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Publications Citing International Satellite Land Surface Climatology Project (ISLSCP II)

The following 265 publications cited the International Satellite Land Surface Climatology Project (ISLSCP II) project.

YearCitationDataset or Project
2024Cho, N., C. Agossou, E. Kim, J. Lim, T. Hwang, and S. Kang. 2024. Evaluating key climatic and ecophysiological parameters of worldwide tree mortality with a process-based BGC model and machine learning algorithms. Ecological Modelling. 491:110688. https://doi.org/10.1016/j.ecolmodel.2024.110688
2024Ghavni, K.K., S. Hejabi, and M. Montaseri. 2024. Modeling the effects of irrigated agricultural development on the hydroclimate of the Lake Urmia Basin. Theoretical and Applied Climatology. 155(9):9099-9114. https://doi.org/10.1007/s00704-024-05178-0
2024Li, H., H. Zhang, Y. Wang, J. Zhao, Z. Feng, H. Chen, X. Guo, T. Xiong, J. Xiao, and X. Li. 2024. Evaluation of photosynthesis estimation from machine learning-based solar-induced chlorophyll fluorescence downscaling from canopy to leaf level. Ecological Indicators. 166:112439. https://doi.org/10.1016/j.ecolind.2024.112439
2024Liu, J., G. Mao, S. Zhang, X. Liu, L. Feng, Z. Wang, H. Chen, Y. Pokhrel, H. Dang, and H. Wang. 2024. Surface Water. Water Resources in the Lancang-Mekong River Basin: Impact of Climate Change and Human Interventions. 49-119. https://doi.org/10.1007/978-981-97-0759-1_3
2024LIU, X. and H. LIU. 2024. The application of ANN-FLUS model in reconstructing historical cropland distribution changes: A case study of Vietnam from 1885 to 2000. JOURNAL OF NATURAL RESOURCES. 39(6):1473. https://doi.org/10.31497/zrzyxb.20240613
2024Monti,, J., D.A. Walter, and K.L. Jahn. 2024. Nitrogen load estimates from six nonpoint sources on Long Island, New York, from 1900 to 2019. Scientific Investigations Report. https://doi.org/10.3133/sir20245047
2024Peng, J., Y. Xue, N. Pan, Y. Zhang, H. Liang, and F. Zhang. 2024. Exploring the Spatiotemporal Alterations in China’s GPP Based on the DTEC Model. Remote Sensing. 16(8):1361. https://doi.org/10.3390/rs16081361
2024Sharples, W., U. Bende-Michl, L. Wilson, A. Shokri, A. Frost, and S. Baron-Hay. 2024. Improving continental hydrological models for future climate conditions via multi-objective optimisation. Environmental Modelling & Software. 176:106018. https://doi.org/10.1016/j.envsoft.2024.106018
2023Beier, F.D., B.L. Bodirsky, J. Heinke, K. Karstens, J.P. Dietrich, C. Müller, F. Stenzel, P.J. von Jeetze, A. Popp, and H. Lotze?Campen. 2023. Technical and Economic Irrigation Potentials Within Land and Water Boundaries. Water Resources Research. 59(4). https://doi.org/10.1029/2021WR031924
2023Di, L. and E. Yu. 2023. Examples of Remote Sensing Applications of Big Data Analytics—Land Cover Time Series Creation. Springer Remote Sensing/Photogrammetry, Remote Sensing Big Data. 261-270. https://doi.org/10.1007/978-3-031-33932-5_16
2023Dong, G., S. Chen, K. Liu, W. Wang, H. Hou, L. Gao, F. Zhang, and H. Su. 2023. Spatiotemporal variation in sensitivity of urban vegetation growth and greenness to vegetation water content: Evidence from Chinese megacities. Science of The Total Environment. 905:167090. https://doi.org/10.1016/j.scitotenv.2023.167090
2023Fluet-Chouinard, E., B.D. Stocker, Z. Zhang, A. Malhotra, J.R. Melton, B. Poulter, J.O. Kaplan, K.K. Goldewijk, S. Siebert, T. Minayeva, G. Hugelius, H. Joosten, A. Barthelmes, C. Prigent, F. Aires, A.M. Hoyt, N. Davidson, C.M. Finlayson, B. Lehner, R.B. Jackson, and P.B. McIntyre. 2023. Extensive global wetland loss over the past three centuries. Nature. 614(7947):281-286. https://doi.org/10.1038/s41586-022-05572-6
2023Jia, R., X. Fang, and Y. Ye. 2023. Gridded reconstruction of cropland cover changes in Northeast China from AD 1000 to 1200. Regional Environmental Change. 23(4). https://doi.org/10.1007/s10113-023-02118-y
2023Klein, K., G. Weniger, P. Ludwig, C. Stepanek, X. Zhang, C. Wegener, and Y. Shao. 2023. Assessing climatic impact on transition from Neanderthal to anatomically modern human population on Iberian Peninsula: a macroscopic perspective. Science Bulletin. 68(11):1176-1186. https://doi.org/10.1016/j.scib.2023.04.025
2023Li, S., G. Wang, C. Zhu, M. Hannemann, R. Poyatos, J. Lu, J. Li, W. Ullah, D.F.T. Hagan, A. García-García, Y. Liu, Q. Liu, S. Ma, Q. Liu, S. Sun, F. Zhao, and J. Peng. 2023. Spatial patterns and recent temporal trends in global transpiration modelled using eco-evolutionary optimality. Agricultural and Forest Meteorology. 342:109702. https://doi.org/10.1016/j.agrformet.2023.109702
2023Li, S., G. Wang, C. Zhu, M. Hannemann, R. Poyatos, J. Lu, J. Li, W. Ullah, D.F.T. Hagan, A. García-García, Y. Liu, Q. Liu, S. Ma, Q. Liu, S. Sun, F. Zhao, and J. Peng. 2023. Spatial patterns and recent temporal trends in global transpiration modelled using eco-evolutionary optimality. Agricultural and Forest Meteorology. 342:109702. https://doi.org/10.1016/j.agrformet.2023.109702
2023Li, Y., A. Chen, G. Mao, P. Chen, H. Huang, H. Yang, Z. Wang, K. Wang, H. Chen, Y. Meng, R. Zhong, P. Wang, H. Wang, and J. Liu. 2023. Multi-model analysis of historical runoff changes in the Lancang-Mekong River Basin – Characteristics and uncertainties. Journal of Hydrology. 619:129297. https://doi.org/10.1016/j.jhydrol.2023.129297
2023Li, Y., S. Chen, J. Yin, and X. Yuan. 2023. Technical note: A stochastic framework for identification and evaluation of flash drought. Hydrology and Earth System Sciences. 27(5):1077-1087. https://doi.org/10.5194/hess-27-1077-2023
2023Mathur, M. and P. Mathur. 2023. Predictive ecological niche modelling of an important bio-control agent: Trichoderma harzianum (Rifai) using the MaxEnt machine learning tools with climatic and non-climatic predictors. Biocontrol Science and Technology. 33(9):820-854. https://doi.org/10.1080/09583157.2023.2245985
2023Mathur, M. and P. Mathur. 2023. Predictive ecological niche modelling of an important bio-control agent: Trichoderma harzianum (Rifai) using the MaxEnt machine learning tools with climatic and non-climatic predictors. Biocontrol Science and Technology. 33(9):820-854. https://doi.org/10.1080/09583157.2023.2245985
2023Mazzariello, A., R. Albano, T. Lacava, S. Manfreda, and A. Sole. 2023. Intercomparison of recent microwave satellite soil moisture products on European ecoregions. Journal of Hydrology. 626:130311. https://doi.org/10.1016/j.jhydrol.2023.130311
2023Muzylev, E.L. 2023. Utilization of Remote Sensing Data in the Simulation of the Water and Heat Regime of Land Areas: A Review of Publications. Water Resources. 50(5):709-731. https://doi.org/10.1134/S0097807823700021
2023Tang, Q., J. Golaz, L.P. Van Roekel, M.A. Taylor, W. Lin, B.R. Hillman, P.A. Ullrich, A.M. Bradley, O. Guba, J.D. Wolfe, T. Zhou, K. Zhang, X. Zheng, Y. Zhang, M. Zhang, M. Wu, H. Wang, C. Tao, B. Singh, A.M. Rhoades, Y. Qin, H. Li, Y. Feng, Y. Zhang, C. Zhang, C.S. Zender, S. Xie, E.L. Roesler, A.F. Roberts, A. Mametjanov, M.E. Maltrud, N.D. Keen, R.L. Jacob, C. Jablonowski, O.K. Hughes, R.M. Forsyth, A.V. Di Vittorio, P.M. Caldwell, G. Bisht, R.B. McCoy, L.R. Leung, and D.C. Bader. 2023. The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results. Geoscientific Model Development. 16(13):3953-3995. https://doi.org/10.5194/gmd-16-3953-2023
2023Wang, Y., Y. Ma, D. Muñoz-Esparza, J. Dai, C.W.Y. Li, P. Lichtig, R.C. Tsang, C. Liu, T. Wang, and G.P. Brasseur. 2023. Coupled mesoscale–microscale modeling of air quality in a polluted city using WRF-LES-Chem. Atmospheric Chemistry and Physics. 23(10):5905-5927. https://doi.org/10.5194/acp-23-5905-2023
2023Yu, H., Y. Duan, J. Mulder, P. Dörsch, W. Zhu, Xu-Ri, K. Huang, Z. Zheng, R. Kang, C. Wang, Z. Quan, F. Zhu, D. Liu, S. Peng, S. Han, Y. Zhang, and Y. Fang. 2023. Universal temperature sensitivity of denitrification nitrogen losses in forest soils. Nature Climate Change. 13(7):726-734. https://doi.org/10.1038/s41558-023-01708-2
2023Yuan, S., W. Lei, Q. Liu, R. Liu, J. Liu, J. Fu, and Y. Han. 2023. Distribution and environmental impact of microalgae production potential under the carbon-neutral target. Energy. 263:125584. https://doi.org/10.1016/j.energy.2022.125584
2023Yuan, S., W. Lei, Y. Cen, Q. Liu, J. Liu, J. Fu, and Y. Han. 2023. Economic analysis of global microalgae biomass energy potential. Science of The Total Environment. 899:165596. https://doi.org/10.1016/j.scitotenv.2023.165596
2022Bastos, A., P. Ciais, S. Sitch, L.E.O.C. Aragão, F. Chevallier, D. Fawcett, T.M. Rosan, M. Saunois, D. Günther, L. Perugini, C. Robert, Z. Deng, J. Pongratz, R. Ganzenmüller, R. Fuchs, K. Winkler, S. Zaehle, and C. Albergel. 2022. On the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: lessons learned from ESA-CCI RECCAP2. Carbon Balance and Management. 17(1). https://doi.org/10.1186/s13021-022-00214-w
2022Braghiere, R.K., J.B. Fisher, K. Allen, E. Brzostek, M. Shi, X. Yang, D.M. Ricciuto, R.A. Fisher, Q. Zhu, and R.P. Phillips. 2022. Modeling Global Carbon Costs of Plant Nitrogen and Phosphorus Acquisition. Journal of Advances in Modeling Earth Systems. 14(8). https://doi.org/10.1029/2022MS003204
2022Chen, X., Y. Huang, C. Nie, S. Zhang, G. Wang, S. Chen, and Z. Chen. 2022. A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms. Scientific Data. 9(1). https://doi.org/10.1038/s41597-022-01520-1
