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Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Simulation of soil temperature under maize: An inter-comparison among 33 maize models.
Agric. For. Meteorol. 351:110003 (2024)
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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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Crop Models ; Maize ; Prediction ; Simulation ; Soil Heat Flux ; Soil Temperature; Thermal-conductivity; Irrigated Maize; Water; Crop; Evapotranspiration; Growth; Energy; Calibration; Evaporation; Exchange
ISSN (print) / ISBN
0168-1923
e-ISSN
1873-2240
Zeitschrift
Agricultural and Forest Meteorology
Quellenangaben
Band: 351,
Artikelnummer: 110003
Verlag
Elsevier
Verlagsort
Amsterdam [u.a.]
Begutachtungsstatus
Peer reviewed
Institut(e)
Research Unit Environmental Simulation (EUS)