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APPLICATION OF ADVANCED TECHNOLOGIES IN SNOW HYDROLOGY RESEARCH TO SUPPORT WATER RESOURCES MANAGEMENT AND AGRICULTURE
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Olga Nitcheva; Polya Dobreva; Albena Vatralova; Donka Shopova; Vesselin Koutev
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10.5593/sgem2023/3.1
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1314-2704
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English
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23
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3.1
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• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA |
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Scientific research using advanced observation technologies and mathematical models aimed at estimating seasonal snow cover and its water equivalent (SWE) helps to reduce the costs of snow cover monitoring and improve the management of the soil-water-crop system. Following the above goals, this paper analyzes two approaches - the Community Land Model (CLM) producing own calculated data, and the ESA GlobSnow v.3.0 product based on the European Space Agency (ESA) GlobSnow project satellite data. The studies were carried out in the period 2016-2020 for the Sought Central Region of Bulgaria. The results indicate a significant reduction of snow. The SWE results of the CLM model (covering the whole study area) are compatible with the SWE data produced by the GlobSnow product, which is easy for use, but applicable only for non-mountainous areas.
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conference
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Proceedings of 23rd International Multidisciplinary Scientific GeoConference SGEM 2023
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23rd International Multidisciplinary Scientific GeoConference SGEM 2023, 03 - 09 July, 2023
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference SGEM
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
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35-44
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03 - 09 July, 2023
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website
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9128
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Snow hydrology, Snow Water Equivalent (SWE), Community Land Model (CLM), ESA GlobSnow v.3.0 database
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