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Modeling the effects of irrigation on land surface fluxes and states over the conterminous United States: Sensitivity to input data and model parameters
Leng, GuoYong(冷国勇); Huang, MY; Tang, QH; Sacks, WJ; Lei, HM; Leung, LR
2013
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
Volume118Issue:17Pages:9789-9803
Corresponding AuthorHuang, MY
AbstractPrevious studies on irrigation impacts on land surface fluxes/states were mainly conducted as sensitivity experiments, with limited analysis of uncertainties from the input data and model irrigation schemes used. In this study, we calibrated and evaluated the performance of irrigation water use simulated by the Community Land Model version 4 (CLM4) against observations from agriculture census. We investigated the impacts of irrigation on land surface fluxes and states over the conterminous United States (CONUS) and explored possible directions of improvement. Specifically, we found large uncertainty in the irrigation area data from two widely used sources and CLM4 tended to produce unrealistically large temporal variations of irrigation demand for applications at the water resources region scale over CONUS. At seasonal to interannual time scales, the effects of irrigation on surface energy partitioning appeared to be large and persistent, and more pronounced in dry than wet years. Even with model calibration to yield overall good agreement with the irrigation amounts from the National Agricultural Statistics Service, differences between the two irrigation area data sets still dominate the differences in the interannual variability of land surface responses to irrigation. Our results suggest that irrigation amount simulated by CLM4 can be improved by calibrating model parameter values and accurate representation of the spatial distribution and intensity of irrigated areas. Furthermore, through a set of numerical experiments, the deficiency in the current parameterization is evaluated and a critical path forward to a realistic assessment of irrigation impacts using an earth system modeling approach is recommended.
KeywordIrrigation Clm4 Uncertainties
Indexed BySCI
Funding OrganizationIntegrated Earth System Modeling (iESM) project;Department of Energy Earth System Modeling program;U.S. Department of Energy DE-AC05-76RLO1830;National Natural Science Foundation of China 41171031;National Basic Research Program of China 2012CB955403
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/28599
Collection研究生部
Corresponding AuthorHuang, MY
Recommended Citation
GB/T 7714
Leng, GuoYong,Huang, MY,Tang, QH,et al. Modeling the effects of irrigation on land surface fluxes and states over the conterminous United States: Sensitivity to input data and model parameters[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2013,118(17):9789-9803.
APA Leng, GuoYong,Huang, MY,Tang, QH,Sacks, WJ,Lei, HM,&Leung, LR.(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(17),9789-9803.
MLA Leng, GuoYong,et al."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 118.17(2013):9789-9803.
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