Index from Field Measurements, 1932-2000 |
2011 | Liu, R.Z. and A.G.L. Borthwick. 2011. Measurement and assessment of carrying capacity of the environment in Ningbo, China. Journal of Environmental Management. 92(8):2047-2053. https://doi.org/10.1016/j.jenvman.2011.03.033 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2011 | Novak, V. and K. Knava. 2011. The influence of stoniness and canopy properties on soil water content distribution: simulation of water movement in forest stony soil. European Journal of Forest Research. 131(6):1727-1735. https://doi.org/10.1007/s10342-011-0589-y | Global Leaf Area Index from Field Measurements, 1932-2000 |
2011 | Ossom, EM., Mavuso, NS., Seyoum, T., Nkambule, TP.; (2011). Influence of Sunnhemp (Crotalaria juncea L.) On Agronomic and Sensory Characteristics of Sweetpotato [Ipomoea batatas]. American-Eurasian Journal of Agricultural and Environmental Science. 11 (4): 581-592. | Global Leaf Area Index from Field Measurements, 1932-2000 |
2011 | Paulot, F., D. Wunch, J.D. Crounse, G.C. Toon, D.B. Millet, P.F. DeCarlo, C. Vigouroux, N.M. Deutscher, G. Gonzalez Abad, J. Notholt, T. Warneke, J.W. Hannigan, C. Warneke, J.A. de Gouw, E.J. Dunlea, M. De Maziere, D.W.T. Griffith, P. Bernath, J.L. Jimenez, and P.O. Wennberg. 2011. Importance of secondary sources in the atmospheric budgets of formic and acetic acids. Atmospheric Chemistry and Physics. 11(5):1989-2013. https://doi.org/10.5194/acp-11-1989-2011 | Global Fire Emissions Database, Version 2 (GFEDv2) |
2011 | Paulot, F., D.K. Henze, and P.O. Wennberg. 2011. Impact of the isoprene photochemical cascade on tropical ozone. Atmospheric Chemistry and Physics Discussions. 11(9):25605-25654. https://doi.org/10.5194/acpd-11-25605-2011 | Global Fire Emissions Database, Version 2 (GFEDv2) |
2011 | Prinn, R.G., Heimbach, P., Rigby, M., Dutkiewicz, S., Melillo, J.M., Reilly, J.M., Kicklighter, D.W., Waugh, C., Global Change Science Policy, (2011). A Strategy for a Global Observing System for Verification of National Greenhouse Gas Emissions. (200),. http://hdl.handle.net/1721.1/66300 | Global Fire Emissions Database, Version 2.1 |
2011 | Rahmani, R., A. Sadoddin, and S. Ghorbani. 2011. Measuring and modelling precipitation components in an Oriental beech stand of the Hyrcanian region, Iran. Journal of Hydrology. 404(3-4):294-303. https://doi.org/10.1016/j.jhydrol.2011.04.036 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2011 | SHUMAN, J.K., H.H. SHUGART, and T.L. O'HALLORAN. 2011. Sensitivity of Siberian larch forests to climate change. Global Change Biology. 17(7):2370-2384. https://doi.org/10.1111/j.1365-2486.2011.02417.x | RLC Vegetative Cover of the Former Soviet Union, 1990 |
2011 | Schwalm, C.R., C.A. Williams, K. Schaefer, I. Baker, G.J. Collatz, and C. Rodenbeck. 2011. Does terrestrial drought explain global CO<sub>2</sub> flux anomalies induced by El Nino?. Biogeosciences. 8(9):2493-2506. https://doi.org/10.5194/bg-8-2493-2011 | Global Fire Emissions Database, Version 3.1 |
2011 | Utembe, S.R., M.C. Cooke, A.T. Archibald, D.E. Shallcross, R.G. Derwent, and M.E. Jenkin. 2011. Simulating secondary organic aerosol in a 3-D Lagrangian chemistry transport model using the reduced Common Representative Intermediates mechanism (CRI v2-R5). Atmospheric Environment. 45(8):1604-1614. https://doi.org/10.1016/j.atmosenv.2010.11.046 | Global Fire Emissions Database, Version 2.1 |