2022Ekberzade, B., O. Yetemen, O.L. Sen, and H.N. Dalfes. 2022. Simulating the potential forest ranges in an old land: the case for Turkey’s forests. Biodiversity and Conservation. 31(13-14):3217-3236. https://doi.org/10.1007/s10531-022-02485-8
2022Fang, J., H.H. Shugart, F. Liu, X. Yan, Y. Song, and F. Lv. 2022. FORCCHN V2.0: an individual-based model for predicting multiscale forest carbon dynamics. Geoscientific Model Development. 15(17):6863-6872. https://doi.org/10.5194/gmd-15-6863-2022
2022Guirado, E., M. Delgado-Baquerizo, J. Martínez-Valderrama, S. Tabik, D. Alcaraz-Segura, and F.T. Maestre. 2022. Climate legacies drive the distribution and future restoration potential of dryland forests. Nature Plants. 8(8):879-886. https://doi.org/10.1038/s41477-022-01198-8
2022Hauser, E., P.L. Sullivan, A.N. Flores, D. Hirmas, and S.A. Billings. 2022. Global?Scale Shifts in Rooting Depths Due To Anthropocene Land Cover Changes Pose Unexamined Consequences for Critical Zone Functioning. Earth's Future. 10(11). https://doi.org/10.1029/2022EF002897
2022Hauser, E., P.L. Sullivan, A.N. Flores, D. Hirmas, and S.A. Billings. 2022. Global?Scale Shifts in Rooting Depths Due To Anthropocene Land Cover Changes Pose Unexamined Consequences for Critical Zone Functioning. Earth's Future. 10(11). https://doi.org/10.1029/2022EF002897
2022Liu, J., P. Fang, Y. Que, L. Zhu, Z. Duan, G. Tang, P. Liu, M. Ji, and Y. Liu. 2022. A dataset of lake-catchment characteristics for the Tibetan Plateau. Earth System Science Data. 14(8):3791-3805. https://doi.org/10.5194/essd-14-3791-2022
2022Liu, 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
2022Liu, 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
2022Makarieva, A.M., A.V. Nefiodov, A.D. Nobre, D. Sheil, P. Nobre, J. Pokorný, P. Hesslerová, and B. Li. 2022. Vegetation impact on atmospheric moisture transport under increasing land-ocean temperature contrasts. Heliyon. 8(10):e11173. https://doi.org/10.1016/j.heliyon.2022.e11173
2022Nijzink, R.C., J. Beringer, L.B. Hutley, and S.J. Schymanski. 2022. Does maximization of net carbon profit enable the prediction of vegetation behaviour in savanna sites along a precipitation gradient?. Hydrology and Earth System Sciences. 26(2):525-550. https://doi.org/10.5194/hess-26-525-2022
2022Ren, S., X. Chen, and C. Pan. 2022. Temperature-precipitation background affects spatial heterogeneity of spring phenology responses to climate change in northern grasslands (30°N-55°N). Agricultural and Forest Meteorology. 315:108816. https://doi.org/10.1016/j.agrformet.2022.108816
2022Roobaert, A., L. Resplandy, G.G. Laruelle, E. Liao, and P. Regnier. 2022. A framework to evaluate and elucidate the driving mechanisms of coastal sea surface <i>p</i>CO<sub>2</sub> seasonality using an ocean general circulation model (MOM6-COBALT). Ocean Science. 18(1):67-88. https://doi.org/10.5194/os-18-67-2022
2022Sato, H., and T. Ise. 2022. Predicting global terrestrial biomes with the LeNet convolutional neural network. Geoscientific Model Development. 15(7):3121-3132. https://doi.org/10.5194/gmd-15-3121-2022
2022Scott, H.G., and N.G. Smith. 2022. A Model of C 4 Photosynthetic Acclimation Based on Least?Cost Optimality Theory Suitable for Earth System Model Incorporation. Journal of Advances in Modeling Earth Systems. 14(3). https://doi.org/10.1029/2021MS002470
2022Shu, Mi, and Du, Shihong. 2022. Forty Years' Progress and Challenges of Remote Sensing in National Land Survey. Journal of Geo-Information Science. 24(4):597-616. https://doi.org/10.12082/dqxxkx.2022.210512
2022Shu, Mi, and Du, Shihong. 2022. Forty Years' Progress and Challenges of Remote Sensing in National Land Survey. Journal of Geo-Information Science. 24(4):597-616. https://doi.org/10.12082/dqxxkx.2022.210512
2022Stephens, R.B., A.P. Ouimette, E.A. Hobbie, and R.J. Rowe. 2022. Reevaluating trophic discrimination factors ( ?? 13 C and ?? 15 N ) for diet reconstruction. Ecological Monographs. 92(3). https://doi.org/10.1002/ecm.1525
2022Tamoffo, A.T., A. Dosio, L.K. Amekudzi, and T. Weber. 2022. Process-oriented evaluation of the West African Monsoon system in CORDEX-CORE regional climate models. Climate Dynamics. https://doi.org/10.1007/s00382-022-06502-y
2022Tamoffo, A.T., L.K. Amekudzi, T. Weber, D.A. Vondou, E.I. Yamba, and D. Jacob. 2022. Mechanisms of Rainfall Biases in Two CORDEX-CORE Regional Climate Models at Rainfall Peaks over Central Equatorial Africa. Journal of Climate. 35(2):639-668. https://doi.org/10.1175/JCLI-D-21-0487.1
2022Wang, H., H. Yan, Y. Hu, Y. Xi, and Y. Yang. 2022. Consistency and Accuracy of Four High-Resolution LULC Datasets—Indochina Peninsula Case Study. Land. 11(5):758. https://doi.org/10.3390/land11050758
2022Yang, X., H. Xu, and M. Tan. 2022. Downscaling estimates of land carbon opportunity costs for agricultural products to provincial level in China. Journal of Cleaner Production. 376:134267. https://doi.org/10.1016/j.jclepro.2022.134267
2022Ye, Y., J. Li, X. Fang, D. Zhang, Z. Zhao, Z. Wu, Y. Lu, and B. Li. 2022. Reconstruction of cropland change in European countries using integrated multisource data since AD 1800. Boreas. 52(1):60-77. https://doi.org/10.1111/bor.12598
2021Anande, D.M. and M.S. Park. 2021. Impacts of Projected Urban Expansion on Rainfall and Temperature during Rainy Season in the Middle-Eastern Region in Tanzania. Atmosphere. 12(10):1234. https://doi.org/10.3390/atmos12101234
2021Aziz, T. 2021. Changes in land use and ecosystem services values in Pakistan, 1950-2050. Environmental Development. 37:100576. https://doi.org/10.1016/j.envdev.2020.100576
2021Karp, A.T., J.W. Andrae, F.A. McInerney, P.J. Polissar, and K.H. Freeman. 2021. Soil Carbon Loss and Weak Fire Feedbacks During Pliocene C 4 Grassland Expansion in Australia . Geophysical Research Letters. 48(2):. https://doi.org/10.1029/2020GL090964
2021Kuipers, K.J.J., R. May, and F. Verones. 2021. Considering habitat conversion and fragmentation in characterisation factors for land-use impacts on vertebrate species richness. Science of The Total Environment. 801:149737. https://doi.org/10.1016/j.scitotenv.2021.149737
2021Linyucheva, A. and P. Kindlmann. 2021. A review of global land cover maps in terms of their potential use for habitat suitability modelling. EUROPEAN JOURNAL OF ENVIRONMENTAL SCIENCES. 11(1):46-61. https://doi.org/10.14712/23361964.2021.6
2021Randazzo, N.A., A.M. Michalak, C.E. Miller, S.M. Miller, Y.P. Shiga, and Y. Fang. 2021. Higher Autumn Temperatures Lead to Contrasting CO 2 Flux Responses in Boreal Forests Versus Tundra and Shrubland . Geophysical Research Letters. 48(18):. https://doi.org/10.1029/2021GL093843
2021Son, R., H. Kim, S.Y.S. Wang, J.H. Jeong, S.H. Woo, J.Y. Jeong, B.D. Lee, S.H. Kim, M. LaPlante, C.G. Kwon, and J.H. Yoon. 2021. Changes in fire weather climatology under 1.5 degC and 2.0 degC warming. Environmental Research Letters. 16(3):034058. https://doi.org/10.1088/1748-9326/abe675
2021Thompson, D.R., P.G. Brodrick, K. Cawse-Nicholson, K. Dana Chadwick, R.O. Green, B. Poulter, S. Serbin, A.N. Shiklomanov, P.A. Townsend, and K.R. Turpie. 2021. Spectral Fidelity of Earth's Terrestrial and Aquatic Ecosystems. Journal of Geophysical Research: Biogeosciences. 126(8):. https://doi.org/10.1029/2021JG006273
2021Wei, X., M. Widgren, B. Li, Y. Ye, X. Fang, C. Zhang, and T. Chen. 2021. Dataset of 1 km cropland cover from 1690 to 1999 in Scandinavia. Earth System Science Data. 13(6):3035-3056. https://doi.org/10.5194/essd-13-3035-2021
2021Yang, Y., T.R. McVicar, D. Yang, Y. Zhang, S. Piao, S. Peng, and H.E. Beck. 2021. Low and contrasting impacts of vegetation CO<sub>2</sub> fertilization on global terrestrial runoff over 1982-2010: accounting for aboveground and belowground vegetation-CO<sub>2</sub> effects. Hydrology and Earth System Sciences. 25(6):3411-3427. https://doi.org/10.5194/hess-25-3411-2021
2021Yao, P.J., D.Y. Gong, and M. Meng. 2021. Changes in spring vegetation greenness over Siberia associated with weather disturbances during 1982-2015. International Journal of Climatology. https://doi.org/10.1002/joc.7095
2021Zhu, D., E.D. Galbraith, V. Reyes-Garcia, and P. Ciais. 2021. Global hunter-gatherer population densities constrained by influence of seasonality on diet composition. Nature Ecology & Evolution. 5(11):1536-1545. https://doi.org/10.1038/s41559-021-01548-3
2020Doi, T., G. Sakurai, and T. Iizumi. 2020. Seasonal Predictability of Four Major Crop Yields Worldwide by a Hybrid System of Dynamical Climate Prediction and Eco-Physiological Crop-Growth Simulation. Frontiers in Sustainable Food Systems. 4:. https://doi.org/10.3389/fsufs.2020.00084
2020Munchak, S.J., S. Ringerud, L. Brucker, Y. You, I. de Gelis, and C. Prigent. 2020. An Active-Passive Microwave Land Surface Database From GPM. IEEE Transactions on Geoscience and Remote Sensing. 58(9):6224-6242. https://doi.org/10.1109/TGRS.2020.2975477
2020Phrampus, B.J., T.R. Lee, and W.T. Wood. 2020. A Global Probabilistic Prediction of Cold Seeps and Associated SEAfloor FLuid Expulsion Anomalies (SEAFLEAs). Geochemistry, Geophysics, Geosystems. 21(1). https://doi.org/10.1029/2019GC008747
