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no irrigation MODIS, no calibration GMIA, no calibration MODIS, calibrated GMIA, calibrated

Modeling the Effects of Irrigation on Land Surface Fluxes and States over the Conterminous United States: Sensitivity to Input Data and Model Parameters. By including irrigation and calibrating the model parameters, simulated evapotranspiration by CLM could be greatly improved. Objective

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no irrigation MODIS, no calibration GMIA, no calibration MODIS, calibrated GMIA, calibrated

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  1. Modeling the Effects of Irrigation on Land Surface Fluxes and States over the Conterminous United States: Sensitivity to Input Data and Model Parameters By including irrigation and calibrating the model parameters, simulated evapotranspiration by CLM could be greatly improved. • Objective • Evaluate and improve irrigation simulations from the Community Land Model (CLM) • Approach • Assess the performance of the irrigation scheme in CLM4 using different prescribed irrigated area maps • Calibrate the related model parameters using observational irrigation water amount from agricultural census • Investigate the impacts of irrigation on land surface fluxes and states over the conterminous United States and explore possible improvements Simulated ET (mm/mon) no irrigation MODIS, no calibration GMIA, no calibration MODIS, calibrated GMIA, calibrated MODIS ET (mm/mon) Impact • Effects of irrigation on surface energy partitioning appear large and persistent for seasonal to interannual time scales, and more pronounced in dry than wet years • CLM4 irrigation amount simulated can be improved by calibrating model parameters and accurately representing the spatial distribution and intensity of irrigated areas • Recommend a realistic assessment of irrigation impacts using an earth system modeling approach. Leng G, M Huang, Q Tang, WJ Sacks, H Lei, and LR Leung. 2013. “Modeling the Effects of Irrigation on Land Surface Fluxes and states over the Conterminous United States: Sensitivity to Input Data and Model Parameters.” Journal of Geophysical Research – Atmospheres, 118, 9789–9803, doi:10.1002/jgrd.50792.

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