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Multimodel ensembles improve predictions of crop-environment-management interactions 期刊论文
GLOBAL CHANGE BIOLOGY, 2018, 卷号: 24, 期号: 11, 页码: 5072-5083
Authors:  Wallach, Daniel;  Martre, Pierre;  Liu, Bing;  Asseng, Senthold;  Ewert, Frank;  Thorburn, Peter J.;  van Ittersum, Martin;  Aggarwal, Pramod K.;  Ahmed, Mukhtar;  Basso, Bruno;  Biernath, Christian;  Cammarano, Davide;  Challinor, Andrew J.;  De Sanctis, Giacomo;  Dumont, Benjamin;  Rezaei, Ehsan Eyshi;  Fereres, Elias;  Fitzgerald, Glenn J.;  Gao, Y.;  Garcia-Vila, Margarita;  Gayler, Sebastian;  Girousse, Christine;  Hoogenboom, Gerrit;  Horan, Heidi;  Izaurralde, Roberto C.;  Jones, Curtis D.;  Kassie, Belay T.;  Kersebaum, Kurt C.;  Klein, Christian;  Koehler, Ann-Kristin;  Maiorano, Andrea;  Minoli, Sara;  Mueller, Christoph;  Kumar, Soora Naresh;  Nendel, Claas;  O'Leary, Garry J.;  Palosuo, Taru;  Priesack, Eckart;  Ripoche, Dominique;  Roetter, Reimund P.;  Semenov, Mikhail A.;  Stockle, Claudio;  Stratonovitch, Pierre;  Streck, Thilo;  Supit, Iwan;  Tao, Fulu;  Wolf, Joost;  Zhang, Zhao
Favorite  |  View/Download:9/0  |  Submit date:2019/05/23
climate change impact  crop models  ensemble mean  ensemble median  multimodel ensemble  prediction  
Abrupt drainage basin reorganization following a Pleistocene river capture 期刊论文
NATURE COMMUNICATIONS, 2018, 卷号: 9, 页码: 6
Authors:  Fan, Niannian;  Chu, Zhongxin;  Jiang, Luguang;  Hassan, Marwan A.;  Lamb, Michael P.;  Liu, Xingnian
Favorite  |  View/Download:6/0  |  Submit date:2019/05/23
Detecting and mapping annual newly-burned plots (NBP) of swiddening using historical Landsat data in Montane Mainland Southeast Asia (MMSEA) during 1988-2016 期刊论文
JOURNAL OF GEOGRAPHICAL SCIENCES, 2018, 卷号: 28, 期号: 9, 页码: 1307-1328
Authors:  Li Peng;  Feng Zhiming;  Xiao Chiwei;  Khampheng, Boudmyxay;  Liu Yu
Favorite  |  View/Download:27/0  |  Submit date:2019/05/23
swidden agriculture  phenology  newly-burned plots (NBP)  Landsat  Montane Mainland Southeast Asia (MMSEA)  
Spatiotemporal variations of annual shallow soil temperature on the Tibetan Plateau during 1983-2013 期刊论文
CLIMATE DYNAMICS, 2018, 卷号: 51, 期号: 5-6, 页码: 2209-2227
Authors:  Zhu, Fuxin;  Cuo, Lan;  Zhang, Yongxin;  Luo, Jing-Jia;  Lettenmaier, Dennis P.;  Lin, Yumei;  Liu, Zhe
Favorite  |  View/Download:0/0  |  Submit date:2019/05/23
Soil temperature  Tibetan Plateau  Climate change  Joint empirical orthogonal function (joint EOF)  
Evapotranspiration simulations in ISIMIP2a-Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2018, 卷号: 13, 期号: 7, 页码: 20
Authors:  Wartenburger, Richard;  Seneviratne, Sonia, I;  Hirschi, Martin;  Chang, Jinfeng;  Ciais, Philippe;  Deryng, Delphine;  Elliott, Joshua;  Folberth, Christian;  Gosling, Simon N.;  Gudmundsson, Lukas;  Henrot, Alexandra-Jane;  Hickler, Thomas;  Ito, Akihiko;  Khabarov, Nikolay;  Kim, Hyungjun;  Leng, Guoyong;  Liu, Junguo;  Liu, Xingcai;  Masaki, Yoshimitsu;  Morfopoulos, Catherine;  Mueller, Christoph;  Schmied, Hannes Mueller;  Nishina, Kazuya;  Orth, Rene;  Pokhrel, Yadu;  Pugh, Thomas A. M.;  Satoh, Yusuke;  Schaphoff, Sibyll;  Schmid, Erwin;  Sheffield, Justin;  Stacke, Tobias;  Steinkamp, Joerg;  Tang, Qiuhong;  Thiery, Wim;  Wada, Yoshihide;  Wang, Xuhui;  Weedon, Graham P.;  Yang, Hong;  Zhou, Tian
Favorite  |  View/Download:16/0  |  Submit date:2019/05/23
ISIMIP2a  evapotranspiration  uncertainty  cluster analysis  hydrological extreme events  
Human impact parameterizations in global hydrological models improve estimates of monthly discharges and hydrological extremes: a multi-model validation study 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2018, 卷号: 13, 期号: 5, 页码: 16
Authors:  Veldkamp, T. I. E.;  Zhao, F.;  Ward, P. J.;  de Moel, H.;  Aerts, J. C. J. H.;  Schmied, H. Mueller;  Portmann, F. T.;  Masaki, Y.;  Pokhrel, Y.;  Liu, X.;  Satoh, Y.;  Gerten, D.;  Gosling, S. N.;  Zaherpour, J.;  Wada, Y.
Favorite  |  View/Download:8/0  |  Submit date:2019/05/23
hydrological extremes  human impact  validation  global hydrological modeling  multi-model  fresh water resources