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A remote sensing-based scheme to improve regional crop model calibration at sub-model component level 期刊论文
AGRICULTURAL SYSTEMS, 2020, 卷号: 181, 页码: 12
Authors:  Zhang, Jing;  Chen, Yi;  Zhang, Zhao
Favorite  |  View/Download:7/0  |  Submit date:2020/05/19
Calibration  Crop model  MCWLA  SMC scheme  Remote sensing  
Double-Rice System Simulation in a Topographically Diverse Region-A Remote-Sensing-Driven Case Study in Hunan Province of China 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 13, 页码: 19
Authors:  Zhang, Jing;  Zhang, Zhao;  Wang, Chenzhi;  Tao, Fulu
Favorite  |  View/Download:8/0  |  Submit date:2020/03/23
topography  landform  double rice  crop model  MCWLA  remote sensing  
Improving rice development and phenology prediction across contrasting climate zones of China 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2019, 卷号: 268, 页码: 224-233
Authors:  Zhang, Shuai;  Tao, Fulu
Favorite  |  View/Download:22/0  |  Submit date:2019/05/22
Rice model  Extreme temperature  Rice development rate  Uncertainty  Crop model improvement  
Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data 期刊论文
EUROPEAN JOURNAL OF AGRONOMY, 2018, 卷号: 101, 页码: 163-173
Authors:  Chen, Yi;  Zhang, Zhao;  Tao, Fulu
Favorite  |  View/Download:12/0  |  Submit date:2019/05/23
Winter wheat  Leaf area index (LAI)  Spatial differences  Data assimilation  MCWLA-Wheat model  Yield estimation  
Impacts of climate change and climate extremes on major crops productivity in China at a global warming of 1.5 and 2.0 degrees C 期刊论文
EARTH SYSTEM DYNAMICS, 2018, 卷号: 9, 期号: 2, 页码: 543-562
Authors:  Chen, Yi;  Zhang, Zhao;  Tao, Fulu
Favorite  |  View/Download:14/0  |  Submit date:2019/05/23
Future extreme temperature and its impact on rice yield in China 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 卷号: 37, 期号: 14, 页码: 4814-4827
Authors:  Zhang, Zhao;  Chen, Yi;  Wang, Chenzhi;  Wang, Pin;  Tao, Fulu
Favorite  |  View/Download:4/0  |  Submit date:2019/09/25
extreme temperature stress  climate risk  yield loss  MCWLA  impacts  adaptation  
Spatio-temporal patterns of winter wheat yield potential and yield gap during the past three decades in North China 期刊论文
FIELD CROPS RESEARCH, 2017, 卷号: 206, 页码: 11-20
Authors:  Chen, Yi;  Zhang, Zhao;  Tao, Fulu;  Wang, Pin;  Wei, Xing
Favorite  |  View/Download:3/0  |  Submit date:2019/09/25
Yield potential  Food security  Climate change  Agronomic management  Adaptation  
How ENSO affects maize yields in China: understanding the impact mechanisms using a process-based crop model SCI/SSCI论文
2016
Authors:  Shuai J. B.;  Zhang, Z.;  Tao, F. L.;  Shi, P. J.
View  |  Adobe PDF(15678Kb)  |  Favorite  |  View/Download:43/12  |  Submit date:2017/11/09
ENSO  maize yields  water stress  China  climate variability  crop model  nino-southern-oscillation  water-use efficiency  asian summer monsoon  sea-surface temperature  tropical pacific ssts  el-nino  north china  climate variability  solar-radiation  corn production  
A taxonomy-based approach to shed light on the babel of mathematical models for rice simulation SCI/SSCI论文
2016
Authors:  Confalonieri R.;  Bregaglio, S.;  Adam, M.;  Ruget, F.;  Li, T.;  Hasegawa, T.;  Yin, X. Y.;  Zhu, Y.;  Boote, K.;  Buis, S.;  Fumoto, T.;  Gaydon, D.;  Lafarge, T.;  Marcaida, M.;  Nakagawa, H.;  Ruane, A. C.;  Singh, B.;  Singh, U.;  Tang, L.;  Tao, F. L.;  Fugice, J.;  Yoshida, H.;  Zhang, Z.;  Wilson, L. T.;  Baker, J.;  Yang, Y. B.;  Masutomi, Y.;  Wallach, D.;  Acutis, M.;  Bouman, B.
View  |  Adobe PDF(1243Kb)  |  Favorite  |  View/Download:61/27  |  Submit date:2017/11/09
Model classification  Model parameterisation  Model ensemble  Model  structure  Rice  Uncertainty  crop models  sensitivity-analysis  climate-change  calibration  yield  wheat  uncertainty  water  plasticity  evolution  
Multi-wheat-model ensemble responses to interannual climate variability SCI/SSCI论文
2016
Authors:  Ruane A. C.;  Hudson, N. I.;  Asseng, S.;  Camarrano, D.;  Ewert, F.;  Martre, P.;  Boote, K. J.;  Thorburn, P. J.;  Aggarwal, P. K.;  Angulo, C.;  Basso, B.;  Bertuzzi, P.;  Biernath, C.;  Brisson, N.;  Challinor, A. J.;  Doltra, J.;  Gayler, S.;  Goldberg, R.;  Grant, R. F.;  Heng, L.;  Hooker, J.;  Hunt, L. A.;  Ingwersen, J.;  Izaurralde, R. C.;  Kersebaum, K. C.;  Kumar, S. N.;  Muller, C.;  Nendel, C.;  O'leary, G.;  Olesen, J. E.;  Osborne, T. M.;  Palosuo, T.;  Priesack, E.;  Ripoche, D.;  Rotter, R. P.;  Semenov, M. A.;  Shcherbak, I.;  Steduto, P.;  Stockle, C. O.;  Stratonovitch, P.;  Streck, T.;  Supit, I.;  Tao, F. L.;  Travasso, M.;  Waha, K.;  Wallach, D.;  White, J. W.;  Wolf, J.
View  |  Adobe PDF(2859Kb)  |  Favorite  |  View/Download:67/17  |  Submit date:2017/11/09
Crop modeling  Uncertainty  Multi-model ensemble  Wheat  AgMIP  Climate  impacts  Temperature  Precipitation  lnterannual variability  simulation-model  crop model  nitrogen dynamics  winter-wheat  large-area  systems simulation  farming systems  yield response  growth  water