2020Restreppo, G.A., W.T. Wood, and B.J. Phrampus. 2020. Oceanic sediment accumulation rates predicted via machine learning algorithm: towards sediment characterization on a global scale. Geo-Marine Letters. 40(5):755-763. https://doi.org/10.1007/s00367-020-00669-1
2020Rinnan, R., L.L. Iversen, J. Tang, I. Vedel-Petersen, M. Schollert, and G. Schurgers. 2020. Separating direct and indirect effects of rising temperatures on biogenic volatile emissions in the Arctic. Proceedings of the National Academy of Sciences. 117(51):32476-32483. https://doi.org/10.1073/pnas.2008901117
2020Stahl, M.O., J. Gehring, and Y. Jameel. 2020. Isotopic variation in groundwater across the conterminous United States - Insight into hydrologic processes . Hydrological Processes. 34(16):3506-3523. https://doi.org/10.1002/hyp.13832
2020Tian, X., F. Minunno, T. Cao, M. Peltoniemi, T. Kalliokoski, and A. Makela. 2020. Extending the range of applicability of the semi-empirical ecosystem flux model PRELES for varying forest types and climate. Global Change Biology. 26(5):2923-2943. https://doi.org/10.1111/gcb.14992
2020van Natijne, A.L., R.C. Lindenbergh, and T.A. Bogaard. 2020. Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting. Sensors. 20(5):1425. https://doi.org/10.3390/s20051425
2020Wenne, R., M. Zbawicka, L. Bach, P. Strelkov, M. Gantsevich, P. Kuklinski, T. Kijewski, J.H. McDonald, K.K. Sundsaasen, M. Arnyasi, S. Lien, A. Kaasik, K. Herkul, and J. Kotta. 2020. Trans-Atlantic Distribution and Introgression as Inferred from Single Nucleotide Polymorphism: Mussels Mytilus and Environmental Factors. Genes. 11(5):530. https://doi.org/10.3390/genes11050530
2020Wu, G., K. Guan, Y. Li, K.A. Novick, X. Feng, N.G. McDowell, A.G. Konings, S.E. Thompson, J.S. Kimball, M.G. De Kauwe, E.A. Ainsworth, and C. Jiang. 2020. Interannual variability of ecosystem iso/anisohydry is regulated by environmental dryness. New Phytologist. 229(5):2562-2575. https://doi.org/10.1111/nph.17040
2020Y Ryu, H-S Ji, S-O, Hwang, J LeeApplication of a Method Estimating Grid Runoff for a Global High-Resolution Hydrodynamic Model. Atmosphere. 30(2):155-167. https://doi.org/10.14191/Atmos.2020.30.2.155
2019Alipour, M.H. and K.M. Kibler. 2019. Streamflow prediction under extreme data scarcity: a step toward hydrologic process understanding within severely data-limited regions. Hydrological Sciences Journal. 64(9):1038-1055. https://doi.org/10.1080/02626667.2019.1626991
2019Evaristo, J. and J.J. McDonnell. 2019. Global analysis of streamflow response to forest management. Nature. 570(7762):455-461. https://doi.org/10.1038/s41586-019-1306-0
2019Falk, S. and A. Sovde Haslerud. 2019. Update and evaluation of the ozone dry deposition in Oslo CTM3 v1.0. Geoscientific Model Development. 12(11):4705-4728. https://doi.org/10.5194/gmd-12-4705-2019
2019Heinke, J., C. Muller, M. Lannerstad, D. Gerten, and W. Lucht. 2019. Freshwater resources under success and failure of the Paris climate agreement. Earth System Dynamics. 10(2):205-217. https://doi.org/10.5194/esd-10-205-2019
2019Hostetler, S., R. Reker, J. Alder, T. Loveland, D. Willard, C. Bernhardt, E. Sundquist, and R. Thompson. 2019. Application of a Regional Climate Model to Assess Changes in the Climatology of the Eastern United States and Cuba Associated With Historic Land Cover Change. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2019JD030965
2019Norton, A.J., P.J. Rayner, E.N. Koffi, M. Scholze, J.D. Silver, and Y.P. Wang. 2019. Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model. Biogeosciences. 16(15):3069-3093. https://doi.org/10.5194/bg-16-3069-2019
2019Peltola, O., T. Vesala, Y. Gao, O. Raty, P. Alekseychik, M. Aurela, B. Chojnicki, A.R. Desai, A.J. Dolman, E.S. Euskirchen, T. Friborg, M. Gockede, M. Helbig, E. Humphreys, R.B. Jackson, G. Jocher, F. Joos, J. Klatt, S.H. Knox, L. Kutzbach, S. Lienert, A. Lohila, I. Mammarella, D.F. Nadeau, M.B. Nilsson, W.C. Oechel, M. Peichl, T. Pypker, W. Quinton, J. Rinne, T. Sachs, M. Samson, H.P. Schmid, O. Sonnentag, C. Wille, D. Zona, and T. Aalto. 2019. Monthly Gridded Data Product of Northern Wetland Methane Emissions Based on Upscaling Eddy Covariance Observations. Earth System Science Data Discussions. 1-50. https://doi.org/10.5194/essd-2019-28
2019Peltola, O., T. Vesala, Y. Gao, O. Raty, P. Alekseychik, M. Aurela, B. Chojnicki, A.R. Desai, A.J. Dolman, E.S. Euskirchen, T. Friborg, M. Gockede, M. Helbig, E. Humphreys, R.B. Jackson, G. Jocher, F. Joos, J. Klatt, S.H. Knox, N. Kowalska, L. Kutzbach, S. Lienert, A. Lohila, I. Mammarella, D.F. Nadeau, M.B. Nilsson, W.C. Oechel, M. Peichl, T. Pypker, W. Quinton, J. Rinne, T. Sachs, M. Samson, H.P. Schmid, O. Sonnentag, C. Wille, D. Zona, and T. Aalto. 2019. Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations. Earth System Science Data. 11(3):1263-1289. https://doi.org/10.5194/essd-11-1263-2019
2019Polissar, P.J., C. Rose, K.T. Uno, S.R. Phelps, and P. deMenocal. 2019. Synchronous rise of African C4 ecosystems 10 million years ago in the absence of aridification. Nature Geoscience. 12(8):657-660. https://doi.org/10.1038/s41561-019-0399-2
2019Ratnam, J., C. Sheth, and M. Sankaran. 2019. African and Asian Savannas. 25-49. https://doi.org/10.1002/9781119081111.ch2
2019Sircely, J., R.T. Conant, and R.B. Boone. 2019. Simulating Rangeland Ecosystems with G-Range: Model Description and Evaluation at Global and Site Scales. Rangeland Ecology & Management. 72(5):846-857. https://doi.org/10.1016/j.rama.2019.03.002
2019Wu, S., Z. Liang, and S. Li. 2019. Relationships between urban development level and urban vegetation states: A global perspective. Urban Forestry & Urban Greening. 38:215-222. https://doi.org/10.1016/j.ufug.2018.12.010
2019Xu, G. and B. Chen. 2019. Generating a series of land covers by assimilating the existing land cover maps. ISPRS Journal of Photogrammetry and Remote Sensing. 147:206-214. https://doi.org/10.1016/j.isprsjprs.2018.11.018
2019YJ SuhContrasting Sources of Plant Wax n-alkanes and n-alkanoic Acids in Gulf og Mexico Sediments (ODP 625B). Ocean and Polar Research. 41(2):89-97. https://doi.org/10.4217/OPR.2019.41.2.089
2018Chen, Z. 2018. https://doi.org/10.1007/978-981-10-7703-6
2018Famiglietti, C.A., J.B. Fisher, G. Halverson, and E.E. Borbas. 2018. Global Validation of MODIS Near-Surface Air and Dew Point Temperatures. Geophysical Research Letters. 45(15):7772-7780. https://doi.org/10.1029/2018GL077813
2018Georgievski, G. and S. Hagemann. 2018. Characterizing uncertainties in the ESA-CCI land cover map of the epoch 2010 and their impacts on MPI-ESM climate simulations. Theoretical and Applied Climatology. https://doi.org/10.1007/s00704-018-2675-2
2018Halder, S., P.A. Dirmeyer, L. Marx, and J.L. Kinter. 2018. Impact of Land Surface Initialization and Land-Atmosphere Coupling on the Prediction of the Indian Summer Monsoon with the CFSv2. Frontiers in Environmental Science. 5:. https://doi.org/10.3389/fenvs.2017.00092
2018Hody, J.W. and R. Kays. 2018. Mapping the expansion of coyotes (Canis latrans) across North and Central America. ZooKeys. 759:81-97. https://doi.org/10.3897/zookeys.759.15149
2018Huss, M. and R. Hock. 2018. Global-scale hydrological response to future glacier mass loss. Nature Climate Change. 8(2):135-140. https://doi.org/10.1038/s41558-017-0049-x
2018Klingmuller, K., S. Metzger, M. Abdelkader, V.A. Karydis, G.L. Stenchikov, A. Pozzer, and J. Lelieveld. 2018. Revised mineral dust emissions in the atmospheric chemistry-climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch). Geoscientific Model Development. 11(3):989-1008. https://doi.org/10.5194/gmd-11-989-2018
2018Le, T.P.Q., N.D. Le, V.N. Dao, E. Rochelle-Newall, T.M.H. Nguyen, C. Marchand, T.T. Duong, and T.X.B. Phung. 2018. Change in carbon flux (1960-2015) of the Red River (Vietnam). Environmental Earth Sciences. 77(18):. https://doi.org/10.1007/s12665-018-7851-2
2018Lu, W., S. Wang, K.M. Yeager, F. Liu, Q. Huang, Y. Yang, P. Xiang, Y. Lu, and C.q. Liu. 2018. Importance of Considered Organic Versus Inorganic Source of Carbon to Lakes for Calculating Net Effect on Landscape C Budgets. Journal of Geophysical Research: Biogeosciences. 123(4):1302-1317. https://doi.org/10.1002/2017JG004159
2018Lv, M., Z. Ma, and M. Lv. 2018. Effects of Climate/Land Surface Changes on Streamflow With Consideration of Precipitation Intensity and Catchment Characteristics in the Yellow River Basin. Journal of Geophysical Research: Atmospheres. 123(4):1942-1958. https://doi.org/10.1002/2017JD027625
2018Lv, M., Z. Ma, and M. Lv. 2018. Effects of Climate/Land Surface Changes on Streamflow With Consideration of Precipitation Intensity and Catchment Characteristics in the Yellow River Basin. Journal of Geophysical Research: Atmospheres. 123(4):1942-1958. https://doi.org/10.1002/2017JD027625
2018Mohan, C., A.W. Western, Y. Wei, and M. Saft. 2018. Predicting groundwater recharge for varying land cover and climate conditions – a global meta-study. Hydrology and Earth System Sciences. 22(5):2689-2703. https://doi.org/10.5194/hess-22-2689-2018
2018Sankelo, P., K. Kawamura, O. Seki, H. Shibata, and J. Bendle. 2018. n-Alkanes in Fresh Snow in Hokkaido, Japan: Implications for Ice Core Studies. Arctic, Antarctic, and Alpine Research. 45(1):119-131. https://doi.org/10.1657/1938-4246-45.1.119
