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Open Access Green as soon as Postprint is submitted to ZB.
Simulation of soil temperature under maize: An inter-comparison among 33 maize models.
Agric. For. Meteorol. 351:110003 (2024)
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DOI
Accurate simulation of soil temperature can help improve the accuracy of crop growth models by improving the predictions of soil processes like seed germination, decomposition, nitrification, evaporation, and carbon sequestration. To assess how well such models can simulate soil temperature, herein we present results of an inter-comparison study of 33 maize (Zea mays L.) growth models. Among the 33 models, four of the modeling groups contributed results using differing algorithms or “flavors” to simulate evapotranspiration within the same overall model family. The study used comprehensive datasets from two sites - Mead, Nebraska, USA and Bushland, Texas, USA wherein soil temperature was measured continually at several depths. The range of simulated soil temperatures was large (about 10–15 °C) from the coolest to warmest models across whole growing seasons from bare soil to full canopy and at both shallow and deeper depths. Within model families, there were no significant differences among their simulations of soil temperature due to their differing evapotranspiration method “flavors”, so root-mean-square-errors (RMSE) were averaged within families, which reduced the number of soil temperature model families to 13. The model family RMSEs averaged over all 20 treatment-years and 2 depths ranged from about 1.5 to 5.1 °C. The six models with the lowest RMSEs were APSIM, ecosys, JULES, Expert-N, SLFT, and MaizSim. Five of these best models used a numerical iterative approach to simulate soil temperature, which entailed using an energy balance on each soil layer. whereby the change in heat storage during a time step equals the difference between the heat flow into and that out of the layer. Further improvements in the best models for simulating soil temperature might be possible with the incorporation of more recently improved routines for simulating soil thermal conductivity than the older routines now in use by the models.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Crop Models ; Maize ; Prediction ; Simulation ; Soil Heat Flux ; Soil Temperature; Thermal-conductivity; Irrigated Maize; Water; Crop; Evapotranspiration; Growth; Energy; Calibration; Evaporation; Exchange
Language
english
Publication Year
2024
HGF-reported in Year
2024
ISSN (print) / ISBN
0168-1923
e-ISSN
1873-2240
Quellenangaben
Volume: 351,
Article Number: 110003
Publisher
Elsevier
Publishing Place
Amsterdam [u.a.]
Reviewing status
Peer reviewed
Institute(s)
Research Unit Environmental Simulation (EUS)
POF-Topic(s)
30202 - Environmental Health
Research field(s)
Environmental Sciences
PSP Element(s)
G-504912-001
WOS ID
001226448200001
Scopus ID
85190858798
Erfassungsdatum
2024-05-22