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

The following 143 publications cited the International Satellite Land Surface Climatology Project (ISLSCP II) project.

YearCitationDataset or Project
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
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
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
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
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
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
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
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
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, 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
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
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
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 – adjustment of the topographical and rainfall erosivity factors. Geoscientific Model Development. 8(9):2893-2913. https://doi.org/10.5194/gmd-8-2893-2015
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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.
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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
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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
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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
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
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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
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.
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
2017Gilbert, J.M. and R.M. Maxwell. 2017. Examining regional groundwater–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