2018Snell, K.R.S., B.G. Stokke, A. Moksnes, K. Thorup, and F. Fossoy. 2018. From Svalbard to Siberia: Passerines breeding in the High Arctic also endure the extreme cold of the Western Steppe. PLOS ONE. 13(9):e0202114. https://doi.org/10.1371/journal.pone.0202114
2018Sorensson, A.A. and R.C. Ruscica. 2018. Intercomparison and Uncertainty Assessment of Nine Evapotranspiration Estimates Over South America. Water Resources Research. 54(4):2891-2908. https://doi.org/10.1002/2017WR021682
2018Sun, Y., C. Frankenberg, M. Jung, J. Joiner, L. Guanter, P. Kohler, and T. Magney. 2018. Overview of Solar-Induced chlorophyll Fluorescence (SIF) from the Orbiting Carbon Observatory-2: Retrieval, cross-mission comparison, and global monitoring for GPP. Remote Sensing of Environment. 209:808-823. https://doi.org/10.1016/j.rse.2018.02.016
2018van Zelm, R., M. van der Velde, J. Balkovic, M. Cengic, P.M.F. Elshout, T. Koellner, M. Nunez, M. Obersteiner, E. Schmid, and M.A.J. Huijbregts. 2018. Spatially explicit life cycle impact assessment for soil erosion from global crop production. Ecosystem Services. 30:220-227. https://doi.org/10.1016/j.ecoser.2017.08.015
2018von Bloh, W., S. Schaphoff, C. Müller, S. Rolinski, K. Waha, and S. Zaehle. 2018. Implementing the nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model LPJmL (version 5.0). Geoscientific Model Development. 11(7):2789-2812. https://doi.org/10.5194/gmd-11-2789-2018
2018Wehrli, K., B.P. Guillod, M. Hauser, M. Leclair, and S.I. Seneviratne. 2018. Assessing the Dynamic Versus Thermodynamic Origin of Climate Model Biases. Geophysical Research Letters. https://doi.org/10.1029/2018GL079220
2018Werner, C., H.P. Schmidt, D. Gerten, W. Lucht, and C. Kammann. 2018. Biogeochemical potential of biomass pyrolysis systems for limiting global warming to 1.5 degC. Environmental Research Letters. 13(4):044036. https://doi.org/10.1088/1748-9326/aabb0e
2018Yu, H., B. Zhang, and Z. Wang. 2018. Comparative Study on Changes of Croplands Between North Korea and South Korea During 1990-2015. Chinese Geographical Science. 28(6):920-934. https://doi.org/10.1007/s11769-018-0985-z
2018Zhang, W., P.A. Miller, C. Jansson, P. Samuelsson, J. Mao, and B. Smith. 2018. Self-Amplifying Feedbacks Accelerate Greening and Warming of the Arctic. Geophysical Research Letters. 45(14):7102-7111. https://doi.org/10.1029/2018GL077830
2017Bonetti, S., X. Feng, and A. Porporato. 2017. Ecohydrological controls on plant diversity in tropical South America. Ecohydrology. 10(6):e1853. https://doi.org/10.1002/eco.1853
2017Boone, R.B., R.T. Conant, J. Sircely, P.K. Thornton, and M. Herrero. 2017. Climate change impacts on selected global rangeland ecosystem services. Global Change Biology. 24(3):1382-1393. https://doi.org/10.1111/gcb.13995
2017Evans, J.P., X. Meng, and M.F. McCabe. 2017. Land surface albedo and vegetation feedbacks enhanced the millennium drought in south-east Australia. Hydrology and Earth System Sciences. 21(1):409-422. https://doi.org/10.5194/hess-21-409-2017
2017Evaristo, J. and J.J. McDonnell. 2017. Prevalence and magnitude of groundwater use by vegetation: a global stable isotope meta-analysis. Scientific Reports. 7(1):. https://doi.org/10.1038/srep44110
2017Fantino, E., R.M. Flores, M. Di Carlo, A. Di Salvo, and E. Cabot. 2017. Geosynchronous inclined orbits for high-latitude communications. Acta Astronautica. 140:570-582. https://doi.org/10.1016/j.actaastro.2017.09.014
2017Fetzel, T., P. Havlik, M. Herrero, and K.H. Erb. 2017. Seasonality constraints to livestock grazing intensity. Global Change Biology. 23(4):1636-1647. https://doi.org/10.1111/gcb.13591
2017Friedman, N.R. and V. Remes. 2017. Ecogeographical gradients in plumage coloration among Australasian songbird clades. Global Ecology and Biogeography. 26(3):261-274. https://doi.org/10.1111/geb.12522
2017Griffiths, J.R., M. Kadin, F.J.A. Nascimento, T. Tamelander, A. Tornroos, S. Bonaglia, E. Bonsdorff, V. Bruchert, A. Gardmark, M. Jarnstrom, J. Kotta, M. Lindegren, M.C. Nordstrom, A. Norkko, J. Olsson, B. Weigel, R. Zydelis, T. Blenckner, S. Niiranen, and M. Winder. 2017. The importance of benthic-pelagic coupling for marine ecosystem functioning in a changing world. Global Change Biology. 23(6):2179-2196. https://doi.org/10.1111/gcb.13642
2017Hashimoto, S., K. Nanko, B. Tupek, and A. Lehtonen. 2017. Data-mining analysis of the global distribution of soil carbon in observational databases and Earth system models. Geoscientific Model Development. 10(3):1321-1337. https://doi.org/10.5194/gmd-10-1321-2017
2017Hashimoto, S., K. Nanko, B. Tupek, and A. Lehtonen. 2017. Data-mining analysis of the global distribution of soil carbon in observational databases and Earth system models. Geoscientific Model Development. 10(3):1321-1337. https://doi.org/10.5194/gmd-10-1321-2017
2017Hashimoto, S., K. Nanko, B. Tupek, and A. Lehtonen. 2017. Data-mining analysis of the global distribution of soil carbon in observational databases and Earth system models. Geoscientific Model Development. 10(3):1321-1337. https://doi.org/10.5194/gmd-10-1321-2017
2017Hashimoto, S., K. Nanko, B. Tupek, and A. Lehtonen. 2017. Data-mining analysis of the global distribution of soil carbon in observational databases and Earth system models. Geoscientific Model Development. 10(3):1321-1337. https://doi.org/10.5194/gmd-10-1321-2017
2017Hashimoto, S., K. Nanko, B. Tupek, and A. Lehtonen. 2017. Data-mining analysis of the global distribution of soil carbon in observational databases and Earth system models. Geoscientific Model Development. 10(3):1321-1337. https://doi.org/10.5194/gmd-10-1321-2017
2017Hashimoto, S., K. Nanko, B. Tupek, and A. Lehtonen. 2017. Data-mining analysis of the global distribution of soil carbon in observational databases and Earth system models. Geoscientific Model Development. 10(3):1321-1337. https://doi.org/10.5194/gmd-10-1321-2017
2017He, Y., Z.a. Sun, G. Shi, J. Liu, and J. Li. 2017. Modification of the SUNFLUX solar radiation scheme with a new aerosol parameterization and its validation using observation network data. Advances in Atmospheric Sciences. 34(11):1301-1315. https://doi.org/10.1007/s00376-016-6262-0
2017Hilton, T.W., M.E. Whelan, A. Zumkehr, S. Kulkarni, J.A. Berry, I.T. Baker, S.A. Montzka, C. Sweeney, B.R. Miller, and J. Elliott Campbell. 2017. Peak growing season gross uptake of carbon in North America is largest in the Midwest USA. Nature Climate Change. 7(6):450-454. https://doi.org/10.1038/nclimate3272
2017Hobbie, E.A., B.A. Schubert, J.M. Craine, E. Linder, and A. Pringle. 2017. Increased C3productivity in Midwestern lawns since 1982 revealed by carbon isotopes inAmanita thiersii. Journal of Geophysical Research: Biogeosciences. 122(2):280-288. https://doi.org/10.1002/2016JG003579
2017Hua, W., H. Chen, L. Zhou, Z. Xie, M. Qin, X. Li, H. Ma, Q. Huang, and S. Sun. 2017. Observational Quantification of Climatic and Human Influences on Vegetation Greening in China. Remote Sensing. 9(5):425. https://doi.org/10.3390/rs9050425
2017Huang, T.H., C.T.A. Chen, H.C. Tseng, J.Y. Lou, S.L. Wang, L. Yang, S. Kandasamy, X. Gao, J.T. Wang, E. Aldrian, G.S. Jacinto, G.Z. Anshari, P. Sompongchaiyakul, and B.J. Wang. 2017. Riverine carbon fluxes to the South China Sea. Journal of Geophysical Research: Biogeosciences. 122(5):1239-1259. https://doi.org/10.1002/2016JG003701
2017Kaminski, T., M. Scholze, M. Vossbeck, W. Knorr, M. Buchwitz, and M. Reuter. 2017. Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide. Remote Sensing of Environment. 203:109-124. https://doi.org/10.1016/j.rse.2017.08.017
2017Kim, J.B., E. Monier, B. Sohngen, G.S. Pitts, R. Drapek, J. McFarland, S. Ohrel, and J. Cole. 2017. Assessing climate change impacts, benefits of mitigation, and uncertainties on major global forest regions under multiple socioeconomic and emissions scenarios. Environmental Research Letters. 12(4):045001. https://doi.org/10.1088/1748-9326/aa63fc
2017Kocman, D., S. Wilson, H. Amos, K. Telmer, F. Steenhuisen, E. Sunderland, R. Mason, P. Outridge, and M. Horvat. 2017. Toward an Assessment of the Global Inventory of Present-Day Mercury Releases to Freshwater Environments. International Journal of Environmental Research and Public Health. 14(2):138. https://doi.org/10.3390/ijerph14020138
2017Li, H. and Y. Zhang. 2017. Regionalising rainfall-runoff modelling for predicting daily runoff: Comparing gridded spatial proximity and gridded integrated similarity approaches against their lumped counterparts. Journal of Hydrology. 550:279-293. https://doi.org/10.1016/j.jhydrol.2017.05.015
2017Li, X., C.R. Vernon, M.I. Hejazi, R.P. Link, L. Feng, Y. Liu, and L.T. Rauchenstein. 2017. Xanthos - A Global Hydrologic Model. Journal of Open Research Software. 5:. https://doi.org/10.5334/jors.181
2017Lu, X., Y.P. Wang, I.J. Wright, P.B. Reich, Z. Shi, and Y. Dai. 2017. Incorporation of plant traits in a land surface model helps explain the global biogeographical distribution of major forest functional types. Global Ecology and Biogeography. 26(3):304-317. https://doi.org/10.1111/geb.12535
2017Ma, J., H.H. Shugart, X. Yan, C. Cao, S. Wu, and J. Fang. 2017. Evaluating carbon fluxes of global forest ecosystems by using an individual tree-based model FORCCHN. Science of The Total Environment. 586:939-951. https://doi.org/10.1016/j.scitotenv.2017.02.073
