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Title: ANALYSES OF SIMULATIONS WITH GROUND AND SATELLITE DATA USING FULLY DISTRIBUTED HYDROLOGICAL MODEL
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ANALYSES OF SIMULATIONS WITH GROUND AND SATELLITE DATA USING FULLY DISTRIBUTED HYDROLOGICAL MODEL
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1314-2704
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English
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21
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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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During the last decades the extreme hydrometeorological events increased. Respectively the needs for more accurate estimation of the precipitation amounts have increased. One of the opportunities to get denser precipitation data in space and time is through the remote-sensing. Satellite-based products allow obtaining spatially distributed hydrologic variables and could be very useful in the modeling of the elements of the hydrological cycle. A big variety of hydrological models exist nowadays. In this study the fully-distributed, physically-based hydrological model TOPKAPI (TOPographic Kinematic APproximation and Integration) for simulating the rainfall-runoff processes is used. It is applied over a pilot watershed in Northwest Bulgaria (Ogosta river). Two types of precipitation data are used in this study: the precipitation from the H05b satellite product, produced in the framework of HSAF (Satellite Application Facility on Support to Operational Hydrology and Water Management) project, which is under the cap of EUMETSAT (European operational satellite agency for monitoring weather, climate and the environment); and the precipitation from the conventional monitoring stations of the National Institute of Meteorology and Hydrology in Bulgaria. There are presented analyses for two different from hydrological point of view years (2018 and 2019) - the first being wet year and the second - dry. Conclusions are on the simulations performed with the precipitation input data over the studied periods.
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conference
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21st International Multidisciplinary Scientific GeoConference SGEM 2021
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21st International Multidisciplinary Scientific GeoConference SGEM 2021, 16 - 22 August, 2021
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Proceedings Paper
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STEF92 Technology
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SGEM International Multidisciplinary Scientific GeoConference
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci & Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts & Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci
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9-16
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16 - 22 August, 2021
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website
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cdrom
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7950
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satellite data; hydrological modeling; fully distributed hydrological model
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