2011 | Viegas, L., Stevenson, D.; (2011). Wildfires and Climatic Variability in African Woodlands. The 5th International Wildland Fire Conference. http://www.wildfire2011.org/material/papers/Lucy_Viegas.pdf | Global Fire Emissions Database, Version 2.1 |
2011 | Vives i Batlle, J., A. Smith, S. Vives-Lynch, D. Copplestone, G. Prohl, and T. Strand. 2011. Model-derived dose rates per unit concentration of radon in air in a generic plant geometry. Radiation and Environmental Biophysics. 50(4):513-529. https://doi.org/10.1007/s00411-011-0376-7 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2011 | Voulgarakis, A., P.J. Telford, A.M. Aghedo, P. Braesicke, G. Faluvegi, N.L. Abraham, K.W. Bowman, J.A. Pyle, and D.T. Shindell. 2011. Global multi-year O3-CO correlation patterns from models and TES satellite observations. Atmospheric Chemistry and Physics. 11(12):5819-5838. https://doi.org/10.5194/acp-11-5819-2011 | Global Fire Emissions Database, Version 2.1 |
2011 | Wang, W., D. Huang, X.G. Wang, Y.R. Liu, and F. Zhou. 2011. Estimation of soil moisture using trapezoidal relationship between remotely sensed land surface temperature and vegetation index. Hydrology and Earth System Sciences. 15(5):1699-1712. https://doi.org/10.5194/hess-15-1699-2011 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2011 | Yang, F., S.S.Y. Lau, and F. Qian. 2011. Thermal comfort effects of urban design strategies in high-rise urban environments in a sub-tropical climate. Architectural Science Review. 54(4):285-304. https://doi.org/10.1080/00038628.2011.613646 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2011 | Zhao, C., X. Liu, L. Ruby Leung, and S. Hagos. 2011. Radiative impact of mineral dust on monsoon precipitation variability over West Africa. Atmospheric Chemistry and Physics. 11(5):1879-1893. https://doi.org/10.5194/acp-11-1879-2011 | Global Fire Emissions Database, Version 2.1 |
2011 | Zyryanov, D., G. Foret, M. Eremenko, M. Beekmann, J.P. Cammas, M. D'Isidoro, H. Elbern, J. Flemming, E. Friese, I. Kioutsioutkis, A. Maurizi, D. Melas, F. Meleux, L. Menut, P. Moinat, V.H. Peuch, A. Poupkou, M. Razinger, M. Schultz, O. Stein, A.M. Suttie, A. Valdebenito, C. Zerefos, G. Dufour, G. Bergametti, and J.M. Flaud. 2011. 3-D evaluation of tropospheric ozone simulations by an ensemble of regional Chemistry Transport Model. Atmospheric Chemistry and Physics Discussions. 11(10):28797-28849. https://doi.org/10.5194/acpd-11-28797-2011 | Global Fire Emissions Database, Version 2 (GFEDv2) |
2010 | Accatino, F., C. De Michele, R. Vezzoli, D. Donzelli, and R.J. Scholes. 2010. Tree-grass co-existence in savanna: Interactions of rain and fire. Journal of Theoretical Biology. 267(2):235-242. https://doi.org/10.1016/j.jtbi.2010.08.012 | Characteristics of African Savanna Biomes for Determining Woody Cover |
2010 | Aulinger, A., V. Matthias, and M. Quante. 2010. An Approach to Temporally Disaggregate Benzo(a)pyrene Emissions and Their Application to a 3D Eulerian Atmospheric Chemistry Transport Model. Water, Air, & Soil Pollution. 216(1-4):643-655. https://doi.org/10.1007/s11270-010-0559-x | Global Fire Emissions Database, Version 2.1 |