2017Martin, A.E., A. Desrochers, and L. Fahrig. 2017. Homogenization of dispersal ability across bird species in response to landscape change. Oikos. 126(7):996-1003. https://doi.org/10.1111/oik.03859
2017Padron, R.S., L. Gudmundsson, P. Greve, and S.I. Seneviratne. 2017. Large-Scale Controls of the Surface Water Balance Over Land: Insights From a Systematic Review and Meta-Analysis. Water Resources Research. 53(11):9659-9678. https://doi.org/10.1002/2017WR021215
2017Paudel, B., Y. Zhang, S. Li, and X. Wu. 2017. Spatiotemporal reconstruction of agricultural land cover in Nepal from 1970 to 2010. Regional Environmental Change. 17(8):2349-2357. https://doi.org/10.1007/s10113-017-1164-y
2017Rigden, A. J. (2017) Sources of variation in multi-decadal water fluxes inferred from weather station data. Boston University(957):. https://hdl.handle.net/2144/27166
2017Schneider, U., P. Finger, A. Meyer-Christoffer, E. Rustemeier, M. Ziese, and A. Becker. 2017. Evaluating the Hydrological Cycle over Land Using the Newly-Corrected Precipitation Climatology from the Global Precipitation Climatology Centre (GPCC). Atmosphere. 8(12):52. https://doi.org/10.3390/atmos8030052
2017Semeniuk, K. and A. Dastoor. 2017. Development of a global ocean mercury model with a methylation cycle: outstanding issues. Global Biogeochemical Cycles. https://doi.org/10.1002/2016GB005452
2017Yang, H., F. Zhou, S. Piao, M. Huang, A. Chen, P. Ciais, Y. Li, X. Lian, S. Peng, and Z. Zeng. 2017. Regional patterns of future runoff changes from Earth system models constrained by observation. Geophysical Research Letters. 44(11):5540-5549. https://doi.org/10.1002/2017GL073454
2017Yuan, C., Y. Ye, C. Tang, and X. Fang. 2017. Accuracy comparison of gridded historical cultivated land data in Jiangsu and Anhui provinces. Chinese Geographical Science. 27(2):273-285. https://doi.org/10.1007/s11769-017-0862-1
2016Buitenwerf, R. and S.I. Higgins. 2016. Convergence among global biogeographical realms in the physiological niche of evergreen and deciduous vegetation. Global Ecology and Biogeography. 25(6):704-715. https://doi.org/10.1111/geb.12447
2016Chen, B., X. Cui, and Y. Wang. 2016. Regional prediction of carbon isotopes in soil carbonates for Asian dust source tracer. Atmospheric Environment. 142:1-8. https://doi.org/10.1016/j.atmosenv.2016.07.029
2016Emery, C.M., S. Biancamaria, A. Boone, P.A. Garambois, S. Ricci, M.C. Rochoux, and B. Decharme. 2016. Temporal Variance-Based Sensitivity Analysis of the River-Routing Component of the Large-Scale Hydrological Model ISBA-TRIP: Application on the Amazon Basin. Journal of Hydrometeorology. 17(12):3007-3027. https://doi.org/10.1175/JHM-D-16-0050.1
2016Erguler, K., S.E. Smith-Unna, J. Waldock, Y. Proestos, G.K. Christophides, J. Lelieveld, and P.E. Parham. 2016. Large-Scale Modelling of the Environmentally-Driven Population Dynamics of Temperate Aedes albopictus (Skuse). PLOS ONE. 11(2):e0149282. https://doi.org/10.1371/journal.pone.0149282
2016Ganguli, P. and A.R. Ganguly. 2016. Robustness of Meteorological Droughts in Dynamically Downscaled Climate Simulations. JAWRA Journal of the American Water Resources Association. 52(1):138-167. https://doi.org/10.1111/1752-1688.12374
2016Jelinski, N.A. and K. Yoo. 2016. The distribution and genesis of eroded phase soils in the conterminous United States. Geoderma. 279:149-164. https://doi.org/10.1016/j.geoderma.2016.05.015
2016Jiao, C., G. Yu, N. He, A. Ma, J. Ge, and Z. Hu. 2016. Spatial pattern of grassland aboveground biomass and its environmental controls in the Eurasian steppe. Journal of Geographical Sciences. 27(1):3-22. https://doi.org/10.1007/s11442-017-1361-0
2016Kotta, J., H. Orav-Kotta, H. Janes, H. Hummel, C. Arvanitidis, P. Van Avesaath, G. Bachelet, L. Benedetti-Cecchi, N. Bojanic, S. Como, S. Coppa, J. Coughlan, T. Crowe, M. Dal Bello, S. Degraer, J.A.J. De La Pena, V.K. Fernandes De Matos, F. Espinosa, S. Faulwetter, M. Frost, X. Guinda, E. Jankowska, J. Jourde, F. Kerckhof, N. Lavesque, J.C. Leclerc, P. Magni, C. Pavloudi, M.L. Pedrotti, O. Peleg, A. Perez-Ruzafa, A. Puente, P. Ribeiro, G. Rilov, M. Rousou, T. Ruginis, T. Silva, N. Simon, I. Sousa-Pinto, J. Troncoso, J. Warzocha, and J.M. Weslawski. 2016. Essence of the patterns of cover and richness of intertidal hard bottom communities: a pan-European study. Journal of the Marine Biological Association of the United Kingdom. 97(03):525-538. https://doi.org/10.1017/S0025315416001351
2016Kotta, J., H. Orav-Kotta, H. Janes, H. Hummel, C. Arvanitidis, P. Van Avesaath, G. Bachelet, L. Benedetti-Cecchi, N. Bojanic, S. Como, S. Coppa, J. Coughlan, T. Crowe, M. Dal Bello, S. Degraer, J.A.J. De La Pena, V.K. Fernandes De Matos, F. Espinosa, S. Faulwetter, M. Frost, X. Guinda, E. Jankowska, J. Jourde, F. Kerckhof, N. Lavesque, J.C. Leclerc, P. Magni, C. Pavloudi, M.L. Pedrotti, O. Peleg, A. Perez-Ruzafa, A. Puente, P. Ribeiro, G. Rilov, M. Rousou, T. Ruginis, T. Silva, N. Simon, I. Sousa-Pinto, J. Troncoso, J. Warzocha, and J.M. Weslawski. 2016. Essence of the patterns of cover and richness of intertidal hard bottom communities: a pan-European study. Journal of the Marine Biological Association of the United Kingdom. 97(03):525-538. https://doi.org/10.1017/S0025315416001351
2016MacDougall, A.H. and R. Knutti. 2016. Projecting the release of carbon from permafrost soils using a perturbed parameter ensemble modelling approach. Biogeosciences. 13(7):2123-2136. https://doi.org/10.5194/bg-13-2123-2016
2016Nakayama, T. 2016. New perspective for eco-hydrology model to constrain missing role of inland waters on boundless biogeochemical cycle in terrestrial-aquatic continuum. Ecohydrology & Hydrobiology. 16(3):138-148. https://doi.org/10.1016/j.ecohyd.2016.07.002
2016Nevison, C., P. Hess, S. Riddick, and D. Ward. 2016. Denitrification, leaching, and river nitrogen export in the Community Earth System Model. Journal of Advances in Modeling Earth Systems. 8(1):272-291. https://doi.org/10.1002/2015MS000573
2016Puzachenko, Y.G., R.B. Sandlersky, and A.G. Sankovski. 2016. Analysis of spatial and temporal organization of biosphere using solar reflectance data from MODIS satellite. Ecological Modelling. 341:27-36. https://doi.org/10.1016/j.ecolmodel.2016.09.022
2016Schaub, G. and T. Turek. 2016. Energy Balance of the Earth. 53-81. https://doi.org/10.1007/978-3-319-29495-7_3
2016Tian, H., C. Lu, P. Ciais, A.M. Michalak, J.G. Canadell, E. Saikawa, D.N. Huntzinger, K.R. Gurney, S. Sitch, B. Zhang, J. Yang, P. Bousquet, L. Bruhwiler, G. Chen, E. Dlugokencky, P. Friedlingstein, J. Melillo, S. Pan, B. Poulter, R. Prinn, M. Saunois, C.R. Schwalm, and S.C. Wofsy. 2016. The terrestrial biosphere as a net source of greenhouse gases to the atmosphere. Nature. 531(7593):225-228. https://doi.org/10.1038/nature16946
2016Van den Hoof, C. and F. Lambert. 2016. Mitigation of drought negative effect on ecosystem productivity by vegetation mixing. Journal of Geophysical Research: Biogeosciences. 121(10):2667-2683. https://doi.org/10.1002/2016JG003625
2016Venter, O., E.W. Sanderson, A. Magrach, J.R. Allan, J. Beher, K.R. Jones, H.P. Possingham, W.F. Laurance, P. Wood, B.M. Fekete, M.A. Levy, and J.E.M. Watson. 2016. Global terrestrial Human Footprint maps for 1993 and 2009. Scientific Data. 3:160067. https://doi.org/10.1038/sdata.2016.67
2016Wang-Erlandsson, L., W.G.M. Bastiaanssen, H. Gao, J. Jagermeyr, G.B. Senay, A.I.J.M. van Dijk, J.P. Guerschman, P.W. Keys, L.J. Gordon, and H.H.G. Savenije. 2016. Global root zone storage capacity from satellite-based evaporation. Hydrology and Earth System Sciences. 20(4):1459-1481. https://doi.org/10.5194/hess-20-1459-2016
2016Wang, W., A. Rinke, J.C. Moore, X. Cui, D. Ji, Q. Li, N. Zhang, C. Wang, S. Zhang, D.M. Lawrence, A.D. McGuire, W. Zhang, C. Delire, C. Koven, K. Saito, A. MacDougall, E. Burke, and B. Decharme. 2016. Diagnostic and model dependent uncertainty of simulated Tibetan permafrost area. The Cryosphere. 10(1):287-306. https://doi.org/10.5194/tc-10-287-2016
2016Willeit, M. and A. Ganopolski. 2016. PALADYN v1.0, a comprehensive land surface-vegetation-carbon cycle model of intermediate complexity. Geoscientific Model Development. 9(10):3817-3857. https://doi.org/10.5194/gmd-9-3817-2016
2016Yan, H., S.Q. Wang, J.B. Wang, H.Q. Lu, A.H. Guo, Z.C. Zhu, R.B. Myneni, and H.H. Shugart. 2016. Assessing spatiotemporal variation of drought in China and its impact on agriculture during 1982-2011 by using PDSI indices and agriculture drought survey data. Journal of Geophysical Research: Atmospheres. 121(5):2283-2298. https://doi.org/10.1002/2015JD024285
2016Yang, Y., R.J. Donohue, and T.R. McVicar. 2016. Global estimation of effective plant rooting depth: Implications for hydrological modeling. Water Resources Research. 52(10):8260-8276. https://doi.org/10.1002/2016WR019392
2016Yang, Y., R.J. Donohue, and T.R. McVicar. 2016. Global estimation of effective plant rooting depth: Implications for hydrological modeling. Water Resources Research. 52(10):8260-8276. https://doi.org/10.1002/2016WR019392
2016Zhang, Y., J.L. Pena-Arancibia, T.R. McVicar, F.H.S. Chiew, J. Vaze, C. Liu, X. Lu, H. Zheng, Y. Wang, Y.Y. Liu, D.G. Miralles, and M. Pan. 2016. Multi-decadal trends in global terrestrial evapotranspiration and its components. Scientific Reports. 6(1):. https://doi.org/10.1038/srep19124
