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Comparison of Evapotranspiration Simulation Performance by APEX Model in Dryland and Irrigated Cropping Systems
Author(s) -
Tadesse Haile K.,
Moriasi Daniel N.,
Gowda Prasanna H.,
Steiner Jean L.,
Talebizadeh Mansour,
Nelson Amanda M.,
Starks Patrick J.,
Marek Gary
Publication year - 2019
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/1752-1688.12759
Subject(s) - evapotranspiration , lysimeter , environmental science , cropping system , dryland farming , cropping , water balance , multiple cropping , hydrology (agriculture) , crop coefficient , aquifer , agricultural engineering , mathematics , soil water , soil science , agriculture , groundwater , geology , engineering , geography , ecology , geotechnical engineering , archaeology , biology
Accurate estimation of evapotranspiration (ET) is essential to improve water use efficiency of crop production systems managed under different water regimes. The Agricultural Policy/Environmental eXtender (APEX) model was used to simulate ET using four potential ET (ET p ) methods. The objectives were to determine sensitive ET parameters in dryland and irrigated cropping systems and compare ET simulation in the two systems using multiple performance criteria. Measured ET and crop yield data from lysimeter fields located in the United States Department of Agriculture‐Agricultural Research Service Bushland, Texas were used for evaluation. The number of sensitive parameters was higher for dryland (11–14) than irrigated cropping systems (6–8). Only four input parameters: soil evaporation plant cover factor, root growth soil strength, maximum rain intercept, and rain intercept coefficient were sensitive in both cropping systems. Overall, it is possible to find a set of robust parameter values to simulate ET accurately in APEX in both cropping systems using any ET p method. However, more computation time is required for dryland than irrigated cropping system due to a relatively larger number of sensitive input parameters. When all inputs are available, the Penman–Monteith method takes the shortest computation time to obtain one model run with robust parameter values in both cropping systems. However, in areas with limited datasets, one can still obtain reasonable ET simulations using either Priestley–Taylor or Hargreaves. Editor's note : This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series .