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Possibilities of Using the COSMO-Ru System for Short-term Forecasting of Runoff of Russian Rivers.

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Title: Possibilities of Using the COSMO-Ru System for Short-term Forecasting of Runoff of Russian Rivers.
Authors: Blinov, D. V.1 (AUTHOR), Borshch, S. V.1 (AUTHOR), Vil'fand, R. M.1 (AUTHOR), Kolii, V. M.1 (AUTHOR), Rivin, G. S.1 (AUTHOR), Semenova, N. K.1 (AUTHOR), Simonov, Yu. A.1 (AUTHOR) simonov@mecom.ru, Khristoforov, A. V.1 (AUTHOR), Yumina, N. M.1 (AUTHOR)
Source: Russian Meteorology & Hydrology. Feb2023, Vol. 48 Issue 2, p89-96. 8p.
Subject Terms: *Runoff, *Atmospheric temperature, *Meteorological stations, *Forecasting, *Surface temperature
Abstract: An assessment of the possibilities of using the COSMO-Ru system for short-term forecasting of runoff of Russian rivers is carried out. An analysis of the forecast quality of the daily precipitation layer and average daily temperature of the surface air layer using this system is performed for 2081 weather stations. The quality characteristics of these forecasts are mapped. A forecast correction method was applied, which made it possible to increase the accuracy of forecasts on average by 20% for the precipitation layer and by 15% for air temperature. The quality of forecasting meteorological parameters averaged over the territory of 590 river basins turned out to be satisfactory for the precipitation layer and good for air temperature. The results give reason for a positive assessment of the possibilities of using the COSMO-Ru system for short-term forecasting of runoff of Russian rivers. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 163850654
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Possibilities of Using the COSMO-Ru System for Short-term Forecasting of Runoff of Russian Rivers.
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  Data: <searchLink fieldCode="AR" term="%22Blinov%2C+D%2E+V%2E%22">Blinov, D. V.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Borshch%2C+S%2E+V%2E%22">Borshch, S. V.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vil'fand%2C+R%2E+M%2E%22">Vil'fand, R. M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kolii%2C+V%2E+M%2E%22">Kolii, V. M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rivin%2C+G%2E+S%2E%22">Rivin, G. S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Semenova%2C+N%2E+K%2E%22">Semenova, N. K.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Simonov%2C+Yu%2E+A%2E%22">Simonov, Yu. A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> simonov@mecom.ru</i><br /><searchLink fieldCode="AR" term="%22Khristoforov%2C+A%2E+V%2E%22">Khristoforov, A. V.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yumina%2C+N%2E+M%2E%22">Yumina, N. M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Russian+Meteorology+%26+Hydrology%22">Russian Meteorology & Hydrology</searchLink>. Feb2023, Vol. 48 Issue 2, p89-96. 8p.
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  Data: *<searchLink fieldCode="DE" term="%22Runoff%22">Runoff</searchLink><br />*<searchLink fieldCode="DE" term="%22Atmospheric+temperature%22">Atmospheric temperature</searchLink><br />*<searchLink fieldCode="DE" term="%22Meteorological+stations%22">Meteorological stations</searchLink><br />*<searchLink fieldCode="DE" term="%22Forecasting%22">Forecasting</searchLink><br />*<searchLink fieldCode="DE" term="%22Surface+temperature%22">Surface temperature</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: An assessment of the possibilities of using the COSMO-Ru system for short-term forecasting of runoff of Russian rivers is carried out. An analysis of the forecast quality of the daily precipitation layer and average daily temperature of the surface air layer using this system is performed for 2081 weather stations. The quality characteristics of these forecasts are mapped. A forecast correction method was applied, which made it possible to increase the accuracy of forecasts on average by 20% for the precipitation layer and by 15% for air temperature. The quality of forecasting meteorological parameters averaged over the territory of 590 river basins turned out to be satisfactory for the precipitation layer and good for air temperature. The results give reason for a positive assessment of the possibilities of using the COSMO-Ru system for short-term forecasting of runoff of Russian rivers. [ABSTRACT FROM AUTHOR]
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      – SubjectFull: Meteorological stations
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              Text: Feb2023
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