Spatial sampling of weather data for regional crop yield simulations
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- 作者：Lenny G.J. van Bussela ; b ; Lenny.vanBussel@wur.nl" class="auth_mail" title="E-mail the corresponding author ; Frank Ewerta ; Gang Zhaoa ; Holger Hoffmanna ; Andreas Endersa ; Daniel Wallachc ; Senthold Assengd ; Guillermo A. Baigorriae ; Bruno Bassof ; Christian Biernathg ; Davide Cammaranod ; 1 ; James Chryssanthacopoulosh ; Julie Constantinc ; Joshua Elliotti ; Michael Glotteri ; Florian Heinleing ; Kurt-Christian Kersebaumj ; Christian Kleing ; Claas Nendelj ; Eckart Priesackg ; Hé ; lè ; ne Raynalc ; Consuelo C. Romeroe ; 2 ; Reimund P. Rö ; tterk ; Xenia Speckaj ; Fulu Taok
- 关键词：Regional crop simulations ; Winter wheat ; Upscaling ; Stratified sampling ; Yield estimates
- 刊名：Agricultural and Forest Meteorology
- 出版年：2016
- 出版时间：15 April 2016
- 年：2016
- 卷：220
- 期：Complete
- 页码：101-115
- 全文大小：5270 K
文摘
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Stratified sampling of weather data was assessed using 12 wheat models.
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Simulated yields based on a range of sample sizes of weather data were assessed.
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Stratified sampling can considerably reduce the number of required simulations.
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Selection of a model can influence simulated yields more than the sampling strategy.