2010 | C.A. Alves, C. Gonçalves, A. Vicente, T. Nunes, F. Mirante, L. Tarelho, A. Caseiro and C.A. Pio; (2010) Emissions of trace gases and aerosols from wildfires in Portugal in summer 2009 - Experiemental results from ground base measurements.VI International Conference on Forest Fire Research. D. X. Viegas (Ed.). http://www.cesam.ua.pt/subsites/files/1vi_intern_conf_forest_fire_research_wildfires_1_.pdf | Global Fire Emissions Database, Version 2 (GFEDv2) |
2010 | Chevallier, F., P. Ciais, T.J. Conway, T. Aalto, B.E. Anderson, P. Bousquet, E.G. Brunke, L. Ciattaglia, Y. Esaki, M. Frohlich, A. Gomez, A.J. Gomez-Pelaez, L. Haszpra, P.B. Krummel, R.L. Langenfelds, M. Leuenberger, T. Machida, F. Maignan, H. Matsueda, J.A. Morgui, H. Mukai, T. Nakazawa, P. Peylin, M. Ramonet, L. Rivier, Y. Sawa, M. Schmidt, L.P. Steele, S.A. Vay, A.T. Vermeulen, S. Wofsy, and D. Worthy. 2010. CO2surface fluxes at grid point scale estimated from a global 21 year reanalysis of atmospheric measurements. Journal of Geophysical Research. 115(D21):. https://doi.org/10.1029/2010JD013887 | Global Fire Emissions Database, Version 2.1 |
2010 | Gerber, S., L.O. Hedin, M. Oppenheimer, S.W. Pacala, and E. Shevliakova. 2010. Nitrogen cycling and feedbacks in a global dynamic land model. Global Biogeochemical Cycles. 24(1):n/a-n/a. https://doi.org/10.1029/2008gb003336 | Global Fire Emissions Database, Version 2.1 |
2010 | Gerber, S., L.O. Hedin, M. Oppenheimer, S.W. Pacala, and E. Shevliakova. 2010. Nitrogen cycling and feedbacks in a global dynamic land model. Global Biogeochemical Cycles. 24(1):n/a-n/a. https://doi.org/10.1029/2008gb003336 | Global Fire Emissions Database, Version 3.1 |
2010 | Hayes, D.J., A.D. McGuire, D.W. Kicklighter, T.J. Burnside, and J.M. Melillo. 2010. The Effects of Land Cover and Land Use Change on the Contemporary Carbon Balance of the Arctic and Boreal Terrestrial Ecosystems of Northern Eurasia. 109-136. https://doi.org/10.1007/978-90-481-9118-5_6 | Global Fire Emissions Database, Version 2.1 |
2010 | Hayes, D.J., A.D. McGuire, D.W. Kicklighter, T.J. Burnside, and J.M. Melillo. 2010. The Effects of Land Cover and Land Use Change on the Contemporary Carbon Balance of the Arctic and Boreal Terrestrial Ecosystems of Northern Eurasia. 109-136. https://doi.org/10.1007/978-90-481-9118-5_6 | Global Fire Emissions Database, Version 3.1 |
2010 | Jockel, P., A. Kerkweg, A. Pozzer, R. Sander, H. Tost, H. Riede, A. Baumgaertner, S. Gromov, and B. Kern. 2010. Development cycle 2 of the Modular Earth Submodel System (MESSy2). Geoscientific Model Development. 3(2):717-752. https://doi.org/10.5194/gmd-3-717-2010 | Global Fire Emissions Database, Version 2.1 |
2010 | Millet, D.B., A. Guenther, D.A. Siegel, N.B. Nelson, H.B. Singh, J.A. de Gouw, C. Warneke, J. Williams, G. Eerdekens, V. Sinha, T. Karl, F. Flocke, E. Apel, D.D. Riemer, P.I. Palmer, and M. Barkley. 2010. Global atmospheric budget of acetaldehyde: 3-D model analysis and constraints from in-situ and satellite observations. Atmospheric Chemistry and Physics. 10(7):3405-3425. https://doi.org/10.5194/acp-10-3405-2010 | Global Fire Emissions Database, Version 2 (GFEDv2) |
2010 | Pfeffer, M.A., B. Langmann, A. Heil, and H.F. Graf. 2010. Numerical simulations examining the possible role of anthropogenic and volcanic emissions during the 1997 Indonesian fires. Air Quality, Atmosphere & Health. 5(3):277-292. https://doi.org/10.1007/s11869-010-0105-4 | Global Fire Emissions Database, Version 2.1 |
