globalchange  > 全球变化的国际研究计划
DOI: 10.1016/j.envsoft.2019.05.005
WOS记录号: WOS:000469933100016
论文题名:
New modelling technique for improving crop model performance - Application to the GLAM model
作者: Droutsas, I.1,2; Challinor, A. J.1,2,3; Swiderski, M.1; Semenov, M. A.4
通讯作者: Droutsas, I.
刊名: ENVIRONMENTAL MODELLING & SOFTWARE
ISSN: 1364-8152
EISSN: 1873-6726
出版年: 2019
卷: 118, 页码:187-200
语种: 英语
英文关键词: SEMAC ; GLAM-Parti ; Allometric relationships ; Model improvement ; Water stress
WOS关键词: CLIMATE-CHANGE ; LEAF-AREA ; WINTER-WHEAT ; GRAIN-YIELD ; DROUGHT ; GROWTH ; UNCERTAINTY ; TEMPERATURE ; WATER ; IMPACTS
WOS学科分类: Computer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Sciences
WOS研究方向: Computer Science ; Engineering ; Environmental Sciences & Ecology
英文摘要:

Crop models simulate growth and development and they are often used for climate change applications. However, they have a variable skill in the simulation of crop responses to extreme climatic events. Here, we present a new dynamic crop modelling method for simulating the impact of abiotic stresses. The Simultaneous Equation Modelling for Annual Crops (SEMAC) uses simultaneous solution of the model equations to ensure internal model consistency within daily time steps; something that is not always guaranteed in the usual sequential method. The SEMAC approach is implemented in GLAM, resulting in a new model version (GLAM-Parti). The new model shows a clear improvement in skill under water stress conditions and it successfully simulates the acceleration of leaf senescence in response to drought. We conclude that SEMAC is a promising crop modelling technique that might be applied to a range of models.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/144935
Appears in Collections:全球变化的国际研究计划

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作者单位: 1.Univ Leeds, Inst Climate & Atmospher Sci, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England
2.Univ Leeds, Priestley Int Ctr Climate, Leeds LS2 9JT, W Yorkshire, England
3.Int Ctr Trop Agr CIAT, Collaborat Res Program CGIAR & Future Earth Clima, Cali 6713, Colombia
4.Rothamsted Res, Harpenden AL5 2JQ, Herts, England

Recommended Citation:
Droutsas, I.,Challinor, A. J.,Swiderski, M.,et al. New modelling technique for improving crop model performance - Application to the GLAM model[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2019-01-01,118:187-200
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