2015Bao, Y., Y. Gao, S. Lu, Q. Wang, S. Zhang, J. Xu, R. Li, S. Li, D. Ma, X. Meng, H. Chen, and Y. Chang. 2015. Evaluation of CMIP5 earth system models in reproducing leaf area index and vegetation cover over the Tibetan Plateau. Journal of Meteorological Research. 28(6):1041-1060. https://doi.org/10.1007/s13351-014-4023-5
2015Chaplin-Kramer, R., I. Ramler, R. Sharp, N.M. Haddad, J.S. Gerber, P.C. West, L. Mandle, P. Engstrom, A. Baccini, S. Sim, C. Mueller, and H. King. 2015. Degradation in carbon stocks near tropical forest edges. Nature Communications. 6(1):. https://doi.org/10.1038/ncomms10158
2015Chen, Z., G. Yu, X. Zhu, Q. Wang, S. Niu, and Z. Hu. 2015. Covariation between gross primary production and ecosystem respiration across space and the underlying mechanisms: A global synthesis. Agricultural and Forest Meteorology. 203:180-190. https://doi.org/10.1016/j.agrformet.2015.01.012
2015Fang, K., R. Makkonen, Z. Guo, Y. Zhao, and H. Seppa. 2015. An increase in the biogenic aerosol concentration as a contributing factor to the recent wetting trend in Tibetan Plateau. Scientific Reports. 5(1):. https://doi.org/10.1038/srep14628
2015Garnaud, C. and L. Sushama. 2015. Biosphere-climate interactions in a changing climate over North America. Journal of Geophysical Research: Atmospheres. 120(3):1091-1108. https://doi.org/10.1002/2014JD022055
2015Kujanpaa, J. and N. Kalakoski. 2015. Operational surface UV radiation product from GOME-2 and AVHRR/3 data. Atmospheric Measurement Techniques. 8(10):4399-4414. https://doi.org/10.5194/amt-8-4399-2015
2015Levi, L., F. Jaramillo, R. Andricevic, and G. Destouni. 2015. Hydroclimatic changes and drivers in the Sava River Catchment and comparison with Swedish catchments. Ambio. 44(7):624-634. https://doi.org/10.1007/s13280-015-0641-0
2015Li, H.Y., L.R. Leung, A. Getirana, M. Huang, H. Wu, Y. Xu, J. Guo, and N. Voisin. 2015. Evaluating Global Streamflow Simulations by a Physically Based Routing Model Coupled with the Community Land Model. Journal of Hydrometeorology. 16(2):948-971. https://doi.org/10.1175/JHM-D-14-0079.1
2015Li, S., F. He, and X. Zhang. 2015. A spatially explicit reconstruction of cropland cover in China from 1661 to 1996. Regional Environmental Change. 16(2):417-428. https://doi.org/10.1007/s10113-014-0751-4
2015Ma, J., X. Yan, W. Dong, and J. Chou. 2015. Gross primary production of global forest ecosystems has been overestimated. Scientific Reports. 5(1):. https://doi.org/10.1038/srep10820
2015MacDonald, K., J.B. Smaers, and J. Steele. 2015. Hominin geographical range dynamics and relative brain size: Do non-human primates provide a good analogy?. Journal of Human Evolution. 87:66-77. https://doi.org/10.1016/j.jhevol.2015.05.009
2015Naipal, V., C. Reick, J. Pongratz, and K. Van Oost. 2015. Improving the global applicability of the RUSLE model &ndash; adjustment of the topographical and rainfall erosivity factors. Geoscientific Model Development. 8(9):2893-2913. https://doi.org/10.5194/gmd-8-2893-2015
2015Okada, M., T. Iizumi, G. Sakurai, N. Hanasaki, T. Sakai, K. Okamoto, and M. Yokozawa. 2015. Modeling irrigation-based climate change adaptation in agriculture: Model development and evaluation in Northeast China. Journal of Advances in Modeling Earth Systems. 7(3):1409-1424. https://doi.org/10.1002/2014MS000402
2015Pan, Qian; Jin, Xiaobin; Zhou, Yinkang (2015). Gridding reconstruction of land use pattern in Jiangsu Province in the mid-Qing Dynasty, Acta Geographica Sinica, 70 (9). http://www.geog.com.cn/CN/Y2015/V70/I9/1449
2015Seck, A., C. Welty, and R.M. Maxwell. 2015. Spin-up behavior and effects of initial conditions for an integrated hydrologic model. Water Resources Research. 51(4):2188-2210. https://doi.org/10.1002/2014WR016371
2015Zhu, D., S.S. Peng, P. Ciais, N. Viovy, A. Druel, M. Kageyama, G. Krinner, P. Peylin, C. Ottle, S.L. Piao, B. Poulter, D. Schepaschenko, and A. Shvidenko. 2015. Improving the dynamics of Northern Hemisphere high-latitude vegetation in the ORCHIDEE ecosystem model. Geoscientific Model Development. 8(7):2263-2283. https://doi.org/10.5194/gmd-8-2263-2015
2014Amos, H.M., D.J. Jacob, D. Kocman, H.M. Horowitz, Y. Zhang, S. Dutkiewicz, M. Horvat, E.S. Corbitt, D.P. Krabbenhoft, and E.M. Sunderland. 2014. Global Biogeochemical Implications of Mercury Discharges from Rivers and Sediment Burial. Environmental Science & Technology. 48(16):9514-9522. https://doi.org/10.1021/es502134t
2014Bajzelj, B. and K. Richards. 2014. The Positive Feedback Loop between the Impacts of Climate Change and Agricultural Expansion and Relocation. Land. 3(3):898-916. https://doi.org/10.3390/land3030898#sthash.HQFJs1Ii.dpuf
2014Bajzelj, B., K.S. Richards, J.M. Allwood, P. Smith, J.S. Dennis, E. Curmi, and C.A. Gilligan. 2014. Importance of food-demand management for climate mitigation. Nature Climate Change. 4(10):924-929. https://doi.org/10.1038/nclimate2353
2014Bevan, 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
2014Bevan, 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
2014Bistinas, I., S.P. Harrison, I.C. Prentice, and J.M.C. Pereira. 2014. Causal relationships versus emergent patterns in the global controls of fire frequency. Biogeosciences. 11(18):5087-5101. https://doi.org/10.5194/bg-11-5087-2014
2014Garnaud, C., L. Sushama, and D. Verseghy. 2014. Impact of interactive vegetation phenology on the Canadian RCM simulated climate over North America. Climate Dynamics. 45(5-6):1471-1492. https://doi.org/10.1007/s00382-014-2397-9
2014Garnaud, C., L. Sushama, and V.K. Arora. 2014. The effect of driving climate data on the simulated terrestrial carbon pools and fluxes over North America. International Journal of Climatology. 34(4):1098-1110. https://doi.org/10.1002/joc.3748
2014Guevara, L., V. Sanchez-Cordero, L. Leon-Paniagua, and N. Woodman. 2014. A new species of small-eared shrew (Mammalia, Eulipotyphla,Cryptotis) from the Lacandona rain forest, Mexico. Journal of Mammalogy. 95(4):739-753. https://doi.org/10.1644/14-MAMM-A-018
2014IIZUMI, T., G. SAKURAI, and M. YOKOZAWA. 2014. Contributions of historical changes in sowing date and climate to U.S. maize yield trend: An evaluation using large-area crop modeling and data assimilation. Journal of Agricultural Meteorology. 70(2):73-90. https://doi.org/10.2480/agrmet.D-13-00023
2014Kato, E. and Y. Yamagata. 2014. BECCS capability of dedicated bioenergy crops under a future land-use scenario targeting net negative carbon emissions. Earth's Future. 2(9):421-439. https://doi.org/10.1002/2014EF000249
2014Knorr, W., T. Kaminski, A. Arneth, and U. Weber. 2014. Impact of human population density on fire frequency at the global scale. Biogeosciences. 11(4):1085-1102. https://doi.org/10.5194/bg-11-1085-2014
2014Lee, J.W., S. Ham, S.Y. Hong, K. Yoshimura, and M. Joh. 2014. Future Changes in Surface Runoff over Korea Projected by a Regional Climate Model under A1B Scenario. Advances in Meteorology. 2014:1-8. https://doi.org/10.1155/2014/753790
2014Schneising, O., M. Reuter, M. Buchwitz, J. Heymann, H. Bovensmann, and J.P. Burrows. 2014. Terrestrial carbon sink observed from space: variation of growth rates and seasonal cycle amplitudes in response to interannual surface temperature variability. Atmospheric Chemistry and Physics. 14(1):133-141. https://doi.org/10.5194/acp-14-133-2014
2014Tian, H., K. Banger, T. Bo, and V.K. Dadhwal. 2014. History of land use in India during 1880-2010: Large-scale land transformations reconstructed from satellite data and historical archives. Global and Planetary Change. 121:78-88. https://doi.org/10.1016/j.gloplacha.2014.07.005
2014Volobuev, D.M. and N.G. Makarenko. 2014. Global correlation between surface heat fluxes and insolation in the 11-year solar cycle: The latitudinal effect. Geomagnetism and Aeronomy. 54(7):903-906. https://doi.org/10.1134/S0016793214070172
2014Wagner, F., V. Rossi, M. Aubry-Kientz, D. Bonal, H. Dalitz, R. Gliniars, C. Stahl, A. Trabucco, and B. Herault. 2014. Pan-Tropical Analysis of Climate Effects on Seasonal Tree Growth. PLoS ONE. 9(3):e92337. https://doi.org/10.1371/journal.pone.0092337
2014Yan, H., S.Q. Wang, H.Q. Lu, Q. Yu, Z.C. Zhu, R.B. Myneni, Q. Liu, and H.H. Shugart. 2014. Development of a remotely sensing seasonal vegetation-based Palmer Drought Severity Index and its application of global drought monitoring over 1982-2011. Journal of Geophysical Research: Atmospheres. 119(15):9419-9440. https://doi.org/10.1002/2014JD021673
2014Yu, G., Z. Chen, S. Piao, C. Peng, P. Ciais, Q. Wang, X. Li, and X. Zhu. 2014. High carbon dioxide uptake by subtropical forest ecosystems in the East Asian monsoon region. Proceedings of the National Academy of Sciences. 111(13):4910-4915. https://doi.org/10.1073/pnas.1317065111
2014Zhang, W., C. Jansson, P.A. Miller, B. Smith, and P. Samuelsson. 2014. Biogeophysical feedbacks enhance the Arctic terrestrial carbon sink in regional Earth system dynamics. Biogeosciences. 11(19):5503-5519. https://doi.org/10.5194/bg-11-5503-2014
2013Cottee-Jones H.E.W., Mittermeier, John C, Redding, David W.; (2013) The Moluccan Woodcock Scolopax rochussenii on Obi Island, North Moluccas, Indonesia: a ‘lost’species is less endangered than expected. FORKTAIL. 0 (29): 88-93.