2010 | Santini, M., G. Caccamo, A. Laurenti, S. Noce, and R. Valentini. 2010. A multi-component GIS framework for desertification risk assessment by an integrated index. Applied Geography. 30(3):394-415. https://doi.org/10.1016/j.apgeog.2009.11.003 | Literature-Derived Parameters for the BIOME-BGC Terrestrial Ecosystem Model |
2010 | Schuck, T.J., C.A.M. Brenninkmeijer, A.K. Baker, F. Slemr, P.F.J.v. Velthoven, and A. Zahn. 2010. Greenhouse gas relationships in the Indian summer monsoon plume measured by the CARIBIC passenger aircraft. Atmospheric Chemistry and Physics Discussions. 10(2):2031-2087. https://doi.org/10.5194/acpd-10-2031-2010 | Global Fire Emissions Database, Version 2.1 |
2010 | Schuh, A.E., A.S. Denning, K.D. Corbin, I.T. Baker, M. Uliasz, N. Parazoo, A.E. Andrews, and D.E.J. Worthy. 2010. A regional high-resolution carbon flux inversion of North America for 2004. Biogeosciences. 7(5):1625-1644. https://doi.org/10.5194/bg-7-1625-2010 | SiB3 Modeled Global 1-degree Hourly Biosphere-Atmosphere Carbon Flux, 1998-2006 |
2010 | Tupek, B., G. Zanchi, P.J. Verkerk, G. Churkina, N. Viovy, J.K. Hughes, and M. Lindner. 2010. A comparison of alternative modelling approaches to evaluate the European forest carbon fluxes. Forest Ecology and Management. 260(3):241-251. https://doi.org/10.1016/j.foreco.2010.01.045 | Global Forest Ecosystem Structure and Function Data For Carbon Balance Research |
2010 | Zhao, C., X. Liu, L.R. Leung, B. Johnson, S.A. McFarlane, W.I. Gustafson, J.D. Fast, and R. Easter. 2010. The spatial distribution of mineral dust and its shortwave radiative forcing over North Africa: modeling sensitivities to dust emissions and aerosol size treatments. Atmospheric Chemistry and Physics. 10(18):8821-8838. https://doi.org/10.5194/acp-10-8821-2010 | Global Fire Emissions Database, Version 2.1 |
2010 | Zhao, C., Y. Wang, Q. Yang, R. Fu, D. Cunnold, and Y. Choi. 2010. Impact of East Asian summer monsoon on the air quality over China: View from space. Journal of Geophysical Research. 115(D9):. https://doi.org/10.1029/2009JD012745 | Global Fire Emissions Database, Version 2.1 |
2010 | Zhao, C., Y. Wang, Q. Yang, R. Fu, D. Cunnold, and Y. Choi. 2010. Impact of East Asian summer monsoon on the air quality over China: View from space. Journal of Geophysical Research. 115(D9):. https://doi.org/10.1029/2009JD012745 | Global Fire Emissions Database, Version 3.1 |
2009 | Elbert, W., B. Weber, B. Budel, M.O. Andreae, and U. Poschl. 2009. Microbiotic crusts on soil, rock and plants: neglected major players in the global cycles of carbon and nitrogen?. Biogeosciences Discussions. 6(4):6983-7015. https://doi.org/10.5194/bgd-6-6983-2009 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2009 | Flemming, J., A. Inness, H. Flentje, V. Huijnen, P. Moinat, M.G. Schultz, and O. Stein. 2009. Coupling global chemistry transport models to ECMWF's integrated forecast system. Geoscientific Model Development. 2(2):253-265. https://doi.org/10.5194/gmd-2-253-2009 | Global Fire Emissions Database, Version 2.1 |
2009 | Lokupitiya, E., S. Denning, K. Paustian, I. Baker, K. Schaefer, S. Verma, T. Meyers, C.J. Bernacchi, A. Suyker, and M. Fischer. 2009. Incorporation of crop phenology in Simple Biosphere Model (SiBcrop) to improve land-atmosphere carbon exchanges from croplands. Biogeosciences. 6(6):969-986. https://doi.org/10.5194/bg-6-969-2009 | SiB3 Modeled Global 1-degree Hourly Biosphere-Atmosphere Carbon Flux, 1998-2006 |
