DOI: 10.5194/tc-9-451-2015
Scopus记录号: 2-s2.0-84923858156
论文题名: Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data
作者: Gafurov A ; , Vorogushyn S ; , Farinotti D ; , Duethmann D ; , Merkushkin A ; , Merz B
刊名: Cryosphere
ISSN: 19940416
出版年: 2015
卷: 9, 期: 2 起始页码: 451
结束页码: 463
语种: 英语
英文关键词: in situ measurement
; mountain region
; reconstruction
; remote sensing
; satellite data
; snow cover
; spatial distribution
; water availability
; weather station
; Zeravshan Basin
英文摘要: Spatially distributed snow-cover extent can be derived from remote sensing data with good accuracy. However, such data are available for recent decades only, after satellite missions with proper snow detection capabilities were launched. Yet, longer time series of snow-cover area are usually required, e.g., for hydrological model calibration or water availability assessment in the past. We present a methodology to reconstruct historical snow coverage using recently available remote sensing data and long-term point observations of snow depth from existing meteorological stations. The methodology is mainly based on correlations between station records and spatial snow-cover patterns. Additionally, topography and temporal persistence of snow patterns are taken into account. The methodology was applied to the Zerafshan River basin in Central Asia - a very data-sparse region. Reconstructed snow cover was cross validated against independent remote sensing data and shows an accuracy of about 85%. The methodology can be used in mountainous regions to overcome the data gap for earlier decades when the availability of remote sensing snow-cover data was strongly limited. © Author(s) 2015. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75330
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Department of Hydrology, GFZ German Research Centre for Geosciences, Potsdam, Germany; Uzbek Hydrometeorological Service (Uzhydromet), Tashkent, Uzbekistan; Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
Recommended Citation:
Gafurov A,, Vorogushyn S,, Farinotti D,et al. Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data[J]. Cryosphere,2015-01-01,9(2)