2013Davie, J.C.S., P.D. Falloon, R. Kahana, R. Dankers, R. Betts, F.T. Portmann, D. Wisser, D.B. Clark, A. Ito, Y. Masaki, K. Nishina, B. Fekete, Z. Tessler, Y. Wada, X. Liu, Q. Tang, S. Hagemann, T. Stacke, R. Pavlick, S. Schaphoff, S.N. Gosling, W. Franssen, and N. Arnell. 2013. Comparing projections of future changes in runoff from hydrological and biome models in ISI-MIP. Earth System Dynamics. 4(2):359-374. https://doi.org/10.5194/esd-4-359-2013
2013Feng, S. and Q. Fu. 2013. Expansion of global drylands under a warming climate. Atmospheric Chemistry and Physics. 13(19):10081-10094. https://doi.org/10.5194/acp-13-10081-2013
2013Fortems-Cheiney, A., F. Chevallier, M. Saunois, I. Pison, P. Bousquet, C. Cressot, H.J. Wang, Y. Yokouchi, and F. Artuso. 2013. HCFC-22 emissions at global and regional scales between 1995 and 2010: Trends and variability. Journal of Geophysical Research: Atmospheres. 118(13):7379-7388. https://doi.org/10.1002/jgrd.50544
2013He, F., S. Li, X. Zhang, Q. Ge, and J. Dai. 2013. Comparisons of cropland area from multiple datasets over the past 300 years in the traditional cultivated region of China. Journal of Geographical Sciences. 23(6):978-990. https://doi.org/10.1007/s11442-013-1057-z
2013Kelley, D.I., I.C. Prentice, S.P. Harrison, H. Wang, M. Simard, J.B. Fisher, and K.O. Willis. 2013. A comprehensive benchmarking system for evaluating global vegetation models. Biogeosciences. 10(5):3313-3340. https://doi.org/10.5194/bg-10-3313-2013
2013Liu, S., Y. Wei, W.M. Post, R.B. Cook, K. Schaefer, and M.M. Thornton. 2013. The Unified North American Soil Map and its implication on the soil organic carbon stock in North America. Biogeosciences. 10(5):2915-2930. https://doi.org/10.5194/bg-10-2915-2013
2013Los, S.O. 2013. Analysis of trends in fused AVHRR and MODIS NDVI data for 1982-2006: Indication for a CO2fertilization effect in global vegetation. Global Biogeochemical Cycles. 27(2):318-330. https://doi.org/10.1002/gbc.20027
2013MacDougall, A.H., M. Eby, and A.J. Weaver. 2013. If Anthropogenic CO2Emissions Cease, Will Atmospheric CO2Concentration Continue to Increase?. Journal of Climate. 26(23):9563-9576. https://doi.org/10.1175/JCLI-D-12-00751.1
2013McCrackin, M.L., J.A. Harrison, and J.E. Compton. 2013. A comparison of NEWS and SPARROW models to understand sources of nitrogen delivered to US coastal areas. Biogeochemistry. 114(1-3):281-297. https://doi.org/10.1007/s10533-012-9809-x
2013McKinnon, K.A., A.R. Stine, and P. Huybers. 2013. The Spatial Structure of the Annual Cycle in Surface Temperature: Amplitude, Phase, and Lagrangian History. Journal of Climate. 26(20):7852-7862. https://doi.org/10.1175/JCLI-D-13-00021.1
2013Meng, X.H., J.P. Evans, and M.F. McCabe. 2013. The influence of inter-annually varying albedo on regional climate and drought. Climate Dynamics. 42(3-4):787-803. https://doi.org/10.1007/s00382-013-1790-0
2013Puma, M.J., R.D. Koster, and B.I. Cook. 2013. Phenological versus meteorological controls on land-atmosphere water and carbon fluxes. Journal of Geophysical Research: Biogeosciences. 118(1):14-29. https://doi.org/10.1029/2012JG002088
2013Puma, M.J., R.D. Koster, and B.I. Cook. 2013. Phenological versus meteorological controls on land-atmosphere water and carbon fluxes. Journal of Geophysical Research: Biogeosciences. 118(1):14-29. https://doi.org/10.1029/2012JG002088
2013Puma, M.J., R.D. Koster, and B.I. Cook. 2013. Phenological versus meteorological controls on land-atmosphere water and carbon fluxes. Journal of Geophysical Research: Biogeosciences. 118(1):14-29. https://doi.org/10.1029/2012JG002088
2013Reager, J.T. and J.S. Famiglietti. 2013. Characteristic mega-basin water storage behavior using GRACE. Water Resources Research. 49(6):3314-3329. https://doi.org/10.1002/wrcr.20264
2013Rogers, B.M., J.T. Randerson, and G.B. Bonan. 2013. High-latitude cooling associated with landscape changes from North American boreal forest fires. Biogeosciences. 10(2):699-718. https://doi.org/10.5194/bg-10-699-2013
2013Rogers, B.M., J.T. Randerson, and G.B. Bonan. 2013. High-latitude cooling associated with landscape changes from North American boreal forest fires. Biogeosciences. 10(2):699-718. https://doi.org/10.5194/bg-10-699-2013
2013Saeki, T., S. Maksyutov, M. Sasakawa, T. Machida, M. Arshinov, P. Tans, T.J. Conway, M. Saito, V. Valsala, T. Oda, R.J. Andres, and D. Belikov. 2013. Carbon flux estimation for Siberia by inverse modeling constrained by aircraft and tower CO2measurements. Journal of Geophysical Research: Atmospheres. 118(2):1100-1122. https://doi.org/10.1002/jgrd.50127
2013Tao, B., H. Tian, G. Chen, W. Ren, C. Lu, K.D. Alley, X. Xu, M. Liu, S. Pan, and H. Virji. 2013. Terrestrial carbon balance in tropical Asia: Contribution from cropland expansion and land management. Global and Planetary Change. 100:85-98. https://doi.org/10.1016/j.gloplacha.2012.09.006
2013Unger, N., K. Harper, Y. Zheng, N.Y. Kiang, I. Aleinov, A. Arneth, G. Schurgers, C. Amelynck, A. Goldstein, A. Guenther, B. Heinesch, C.N. Hewitt, T. Karl, Q. Laffineur, B. Langford, K. A. McKinney, P. Misztal, M. Potosnak, J. Rinne, S. Pressley, N. Schoon, and D. Serca. 2013. Photosynthesis-dependent isoprene emission from leaf to planet in a global carbon-chemistry-climate model. Atmospheric Chemistry and Physics. 13(20):10243-10269. https://doi.org/10.5194/acp-13-10243-2013
2013Wania, R., J.R. Melton, E.L. Hodson, B. Poulter, B. Ringeval, R. Spahni, T. Bohn, C.A. Avis, G. Chen, A.V. Eliseev, P.O. Hopcroft, W.J. Riley, Z.M. Subin, H. Tian, P.M. van Bodegom, T. Kleinen, Z.C. Yu, J.S. Singarayer, S. Zurcher, D.P. Lettenmaier, D.J. Beerling, S.N. Denisov, C. Prigent, F. Papa, and J.O. Kaplan. 2013. Present state of global wetland extent and wetland methane modelling: methodology of a model inter-comparison project (WETCHIMP). Geoscientific Model Development. 6(3):617-641. https://doi.org/10.5194/gmd-6-617-2013
2013Winsemius, H.C., L.P.H. Van Beek, B. Jongman, P.J. Ward, and A. Bouwman. 2013. A framework for global river flood risk assessments. Hydrology and Earth System Sciences. 17(5):1871-1892. https://doi.org/10.5194/hess-17-1871-2013
2013Yan, H., Q. Yu, Z.C. Zhu, R.B. Myneni, H.M. Yan, S.Q. Wang, and H.H. Shugart. 2013. Diagnostic analysis of interannual variation of global land evapotranspiration over 1982-2011: Assessing the impact of ENSO. Journal of Geophysical Research: Atmospheres. 118(16):8969-8983. https://doi.org/10.1002/jgrd.50693
2013Zaitchik, B.F., J.A. Santanello, S.V. Kumar, and C.D. Peters-Lidard. 2013. Representation of Soil Moisture Feedbacks during Drought in NASA Unified WRF (NU-WRF). Journal of Hydrometeorology. 14(1):360-367. https://doi.org/10.1175/JHM-D-12-069.1
2013Zhang, W., P.A. Miller, B. Smith, R. Wania, T. Koenigk, and R. Doscher. 2013. Tundra shrubification and tree-line advance amplify arctic climate warming: results from an individual-based dynamic vegetation model. Environmental Research Letters. 8(3):034023. https://doi.org/10.1088/1748-9326/8/3/034023
2012Astitha, M., J. Lelieveld, M. Abdel Kader, A. Pozzer, and A. de Meij. 2012. Parameterization of dust emissions in the global atmospheric chemistry-climate model EMAC: impact of nudging and soil properties. Atmospheric Chemistry and Physics. 12(22):11057-11083. https://doi.org/10.5194/acp-12-11057-2012
2012Astitha, M., J. Lelieveld, M. Abdel Kader, A. Pozzer, and A. de Meij. 2012. Parameterization of dust emissions in the global atmospheric chemistry-climate model EMAC: impact of nudging and soil properties. Atmospheric Chemistry and Physics. 12(22):11057-11083. https://doi.org/10.5194/acp-12-11057-2012
2012Caldwell, P.V., G. Sun, S.G. McNulty, E.C. Cohen, and J.A. Moore Myers. 2012. Impacts of impervious cover, water withdrawals, and climate change on river flows in the conterminous US. Hydrology and Earth System Sciences. 16(8):2839-2857. https://doi.org/10.5194/hess-16-2839-2012