2009 | Malhado, A.C.M., M.H. Costa, F.Z. de Lima, K.C. Portilho, and D.N. Figueiredo. 2009. Seasonal leaf dynamics in an Amazonian tropical forest. Forest Ecology and Management. 258(7):1161-1165. https://doi.org/10.1016/j.foreco.2009.06.002 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2009 | Millet, D.B., E.L. Atlas, D.R. Blake, N.J. Blake, G.S. Diskin, J.S. Holloway, R.C. Hudman, S. Meinardi, T.B. Ryerson, and G.W. Sachse. 2009. Halocarbon Emissions from the United States and Mexico and Their Global Warming Potential. Environmental Science & Technology. 43(4):1055-1060. https://doi.org/10.1021/es802146j | Global Fire Emissions Database, Version 2 (GFEDv2) |
2009 | SCHEITER, S. and S.I. HIGGINS. 2009. Impacts of climate change on the vegetation of Africa: an adaptive dynamic vegetation modelling approach. Global Change Biology. 15(9):2224-2246. https://doi.org/10.1111/j.1365-2486.2008.01838.x | Global Fire Emissions Database, Version 2 (GFEDv2) |
2009 | Schuh, A.E., A.S. Denning, K.D. Corbin, I.T. Baker, M. Uliasz, N. Parazoo, A.E. Andrews, and D.E.J. Worthy. 2009. A regional high-resolution carbon flux inversion of North America for 2004. Biogeosciences Discussions. 6(6):10195-10241. https://doi.org/10.5194/bgd-6-10195-2009 | SiB3 Modeled Global 1-degree Hourly Biosphere-Atmosphere Carbon Flux, 1998-2006 |
2009 | Teobaldelli, M., Z. Somogyi, M. Migliavacca, and V.A. Usoltsev. 2009. Generalized functions of biomass expansion factors for conifers and broadleaved by stand age, growing stock and site index. Forest Ecology and Management. 257(3):1004-1013. https://doi.org/10.1016/j.foreco.2008.11.002 | Biomass Allocation and Growth Data of Seeded Plants |
2009 | Weber, U., M. Jung, M. Reichstein, C. Beer, M.C. Braakhekke, V. Lehsten, D. Ghent, J. Kaduk, N. Viovy, P. Ciais, N. Gobron, and C. Rodenbeck. 2009. The interannual variability of Africa's ecosystem productivity: a multi-model analysis. Biogeosciences. 6(2):285-295. https://doi.org/10.5194/bg-6-285-2009 | Global Fire Emissions Database, Version 2.1 |
2009 | Zhang, Q., D.G. Streets, G.R. Carmichael, K.B. He, H. Huo, A. Kannari, Z. Klimont, I.S. Park, S. Reddy, J.S. Fu, D. Chen, L. Duan, Y. Lei, L.T. Wang, and Z.L. Yao. 2009. Asian emissions in 2006 for the NASA INTEX-B mission. Atmospheric Chemistry and Physics. 9(14):5131-5153. https://doi.org/10.5194/acp-9-5131-2009 | Global Fire Emissions Database, Version 2.1 |
2009 | Zhao, C., Y. Wang, and T. Zeng. 2009. East China Plains: A "Basin" of Ozone Pollution. Environmental Science & Technology. 43(6):1911-1915. https://doi.org/10.1021/es8027764 | Global Fire Emissions Database, Version 2.1 |
2009 | Zuo, J., J. Huang, J. Wang, W. Zhang, J. Bi, G. Wang, W. Li, and P. Fu. 2009. Surface turbulent flux measurements over the Loess Plateau for a semi-arid climate change study. Advances in Atmospheric Sciences. 26(4):679-691. https://doi.org/10.1007/s00376-009-8188-2 | Global Fire Emissions Database, Version 2.1 |
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2008 | Campbell, A., Lysenko, L, Hughes, A. Gibbs, H., (2008). Carbon Storage in Protected Areas-Technical Report. | RLC Forest Stand Carbon Map of Russia |
2008 | Combalicer, E.A., S.H. Lee, S. Ahn, D.Y. Kim, and S. Im. 2008. Modeling water balance for the small-forested watershed in Korea. KSCE Journal of Civil Engineering. 12(5):339-348. https://doi.org/10.1007/s12205-008-0339-y | Global Leaf Area Index from Field Measurements, 1932-2000 |
