New modelling technique for improving crop model performance - Application to the GLAM model

被引：10

作者：

Droutsas, I. ^{[1
,2
]}

Challinor, A. J. ^{[1
,2
,3
]}

Swiderski, M. ^{[1
]}

Semenov, M. A. ^{[4
]}

机构：

[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

来源：

ENVIRONMENTAL MODELLING & SOFTWARE | 2019年 / 118卷

基金：

英国生物技术与生命科学研究理事会;

关键词：

SEMAC; GLAM-Parti; Allometric relationships; Model improvement; Water stress; CLIMATE-CHANGE; LEAF-AREA; WINTER-WHEAT; GRAIN-YIELD; DROUGHT; GROWTH; UNCERTAINTY; TEMPERATURE; WATER; IMPACTS;

D O I：

10.1016/j.envsoft.2019.05.005

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

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.

引用

页码：187 / 200

页数：14

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