DOI: 10.5194/hess-20-411-2016
Scopus记录号: 2-s2.0-84961361967
论文题名: Spatio-temporal variability of snow water equivalent in the extra-tropical Andes Cordillera from distributed energy balance modeling and remotely sensed snow cover
作者: Cornwell E ; , Molotch N ; P ; , McPhee J
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 1 起始页码: 411
结束页码: 430
语种: 英语
Scopus关键词: Climate models
; Energy balance
; Remote sensing
; Snow melting systems
; Water resources
; Coefficient of determination
; Energy balance models
; Meteorological station
; Regional climate modeling
; Seasonal forecast models
; Snow water equivalent
; Spatiotemporal variability
; Water resource infrastructure
; Snow
; climate modeling
; infrastructural development
; model test
; model validation
; natural resource
; regional climate
; remote sensing
; seasonal variation
; snow cover
; snow water equivalent
; spatial distribution
; spatial variation
; temporal variation
; water resource
; Andes
; Argentina
; Chile
; Cordillera
; Paraguay
英文摘要: Seasonal snow cover is the primary water source for human use and ecosystems along the extratropical Andes Cordillera. Despite its importance, relatively little research has been devoted to understanding the properties, distribution and variability of this natural resource. This research provides high-resolution (500 m), daily distributed estimates of end-of-winter and spring snow water equivalent over a 152 000 km2 domain that includes the mountainous reaches of central Chile and Argentina. Remotely sensed fractional snow-covered area and other relevant forcings are combined with extrapolated data from meteorological stations and a simplified physically based energy balance model in order to obtain melt-season melt fluxes that are then aggregated to estimate the end-of-winter (or peak) snow water equivalent (SWE). Peak SWE estimates show an overall coefficient of determination R2 of 0.68 and RMSE of 274 mm compared to observations at 12 automatic snow water equivalent sensors distributed across the model domain, with R2 values between 0.32 and 0.88. Regional estimates of peak SWE accumulation show differential patterns strongly modulated by elevation, latitude and position relative to the continental divide. The spatial distribution of peak SWE shows that the 4000-5000 m a.s.l. elevation band is significant for snow accumulation, despite having a smaller surface area than the 3000-4000 m a.s.l. band. On average, maximum snow accumulation is observed in early September in the western Andes, and in early October on the eastern side of the continental divide. The results presented here have the potential of informing applications such as seasonal forecast model assessment and improvement, regional climate model validation, as well as evaluation of observational networks and water resource infrastructure development. © Author(s) 2016. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78930
Appears in Collections: 气候变化事实与影响
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作者单位: Advanced Mining Technology Center, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Santiago, Chile; Department of Geography, Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Departamento de Ingeniería Civil, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Santiago, Chile
Recommended Citation:
Cornwell E,, Molotch N,P,et al. Spatio-temporal variability of snow water equivalent in the extra-tropical Andes Cordillera from distributed energy balance modeling and remotely sensed snow cover[J]. Hydrology and Earth System Sciences,2016-01-01,20(1)