2008 | Corbin, K.D., A.S. Denning, and N.C. Parazoo. 2008. Assessing temporal clear-sky errors in assimilation of satellite CO2 retrievals using a global transport model. Atmospheric Chemistry and Physics Discussions. 8(4):12887-12901. https://doi.org/10.5194/acpd-8-12887-2008 | SiB3 Modeled Global 1-degree Hourly Biosphere-Atmosphere Carbon Flux, 1998-2006 |
2008 | Nunes, J.P., J. Seixas, and N.R. Pacheco. 2008. Vulnerability of water resources, vegetation productivity and soil erosion to climate change in Mediterranean watersheds. Hydrological Processes. 22(16):3115-3134. https://doi.org/10.1002/hyp.6897 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2008 | Patra, P.K., R.M. Law, W. Peters, C. Rodenbeck, M. Takigawa, C. Aulagnier, I. Baker, D.J. Bergmann, P. Bousquet, J. Brandt, L. Bruhwiler, P.J. Cameron-Smith, J.H. Christensen, F. Delage, A.S. Denning, S. Fan, C. Geels, S. Houweling, R. Imasu, U. Karstens, S.R. Kawa, J. Kleist, M.C. Krol, S.J. Lin, R. Lokupitiya, T. Maki, S. Maksyutov, Y. Niwa, R. Onishi, N. Parazoo, G. Pieterse, L. Rivier, M. Satoh, S. Serrar, S. Taguchi, R. Vautard, A.T. Vermeulen, and Z. Zhu. 2008. TransCom model simulations of hourly atmospheric CO2: Analysis of synoptic-scale variations for the period 2002-2003. Global Biogeochemical Cycles. 22(4):n/a-n/a. https://doi.org/10.1029/2007GB003081 | SiB3 Modeled Global 1-degree Hourly Biosphere-Atmosphere Carbon Flux, 1998-2006 |
2008 | Schenk, H.J. 2008. The Shallowest Possible Water Extraction Profile: A Null Model for Global Root Distributions. Vadose Zone Journal. 7(3):1119. https://doi.org/10.2136/vzj2007.0119 | Global Distribution of Root Profiles in Terrestrial Ecosystems |
2008 | Wallens, S., (2008). Modelisation des emissions de composes organiques volatils par la vegetation. | Global Leaf Area Index from Field Measurements, 1932-2000 |
2008 | Weber, U., M. Jung, M. Reichstein, C. Beer, M. Braakhekke, V. Lehsten, D. Ghent, J. Kaduk, N. Viovy, P. Ciais, N. Gobron, and C. Rodenbeck. 2008. The inter-annual variability of Africa's ecosystem productivity: a multi-model analysis. Biogeosciences Discussions. 5(5):4035-4069. https://doi.org/10.5194/bgd-5-4035-2008 | Global Fire Emissions Database, Version 2.1 |
2007 | Aghedo, A.M., M.G. Schultz, and S. Rast. 2007. The influence of African air pollution on regional and global tropospheric ozone. Atmospheric Chemistry and Physics. 7(5):1193-1212. https://doi.org/10.5194/acp-7-1193-2007 | Global Fire Emissions Database, Version 2.1 |
2007 | ENQUIST, B.J., A.J. KERKHOFF, T.E. HUXMAN, and E.P. ECONOMO. 2007. Adaptive differences in plant physiology and ecosystem paradoxes: insights from metabolic scaling theory. Global Change Biology. 13(3):591-609. https://doi.org/10.1111/j.1365-2486.2006.01222.x | Biomass Allocation and Growth Data of Seeded Plants |
2007 | Gusev, E.M. and O.N. Nasonova. 2007. Technique for estimating the dynamics of water and carbon budgets of a coniferous forest ecosystem. Izvestiya, Atmospheric and Oceanic Physics. 43(1):70-80. https://doi.org/10.1134/S0001433807010082 | RLC Forest Stand Carbon Map of Russia |
2006 | CINNIRELLA, S. and N. PIRRONE. 2006. Spatial and temporal distributions of mercury emissions from forest fires in Mediterranean region and Russian federation. Atmospheric Environment. 40(38):7346-7361. https://doi.org/10.1016/j.atmosenv.2006.06.051 | RLC Forest Stand Carbon Map of Russia |
