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| Titel |
Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data |
| VerfasserIn |
A. Gafurov, S. Vorogushyn, D. Farinotti, D. Duethmann, A. Merkushkin, B. Merz |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1994-0416
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| Digitales Dokument |
URL |
| Erschienen |
In: The Cryosphere ; 9, no. 2 ; Nr. 9, no. 2 (2015-03-04), S.451-463 |
| Datensatznummer |
250116762
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| Publikation (Nr.) |
 copernicus.org/tc-9-451-2015.pdf |
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| Zusammenfassung |
| 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. |
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