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A coupled surface resistance model to estimate crop evapotranspiration in arid region of northwest China
Authors:Sien Li  Xingmei Hao  Taisheng Du  Ling Tong  Jianhua Zhang  Shaozhong Kang
Institution:1. Center for Agricultural Water Research in China, China Agricultural University, Beijing, China;2. School of Life Sciences and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong
Abstract:The Penman–Monteith (PM) model has been widely used to estimate crop evapotranspiration (ET), but it performs poorly with sparse vegetation. By combining the Jarvis canopy resistance model and the soil resistance model, we have developed a coupled surface resistance model to address this issue. Maize field and vineyard ET, measured by the eddy covariance method during 2007 and 2008, were used to test the estimations produced by the PM model combined with our coupled surface resistance model and Jarvis model, respectively. Results indicate that PM model combined with the coupled surface resistance model produces higher determination coefficient and lower root mean square error when compared with the PM–Jarvis method, either for maize field or for the sparse vineyard, on half‐hourly or daily time scales. Our study confirms that the coupled surface resistance model produces higher accuracy than the Jarvis model and provides a method to calculate resistance parameters for using the PM model to simulate the ET of sparse vegetation. Copyright © 2013 John Wiley & Sons, Ltd.
Keywords:evapotranspiration  maize  Penman–  Monteith model  Jarvis canopy resistance model  sparse vegetation  vineyard
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