2006 | Green, J.C., I. Reid, I.R. Calder, and T.R. Nisbet. 2006. Four-year comparison of water contents beneath a grass ley and a deciduous oak wood overlying Triassic sandstone in lowland England. Journal of Hydrology. 329(1-2):16-25. https://doi.org/10.1016/j.jhydrol.2006.02.004 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2006 | Nikolov, N. and K. Zeller. 2006. Efficient retrieval of vegetation leaf area index and canopy clumping factor from satellite data to support pollutant deposition assessments. Environmental Pollution. 141(3):539-549. https://doi.org/10.1016/j.envpol.2005.08.059 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2006 | Smiatek, G. and R. Steinbrecher. 2006. Temporal and spatial variation of forest VOC emissions in Germany in the decade 1994-2003. Atmospheric Environment. 40:166-177. https://doi.org/10.1016/j.atmosenv.2005.11.071 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2006 | Treseder, K.K. and A. Cross. 2006. Global Distributions of Arbuscular Mycorrhizal Fungi. Ecosystems. 9(2):305-316. https://doi.org/10.1007/s10021-005-0110-x | Global Distribution of Root Nutrient Concentrations in Terrestrial Ecosystems |
2006 | White, M.A. and R.R. Nemani. 2006. Real-time monitoring and short-term forecasting of land surface phenology. Remote Sensing of Environment. 104(1):43-49. https://doi.org/10.1016/j.rse.2006.04.014 | Phenoregions For Monitoring Vegetation Responses to Climate Change |
2005 | Schenk, H.J. and R.B. Jackson. 2005. Mapping the global distribution of deep roots in relation to climate and soil characteristics. Geoderma. 126(1-2):129-140. https://doi.org/10.1016/j.geoderma.2004.11.018 | Global Distribution of Root Profiles in Terrestrial Ecosystems |
2005 | White, M.A., F. Hoffman, W.W. Hargrove, and R.R. Nemani. 2005. A global framework for monitoring phenological responses to climate change. Geophysical Research Letters. 32(4):n/a-n/a. https://doi.org/10.1029/2004gl021961 | Phenoregions For Monitoring Vegetation Responses to Climate Change |
2004 | Dalla Valle, Matteo; Dachs, Jordi; Sweetman, Andrew J.; Jones, Kevin C.; (2004). Maximum reservoir capacity of vegetation for persistent organic pollutants: Implications for global cycling. Global Biogeochemical Cycles. 18 (4): GB4032. | Global Leaf Area Index from Field Measurements, 1932-2000 |
2004 | Makarieva, A.M., V.G. Gorshkov, B.L. Li, and K.S. Losev. 2004. The Upper and Lower Ecological Limits of Specific Metabolic Power of Different Organisms. Russian Journal of Ecology. 35(1):10-15. https://doi.org/10.1023/B:RUSE.0000011103.00669.df | Global Leaf Area Index from Field Measurements, 1932-2000 |
2003 | Asner, G.P., J.M.O. Scurlock, and J. A. Hicke. 2003. Global synthesis of leaf area index observations: implications for ecological and remote sensing studies. Global Ecology and Biogeography. 12(3):191-205. https://doi.org/10.1046/j.1466-822X.2003.00026.x | Global Leaf Area Index from Field Measurements, 1932-2000 |
