Correction and assimilation the date of water objects surface temperature hydrological observations

The paper proposes an algorithm for correcting the data of hydrological observations of water temperature and an algorithm for assimilating corrected data for calculations of water body surface temperatures in Russia. The temperatures are used in initial data for computing global medium-range weather forecasts with the new version of the SLAV10 model with a grid spacing of about 10 km. The correction algorithm for hydrological observations of water temperature makes it possible to eliminate ambiguity in temperature coding at most gauging stations. The assimilation of corrected hydrological observations allows reducing water body surface temperature errors in the SLAV10 model initial data as compared to specifying water temperature from the data of the nearest land points.

Authors

Publication Details

Journal
Hydrometeorological research and forecasting
Published
2024-12-20
DOI
https://doi.org/10.37162/2618-9631-2024-4-78-89
Primary Topic
Geological Studies and Exploration
Type
article
Field-Weighted Citation Impact
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article

Correction and assimilation the date of water objects surface temperature hydrological observations

V. S. Rogutov
Hydrometeorological research and forecasting
Geological Studies and Exploration
article

Correction and assimilation the date of water objects surface temperature hydrological observations

V. S. Rogutov
article en

Abstract

The paper proposes an algorithm for correcting the data of hydrological observations of water temperature and an algorithm for assimilating corrected data for calculations of water body surface temperatures in Russia. The temperatures are used in initial data for computing global medium-range weather forecasts with the new version of the SLAV10 model with a grid spacing of about 10 km. The correction algorithm for hydrological observations of water temperature makes it possible to eliminate ambiguity in temperature coding at most gauging stations. The assimilation of corrected hydrological observations allows reducing water body surface temperature errors in the SLAV10 model initial data as compared to specifying water temperature from the data of the nearest land points.

Hydrometeorological research and forecastingVol. 4
Openalex Percentile: Top 52%
Geological Studies and Exploration
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