Applicability of spline approximation in recovering the initial water temperature field in the problem of forecasting the Caspian Sea ice thickness

The method of crude approximation of an initial profile of temperature of seawater and the underlying ground layer from the data on 10 m wind speed, atmosphere bottom temperature and pressure, ice thickness, ground type, and long-term temperature at the bottom of the distinguished ground layer is considered. An example of applying such profile as initial in 3-day forecasting of the sea ice thickness is presented. Throughout the entire forecast period, the values of 2 m air temperature, 10 m wind speed, and surface pressure and radiation fluxes must be specified.

Authors

Publication Details

Journal
Hydrometeorological research and forecasting
Published
2024-10-18
DOI
https://doi.org/10.37162/2618-9631-2024-3-77-89
Primary Topic
Food Industry and Aquatic Biology
Type
article
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article

Applicability of spline approximation in recovering the initial water temperature field in the problem of forecasting the Caspian Sea ice thickness

D. Ya. Pressman
Hydrometeorological research and forecasting
Food Industry and Aquatic Biology
article

Applicability of spline approximation in recovering the initial water temperature field in the problem of forecasting the Caspian Sea ice thickness

D. Ya. Pressman
article en

Abstract

The method of crude approximation of an initial profile of temperature of seawater and the underlying ground layer from the data on 10 m wind speed, atmosphere bottom temperature and pressure, ice thickness, ground type, and long-term temperature at the bottom of the distinguished ground layer is considered. An example of applying such profile as initial in 3-day forecasting of the sea ice thickness is presented. Throughout the entire forecast period, the values of 2 m air temperature, 10 m wind speed, and surface pressure and radiation fluxes must be specified.

Hydrometeorological research and forecastingVol. 3
Life below water
Openalex Percentile: Top 78%
Food Industry and Aquatic Biology
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