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  The value of spatially distributed snow products in improving hydrological forecasting and early warning of natural hazards in Central Asia

Gafurov, A., Mamaraimov, A. (2023): The value of spatially distributed snow products in improving hydrological forecasting and early warning of natural hazards in Central Asia, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3888

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020658 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020658_2
Genre: Conference Paper

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 Creators:
Gafurov, Abror1, 2, Author              
Mamaraimov, Adkham1, 2, Author              
Affiliations:
14.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146048              
2IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations, ou_5011304              

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 Abstract: Snow is an important hydrological component in Central Asia. The snowmelt contributes to more than 50 % of total water formation in the region. Many hydro-meteorological phenomena such as floods or droughts can be triggered by snowmelt amounts in Central Asia. The amount of snow accumulation in the mountains of Tian-Shan and Pamir also defines the availability of water for summer months to be used for agricultural production or re-filling of reservoirs for energy production in the winter period. Thus, it is of high importance to better understand the seasonal variation of snow in order to improve the quality of hydrological forecasts and early warning of natural hazards such as flash-floods. In this study, we present an approach of using spatially distributed snow cover and snow water equivalent data as predictors for hydrological forecasts at different time scales in selected river basins in Central Asia. Our analysis are based on limited data and mostly on remote sensing products as well as modeling techniques that allow us to apply the proposed approach in data-scarce regions such as Central Asia. The proposed methodologies are introduced to the National Meteorological and Hydrological Services (NMHS) of Central Asian countries and are operational currently to improve their services. Our validation in 10 selected river basins across Central Asia in the period from 2000 to 2020 showed an agreement of hydrological forecasts with actual river flow of 75 % or more.

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Language(s): eng - English
 Dates: 2023-07-112023-07-11
 Publication Status: Finally published
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.57757/IUGG23-3888
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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Place of Event: Berlin
Start-/End Date: 2023-07-11 - 2023-07-20

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Title: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Source Genre: Proceedings
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Publ. Info: Potsdam : GFZ German Research Centre for Geosciences
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