2003 | Drucker, D., H. Bocherens, A. Bridault, and D. Billiou. 2003. Carbon and nitrogen isotopic composition of red deer (Cervus elaphus) collagen as a tool for tracking palaeoenvironmental change during the Late-Glacial and Early Holocene in the northern Jura (France). Palaeogeography, Palaeoclimatology, Palaeoecology. 195(3-4):375-388. https://doi.org/10.1016/S0031-0182(03)00366-3 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2003 | Ong, B.L. 2003. Green plot ratio: an ecological measure for architecture and urban planning. Landscape and Urban Planning. 63(4):197-211. https://doi.org/10.1016/S0169-2046(02)00191-3 | Global Leaf Area Index from Field Measurements, 1932-2000 |
2002 | Luo, T., R.P. Neilson, H. Tian, C.J. Vorosmarty, H. Zhu, and S. Liu. 2002. A model for seasonality and distribution of leaf area index of forests and its application to China. Journal of Vegetation Science. 13(6):817-830. https://doi.org/10.1111/j.1654-1103.2002.tb02111.x | Global Leaf Area Index from Field Measurements, 1932-2000 |
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2014 | Bows, A. and J. Barrett. 2014. Cumulative emission scenarios using a consumption-based approach: a glimmer of hope?. Carbon Management. 1(1):161-175. https://doi.org/10.4155/cmt.10.17 | Vegetation Collection |
2014 | Congalton, R., J. Gu, K. Yadav, P. Thenkabail, and M. Ozdogan. 2014. Global Land Cover Mapping: A Review and Uncertainty Analysis. Remote Sensing. 6(12):12070-12093. https://doi.org/10.3390/rs61212070 | Vegetation Collection |
2014 | Gebregiorgis, A.S. and F. Hossain. 2014. Estimation of Satellite Rainfall Error Variance Using Readily Available Geophysical Features. IEEE Transactions on Geoscience and Remote Sensing. 52(1):288-304. https://doi.org/10.1109/TGRS.2013.2238636 | Vegetation Collection |
2014 | Hou, Y., S. Zhou, B. Burkhard, and F. Muller. 2014. Socioeconomic influences on biodiversity, ecosystem services and human well-being: A quantitative application of the DPSIR model in Jiangsu, China. Science of The Total Environment. 490:1012-1028. https://doi.org/10.1016/j.scitotenv.2014.05.071 | Vegetation Collection |
2012 | Zhu, W., H. Tian, X. Xu, Y. Pan, G. Chen, and W. Lin. 2012. Extension of the growing season due to delayed autumn over mid and high latitudes in North America during 1982-2006. Global Ecology and Biogeography. 21(2):260-271. https://doi.org/10.1111/j.1466-8238.2011.00675.x | Vegetation Collection |
2011 | Calderhead, A.I., R. Martel, J. Garfias, A. Rivera, and R. Therrien. 2011. Pumping dry: an increasing groundwater budget deficit induced by urbanization, industrialization, and climate change in an over-exploited volcanic aquifer. Environmental Earth Sciences. 66(7):1753-1767. https://doi.org/10.1007/s12665-011-1398-9 | Vegetation Collection |
2011 | Calvao, T. and J.M. Palmeirim. 2011. A comparative evaluation of spectral vegetation indices for the estimation of biophysical characteristics of Mediterranean semi-deciduous shrub communities. International Journal of Remote Sensing. 32(8):2275-2296. https://doi.org/10.1080/01431161003698245 | Vegetation Collection |
2011 | Delegido, J., J. Verrelst, L. Alonso, and J. Moreno. 2011. Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content. Sensors. 11(7):7063-7081. https://doi.org/10.3390/s110707063 | Vegetation Collection |
2008 | Wallens, S., (2008). Modelisation des emissions de composes organiques volatils par la vegetation. | Vegetation Collection |
2007 | Aghedo, A.M., M.G. Schultz, and S. Rast. 2007. The influence of African air pollution on regional and global tropospheric ozone. Atmospheric Chemistry and Physics. 7(5):1193-1212. https://doi.org/10.5194/acp-7-1193-2007 | Vegetation Collection |