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| Titel |
MODSNOW-Tool: an operational tool for daily snow cover monitoring using MODIS data |
| VerfasserIn |
Abror Gafurov, Stefan Lüdtke, Katy Unger-Shayesteh, Sergiy Vorogushyn, Tilo Schöne, Sebastian Schmidt, Olga Kalashnikova, Bruno Merz |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250151318
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| Publikation (Nr.) |
 EGU/EGU2017-15884.pdf |
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| Zusammenfassung |
| Spatially distributed snow cover information in mountain areas is extremely important for water storage estimations, seasonal water availability forecasting, or the assessment of snow-related hazards (e.g. enhanced snow-melt following intensive rains, or avalanche events). Moreover, spatially distributed snow cover information can be used to calibrate and/or validate hydrological models.
We present the MODSNOW-Tool – an operational monitoring tool offers a user-friendly application which can be used for catchment-based operational snow cover monitoring. The application automatically downloads and processes freely available daily Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover data.
The MODSNOW-Tool uses a step-wise approach for cloud removal and delivers cloud-free snow cover maps for the selected river basins including basin specific snow cover extent statistics.
The accuracy of cloud-eliminated MODSNOW snow cover maps was validated for 84 almost cloud-free days in the Karadarya river basin in Central Asia, and an average accuracy of 94 % was achieved. The MODSNOW-Tool can be used in operational and non-operational mode. In the operational mode, the tool is set up as a scheduled task on a local computer allowing automatic execution without user interaction and delivers snow cover maps on a daily basis. In the non-operational mode, the tool can be used to process historical time series
of snow cover maps.
The MODSNOW-Tool is currently implemented and in use at the national hydrometeorological services of four Central Asian states – Kazakhstan, Kyrgyzstan, Uzbekistan and Turkmenistan and used for seasonal water availability forecast. |
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