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United States Department of Agriculture

Agricultural Research Service

Research Project: ENHANCED SYSTEM MODELS AND DECISION SUPPORT TOOLS TO OPTIMIZE WATER LIMITED AGRICULTURE Title: Modeling evapotranspiration and energy balance in a wheat-maize cropping system using the revised RZ-SHAW model

Authors
item Fang, Q.X. -
item Ma, Liwang
item Flerchinger, Gerald
item Qi, Z. -
item Ahuja, Lajpat
item Xing, H.T -
item Li, J -
item Yu, Q -

Submitted to: Agriculture and Forest Meterology
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: April 17, 2014
Publication Date: August 15, 2014
Citation: Fang, Q., Ma, L., Flerchinger, G.N., Qi, Z., Ahuja, L.R., Xing, H., Li, J., Yu, Q. 2014. Modeling evapotranspiration and energy balance in a wheat-maize cropping system using the revised RZ-SHAW model. Agriculture and Forest Meterology. 194:218-229.

Interpretive Summary: Evapotranspiration (ET) and surface energy balance are essential to estimating crop growth under water and heat stress conditions in agricultural systems. The revised hybrid model (RZ-SHAW), combining the Root Zone Water Quality Model (RZWQM) and Simultaneous Heat and Water (SHAW) model, was evaluated for estimating ET and surface energy balance components against observed data from an eddy covariance system in a wheat-maize double cropping system. The simulated soil water and crop growth agreed well with observed data after an automatic parameter optimization. The daily ET was slightly under-estimated by 0.05 mm in wheat seasons and over-estimated by 0.34 mm in maize seasons, compared with the observed latent heat flux (LE) from 2003 to 2005. The revised model estimated daily plant transpiration reasonably well during the middle and late crop seasons. The goodness of fit for other energy components (latent heat, sensible heat flux and canopy temperature) was also better in the middle crop seasons. These simulation results were comparable with previous studies, indicating that the revised hybrid model is reasonable for estimating ET, surface energy balance as well as crop growth under various climate and seasons.

Technical Abstract: Correctly simulating evapotranspiration (ET) and surface energy balance is essential to estimating crop growth under water and heat stress conditions in agricultural systems. The revised hybrid model (RZ-SHAW), combining the Root Zone Water Quality Model (RZWQM) and Simultaneous Heat and Water (SHAW) model, was evaluated for estimating ET and surface energy balance components against observed data from an eddy covariance system in a wheat-maize double cropping system. The simulated soil water and crop growth agreed well with observed data after an automatic parameter optimization. The daily ET was slightly under-estimated by 0.05 mm in wheat seasons and over-estimated by 0.34 mm in maize seasons, compared with the observed latent heat flux (LE) from 2003 to 2005. The root mean squared error (RMSE) and model efficiency (ME) values were 0.55 mm and 0.81 for the three years. The revised model estimated daily plant transpiration reasonably during middle and late crop seasons with RMSE and ME values of 0.56 mm and 0.78. The goodness of fit for LE, H (sensible heat flux) and canopy temperature was better in the middle crop seasons than in the early crop seasons. The RMSE values for estimated Rn (net radiation), H , LE, G (ground heat flux) , and canopy temperature were 33.6, 36.8, 42.0, 30.2 W m-2, and 1.37 oC, respectively, for middle wheat seasons and were 28.7, 35.0, 44.9, 21.6 W m-2, and 1.22 oC, respectively, for middle maize seasons. These simulation results were comparable with previous studies, indicating that the revised hybrid model is reasonable for estimating ET, surface energy balance as well as crop growth under various climate and seasons.

Last Modified: 10/20/2014
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