Physical robustness of canopy temperature models for crop heat stress simulation across environments and production conditions

Despite widespread application in studying climate change impacts, most crop models ignore complex interactions among air temperature, crop and soil water status, CO2 concentration and atmospheric conditions that influence crop canopy temperature. The current study extended previous studies by evaluating Tc simulations from nine crop models at six locations across environmental and production conditions. Each crop model implemented one of an empirical (EMP), an energy balance assuming neutral stability (EBN) or an energy balance correcting for atmospheric stability conditions (EBSC) approach to simulate Tc. Model performance in predicting Tc was evaluated for two experiments in continental North America with various water, nitrogen and CO2 treatments. An empirical model fit to one dataset had the best performance, followed by the EBSC models. Stability conditions explained much of the differences between modeling approaches. More accurate simulation of heat stress will likely require use of energy balance approaches that consider atmospheric stability conditions.

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Author Webber, Heidi
Last Updated November 21, 2019, 17:51 (UTC)
Created July 31, 2019, 16:30 (UTC)
Article Is Open Access false
Citation Report https://scite.ai/reports/10.1016/j.fcr.2017.11.005
DFW Organisation RRes
DFW Work Package 1
DOI 10.1016/j.fcr.2017.11.005
Journal Is Open Access false
Open Access Status closed
PDF URL https://www.sciencedirect.com/science/article/pii/S0378429017313011/pdfft?md5=f891b109e6ec54ec965ba24dd8f7b840&pid=1-s2.0-S0378429017313011-main.pdf
Publisher URL https://www.sciencedirect.com/science/article/pii/S0378429017313011