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

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.

Data and Resources

Additional Info

Field Value
Source
Version
Authors
  • Name: Droutsas, I., Type: Corresponding Author,
  • Name: Challinor, A.J., Type: Author,
  • Name: Swiderski, M., Type: Author,
  • Name: Semenov, M.A., Type: Author,
Maintainer
Maintainer Email
Article Host Type repository
Article Is Open Access true
Article License Type
Article Version Type publishedVersion
Citation Report https://scite.ai/reports/10.1016/j.envsoft.2019.05.005
DFW Organisation RRes
DFW Work Package 1
DOI 10.1016/j.envsoft.2019.05.005
Date Last Updated 2019-07-19T00:46:43.407355
Evidence oa repository (via OAI-PMH title and first author match)
Journal Is Open Access false
Open Access Status green
PDF URL https://repository.rothamsted.ac.uk/download/9f59267d9bfdb30fbccdb594698dd282380c04a75fb13d6b9e6cb94e7471bd2a/5416634/1-s2.0-S1364815218307606-main.pdf
Publisher URL https://doi.org/10.1016/j.envsoft.2019.05.005