| Rising temperatures reduce global wheat production S Asseng, F Ewert, P Martre, RP Rötter, DB Lobell, D Cammarano, ... Nature climate change 5 (2), 143-147, 2015 | 2206 | 2015 |
| Uncertainty in simulating wheat yields under climate change S Asseng, F Ewert, C Rosenzweig, JW Jones, JL Hatfield, AC Ruane, ... Nature climate change 3 (9), 827-832, 2013 | 1331 | 2013 |
| Similar estimates of temperature impacts on global wheat yield by three independent methods B Liu, S Asseng, C Müller, F Ewert, J Elliott, DB Lobell, P Martre, ... Nature Climate Change 6 (12), 1130-1136, 2016 | 544 | 2016 |
| Multimodel ensembles of wheat growth: many models are better than one P Martre, D Wallach, S Asseng, F Ewert, JW Jones, RP Rötter, KJ Boote, ... Global change biology 21 (2), 911-925, 2015 | 502 | 2015 |
| Climate change impact and adaptation for wheat protein S Asseng, P Martre, A Maiorano, RP Rötter, GJ O’Leary, GJ Fitzgerald, ... Global change biology 25 (1), 155-173, 2019 | 439 | 2019 |
| A simple method for generating daily rainfall data S Geng, FWTP de Vries, I Supit Agricultural and Forest meteorology 36 (4), 363-376, 1986 | 342 | 1986 |
| 25 years of the WOFOST cropping systems model A De Wit, H Boogaard, D Fumagalli, S Janssen, R Knapen, ... Agricultural systems 168, 154-167, 2019 | 324 | 2019 |
| A simple method to estimate global radiation I Supit, RR Van Kappel Solar energy 63 (3), 147-160, 1998 | 313 | 1998 |
| The uncertainty of crop yield projections is reduced by improved temperature response functions E Wang, P Martre, Z Zhao, F Ewert, A Maiorano, RP Rötter, BA Kimball, ... Nature plants 3 (8), 1-13, 2017 | 284 | 2017 |
| System description of the WOFOST 6.0 crop simulation model implemented in CGMS I Supit Theory and algorithms 1, 146, 1994 | 268 | 1994 |
| Mekong River flow and hydrological extremes under climate change LP Hoang, H Lauri, M Kummu, J Koponen, MTH Van Vliet, I Supit, ... Hydrology and Earth System Sciences 20 (7), 3027-3041, 2016 | 249 | 2016 |
| Assessing climate change effects on European crop yields using the Crop Growth Monitoring System and a weather generator I Supit, CA Van Diepen, AJW De Wit, J Wolf, P Kabat, B Baruth, F Ludwig Agricultural and Forest Meteorology 164, 96-111, 2012 | 234 | 2012 |
| Recent changes in the climatic yield potential of various crops in Europe I Supit, CA Van Diepen, AJW De Wit, P Kabat, B Baruth, F Ludwig Agricultural Systems 103 (9), 683-694, 2010 | 225 | 2010 |
| A regional implementation of WOFOST for calculating yield gaps of autumn-sown wheat across the European Union H Boogaard, J Wolf, I Supit, S Niemeyer, M van Ittersum Field Crops Research 143, 130-142, 2013 | 187 | 2013 |
| Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces N Pirttioja, TR Carter, S Fronzek, M Bindi, H Hoffmann, T Palosuo, ... Climate Research 65, 87-105, 2015 | 162 | 2015 |
| The Mekong's future flows under multiple drivers: How climate change, hydropower developments and irrigation expansions drive hydrological changes LP Hoang, MTH van Vliet, M Kummu, H Lauri, J Koponen, I Supit, ... Science of the Total Environment 649, 601-609, 2019 | 147 | 2019 |
| Global wheat production with 1.5 and 2.0° C above pre‐industrial warming B Liu, P Martre, F Ewert, JR Porter, AJ Challinor, C Müller, AC Ruane, ... Global Change Biology 25 (4), 1428-1444, 2019 | 146 | 2019 |
| A potato model intercomparison across varying climates and productivity levels DH Fleisher, B Condori, R Quiroz, A Alva, S Asseng, C Barreda, M Bindi, ... Global change biology 23 (3), 1258-1281, 2017 | 140 | 2017 |
| Multimodel ensembles improve predictions of crop–environment–management interactions D Wallach, P Martre, B Liu, S Asseng, F Ewert, PJ Thorburn, ... Global change biology 24 (11), 5072-5083, 2018 | 139 | 2018 |
| SWAP version 4: theory description and user manual. JG Kroes, JC Van Dam, RP Bartholomeus, P Groenendijk, M Heinen, ... Alterra-rapport-Wageningen University and Research Centre, 2017 | 134 | 2017 |
Fulco LudwigDirector Water Data Science and Digital Innovation, International Water Management Institute (IWMI)在 cgiar.org 的电子邮件经过验证
