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ARS Home » Plains Area » El Reno, Oklahoma » Grazinglands Research Laboratory » Forage and Livestock Production Research » Research » Publications at this Location » Publication #337267

Title: Calibration and validationof DSSAT-CSM using lysimeter data for estimating daily ET in the Texas high plains

item ADHIKARI, P - Oklahoma State University
item Gowda, Prasanna
item Marek, Gary
item Brauer, David - Dave
item Northup, Brian
item ROCATELI, ALEX - Oklahoma State University

Submitted to: Miscellaneous Publishing Information Bulletin
Publication Type: Abstract Only
Publication Acceptance Date: 7/17/2017
Publication Date: 6/13/2017
Citation: Adhikari, P., Gowda, P.H., Marek, G.W., Brauer, D.K., Northup, B.K., Rocateli, A. 2017. Calibration and validationof DSSAT-CSM using lysimeter data for estimating daily ET in the Texas high plains [abstract]. 2017 UCOWR/NIWR Conference, June 13-15, 2018, Fort Collins, Colorado. Session 15, p. 43.

Interpretive Summary: Abstract Only.

Technical Abstract: Texas High Plains (THP) is one of the most important food and fiber producing regions in the Southern Great Plains. It is currently facing rapid decline of groundwater levels in the underlying Ogallala Aquifer. Predicted warm summers and high temporal variability in growing season precipitation in the future may demand growers to pump more groundwater from Ogallala Aquifer to meet higher crop water demand. The Decision Support System for Agrotechnology Transfer (DSSAT) Cropping System Model (CSM) is a widely used tool for evaluating impacts of different water and crop management practices including irrigation on crop yield and water use efficiency. In this study, CROPGRO-Cotton/Soybean, CERES-Sorghum/Maize/Wheat modules of the DSSAT-CSM will be calibrated and validated using long term data (1989-2010) from an irrigated and dryland lysimeter field managed by the USDA-ARS Conservation and Production Research Laboratory at Bushland, TX. Data will be divided equally for calibration and validation purposes. Crop growth characteristics, crop yield and ET between 1989 and 2010 crop growing seasons will be used for model calibration and validation. Calibration and validation results will be presented and discussed in detail.