DOI: 10.5194/hess-18-3095-2014
Scopus记录号: 2-s2.0-84924981204
论文题名: Using similarity of soil texture and hydroclimate to enhance soil moisture estimation
作者: Coopersmith E ; J ; , Minsker B ; S ; , Sivapalan M
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 8 起始页码: 3095
结束页码: 3107
语种: 英语
Scopus关键词: Calibration
; Soil moisture
; Textures
; Calibration and validations
; Classification system
; Climate analysis
; In-situ sensors
; Soil moisture estimation
; Soil moisture model
; Sparse network
; Time-series data
; Soil surveys
; calibration
; climate effect
; climate modeling
; error analysis
; estimation method
; soil analysis
; soil moisture
; soil texture
英文摘要: Estimating soil moisture typically involves calibrating models to sparse networks of in situ sensors, which introduces considerable error in locations where sensors are not available. We address this issue by calibrating parameters of a parsimonious soil moisture model, which requires only antecedent precipitation information, at gauged locations and then extrapolating these values to ungauged locations via a hydroclimatic classification system. Fifteen sites within the Soil Climate Analysis Network (SCAN) containing multiyear time series data for precipitation and soil moisture are used to calibrate the model. By calibrating at 1 of these 15 sites and validating at another, we observe that the best results are obtained where calibration and validation occur within the same hydroclimatic class. Additionally, soil texture data are tested for their importance in improving predictions between calibration and validation sites. Results have the largest errors when calibration-validation pairs differ hydroclimatically and edaphically, improve when one of these two characteristics are aligned, and are strongest when the calibration and validation sites are hydroclimatically and edaphically similar. These findings indicate considerable promise for improving soil moisture estimation in ungauged locations by considering these similarities. © Author(s) 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78163
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States; Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States
Recommended Citation:
Coopersmith E,J,, Minsker B,et al. Using similarity of soil texture and hydroclimate to enhance soil moisture estimation[J]. Hydrology and Earth System Sciences,2014-01-01,18(8)