Droutsas, I orcid.org/0000-0002-5123-3379, Challinor, AJ orcid.org/0000-0002-8551-6617, Swiderski, M et al. (1 more author) (2019) New modelling technique for improving crop model performance - Application to the GLAM model. Environmental Modelling and Software, 118. pp. 187-200. ISSN 1364-8152
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Environmental Modelling & Software. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | SEMAC; GLAM-Parti; Allometric relationships; Model improvement; Water stress |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 May 2019 14:30 |
Last Modified: | 08 May 2020 00:39 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.envsoft.2019.05.005 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145816 |
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