2012Gimeno, L., A. Stohl, R.M. Trigo, F. Dominguez, K. Yoshimura, L. Yu, A. Drumond, A.M. Duran-Quesada, and R. Nieto. 2012. Oceanic and terrestrial sources of continental precipitation. Reviews of Geophysics. 50(4):. https://doi.org/10.1029/2012RG000389
2012J. T. Reager (2012) Terrestrial water storage across scales: Applications of the GRACE satellite mission for global hydrology.University of California, Irvine. Submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Earth System Science. http://gradworks.umi.com/3540046.pdf
2012Levavasseur, G., M. Vrac, D.M. Roche, and D. Paillard. 2012. Statistical modelling of a new global potential vegetation distribution. Environmental Research Letters. 7(4):044019. https://doi.org/10.1088/1748-9326/7/4/044019
2012Luo, Y.Q., J.T. Randerson, G. Abramowitz, C. Bacour, E. Blyth, N. Carvalhais, P. Ciais, D. Dalmonech, J.B. Fisher, R. Fisher, P. Friedlingstein, K. Hibbard, F. Hoffman, D. Huntzinger, C.D. Jones, C. Koven, D. Lawrence, D.J. Li, M. Mahecha, S.L. Niu, R. Norby, S.L. Piao, X. Qi, P. Peylin, I.C. Prentice, W. Riley, M. Reichstein, C. Schwalm, Y.P. Wang, J.Y. Xia, S. Zaehle, and X.H. Zhou. 2012. A framework for benchmarking land models. Biogeosciences. 9(10):3857-3874. https://doi.org/10.5194/bg-9-3857-2012
2012Makarieva, A.M., V.G. Gorshkov, and B.L. Li. 2012. Revisiting forest impact on atmospheric water vapor transport and precipitation. Theoretical and Applied Climatology. 111(1-2):79-96. https://doi.org/10.1007/s00704-012-0643-9
2012Makarieva, A.M., V.G. Gorshkov, and B.L. Li. 2012. Revisiting forest impact on atmospheric water vapor transport and precipitation. Theoretical and Applied Climatology. 111(1-2):79-96. https://doi.org/10.1007/s00704-012-0643-9
2012Nasonova, O.N. 2012. The effect of uncertainties in precipitation global datasets on the estimates of terrestrial water balance components. Water Resources. 39(1):56-68. https://doi.org/10.1134/S0097807812010101
2012Samson, J., D. Berteaux, B.J. McGill, and M.M. Humphries. 2012. Demographic Amplification of Climate Change Experienced by the Contiguous United States Population during the 20th Century. PLoS ONE. 7(10):e45683. https://doi.org/10.1371/journal.pone.0045683
2012Tang, Q. and D.P. Lettenmaier. 2012. 21st century runoff sensitivities of major global river basins. Geophysical Research Letters. 39(6):n/a-n/a. https://doi.org/10.1029/2011GL050834
2012Wania, R., J.R. Melton, E.L. Hodson, B. Poulter, B. Ringeval, R. Spahni, T. Bohn, C.A. Avis, G. Chen, A.V. Eliseev, P.O. Hopcroft, W.J. Riley, Z.M. Subin, H. Tian, V. Brovkin, P.M. van Bodegom, T. Kleinen, Z.C. Yu, J.S. Singarayer, S. Zurcher, D.P. Lettenmaier, D.J. Beerling, S.N. Denisov, C. Prigent, F. Papa, and J.O. Kaplan. 2012. Present state of global wetland extent and wetland methane modelling: methodology of a model intercomparison project (WETCHIMP). Geoscientific Model Development Discussions. 5(4):4071-4136. https://doi.org/10.5194/gmdd-5-4071-2012
2012Williams, C.A., M. Reichstein, N. Buchmann, D. Baldocchi, C. Beer, C. Schwalm, G. Wohlfahrt, N. Hasler, C. Bernhofer, T. Foken, D. Papale, S. Schymanski, and K. Schaefer. 2012. Climate and vegetation controls on the surface water balance: Synthesis of evapotranspiration measured across a global network of flux towers. Water Resources Research. 48(6):. https://doi.org/10.1029/2011WR011586
2012Winsemius, H.C., L.P.H. Van Beek, B. Jongman, P.J. Ward, and A. Bouwman. 2012. A framework for global river flood risk assessments. Hydrology and Earth System Sciences Discussions. 9(8):9611-9659. https://doi.org/10.5194/hessd-9-9611-2012
2012Yan, H., S.Q. Wang, D. Billesbach, W. Oechel, J.H. Zhang, T. Meyers, T.A. Martin, R. Matamala, D. Baldocchi, G. Bohrer, D. Dragoni, and R. Scott. 2012. Global estimation of evapotranspiration using a leaf area index-based surface energy and water balance model. Remote Sensing of Environment. 124:581-595. https://doi.org/10.1016/j.rse.2012.06.004
2012Zhang, F., Ju, W., Chen, J.-M., Wang, S.-Q., Yu, G.-R., & Han, S.-J. (2012). Characteristics of terrestrial ecosystem primary productivity in East Asia based on remote sensing and process-based model. Chinese Journal of Applied Ecology, 23 (2), 307-318.
2011ITO, A. 2011. A historical meta-analysis of global terrestrial net primary productivity: are estimates converging?. Global Change Biology. 17(10):3161-3175. https://doi.org/10.1111/j.1365-2486.2011.02450.x
2011Jarvis, 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
2011Tian, H., C. Lu, G. Chen, X. Xu, M. Liu, W. Ren, B. Tao, G. Sun, S. Pan, and J. Liu. 2011. Climate and land use controls over terrestrial water use efficiency in monsoon Asia. Ecohydrology. 4(2):322-340. https://doi.org/10.1002/eco.216
2011van Wijk, M.T. 2011. Understanding plant rooting patterns in semi-arid systems: an integrated model analysis of climate, soil type and plant biomass. Global Ecology and Biogeography. 20(2):331-342. https://doi.org/10.1111/j.1466-8238.2010.00601.x
2011X.H. Meng, J. P. Evans, M. F. McCabe (2011) South-east Australia's drought: Numerical modelling and land-atmosphere feedback.Hydro-climatology: Variablity and Change symposium proceedings.. http://web.science.unsw.edu.au/jasone/publications/mengetal2011.pdf
2010Silva, J.M.N., J.F.C.L. Cadima, J.M.C. Pereira, and J.M. Gregoire. 2010. Assessing the feasibility of a global model for multi-temporal burned area mapping using SPOT-VEGETATION data. International Journal of Remote Sensing. 25(22):4889-4913. https://doi.org/10.1080/01431160412331291251
2007Hong, Y., R. Adler, and G. Huffman. 2007. Use of satellite remote sensing data in the mapping of global landslide susceptibility. Natural Hazards. 43(2):245-256. https://doi.org/10.1007/s11069-006-9104-z
2002Hicke, J.A., G.P. Asner, J.T. Randerson, C. Tucker, S. Los, R. Birdsey, J.C. Jenkins, C. Field, and E. Holland. 2002. Satellite-derived increases in net primary productivity across North America, 1982-1998. Geophysical Research Letters. 29(10):69-1-69-4. https://doi.org/10.1029/2001gl013578
2023De Benedictis, L., V. Licio, and A.M. Pinna. 2023. From the historical Roman road network to modern infrastructure in Italy. Journal of Regional Science. https://doi.org/10.1111/jors.12659
2023Prather, M.J., H. Guo, and X. Zhu. 2023. Deconstruction of tropospheric chemical reactivity using aircraft measurements: the Atmospheric Tomography Mission (ATom) data. Earth System Science Data. 15(7):3299-3349. https://doi.org/10.5194/essd-15-3299-2023
2020Alipour, M.H., K.M. Kibler, and B. Alizadeh. 2020. Flow alteration by diversion hydropower in tributaries to the Salween river: a comparative analysis of two streamflow prediction methodologies. International Journal of River Basin Management. 1-11. https://doi.org/10.1080/15715124.2020.1760289
2020Peng, D., T. Zhou, and L. Zhang. 2020. Moisture sources associated with precipitation during dry and wet seasons over Central Asia. Journal of Climate. 1-47. https://doi.org/10.1175/JCLI-D-20-0029.1
2020Yang, X. and M. Tan. 2020. Attributing Global Land Carbon Loss to Regional Agricultural and Forestry Commodity Consumption. Environmental Science & Technology. 55(2):823-831. https://doi.org/10.1021/acs.est.0c04222
2019Xu, G. and B. Chen. 2019. Generating a series of land covers by assimilating the existing land cover maps. ISPRS Journal of Photogrammetry and Remote Sensing. 147:206-214. https://doi.org/10.1016/j.isprsjprs.2018.11.018
2017Gilbert, J.M. and R.M. Maxwell. 2017. Examining regional groundwater&ndash;surface water dynamics using an integrated hydrologic model of the San Joaquin River basin. Hydrology and Earth System Sciences. 21(2):923-947. https://doi.org/10.5194/hess-21-923-2017
2012Nasonova, O.N. 2012. The effect of uncertainties in precipitation global datasets on the estimates of terrestrial water balance components. Water Resources. 39(1):56-68. https://doi.org/10.1134/S0097807812010101
2012Onishi, 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