DOI: 10.1002/jgrd.50792
论文题名: Modeling the effects of irrigation on land surface fluxes and states over the conterminous United States: Sensitivity to input data and model parameters
作者: Leng G. ; Huang M. ; Tang Q. ; Sacks W.J. ; Lei H. ; Leung L.R.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 17 起始页码: 9789
结束页码: 9803
语种: 英语
英文关键词: CLM4
; irrigation
; uncertainties
Scopus关键词: Calibration
; Computer simulation
; Experiments
; Input output programs
; Surface measurement
; Uncertainty analysis
; Water resources
; Water supply
; CLM4
; Community land models
; Interannual time scale
; Interannual variability
; Irrigation water use
; National agricultural statistics services
; Numerical experiments
; uncertainties
; Irrigation
; calibration
; data set
; flux measurement
; irrigation
; land surface
; numerical model
; observational method
; parameterization
; sensitivity analysis
; spatial distribution
; uncertainty analysis
; water resource
; United States
英文摘要: Previous 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. Key Points The effects of irrigation over the CONUS were investigated using CLM4Uncertainty in inputs results in large uncertainty in irrigation modelingIrrigation modeling can be improved by calibration or better input data sets ©2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63369
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
There are no files associated with this item.
作者单位: Institute of Geographic Sciences, Natural Resources Research, Chinese Academy of Sciences, Beijing, China; Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, United States; University of Chinese Academy of Sciences, Beijing, China; National Center for Atmospheric Research, Boulder, CO, United States; Department of Hydraulic Engineering, Tsinghua University, Beijing, China
Recommended Citation:
Leng G.,Huang M.,Tang Q.,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,2013-01-01,118(17)