2022
DOI: 10.38028/esr.2022.04.0002
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A Technology for Predictive Estimation of Meteorological Parameters on the Basis of the Global Climate Model CFSv2

Abstract: The paper presents a technology for predictive estimation of meteorological indicators based on the global climate model CFSv2. This technology provides continuous monitoring of current and prognostic indicators of the state of the atmosphere (temperature, pressure, humidity, precipitation, etc.) in the catchment basin of Lake Baikal. The monitoring and data analysis tasks are briefly described as well as the operation algorithms for the main software components intended to obtain predictive distributions of w… Show more

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