ДИНАМИКО-СТАТИСТИЧЕСКИЙ МЕТОД ДЕТАЛИЗАЦИИ МЕТЕОРОЛОГИЧЕСКИХ ПАРАМЕТРОВ

Currently the main tool for the Weather Forecast is numerical modeling. In connection with this, in Russia and other countries different methods of downscaling have been developed. The method presented in this publication is a hybrid of statistical and energy balance models. Using this method we hav...

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Main Authors: Рубинштейн, К., Шмакин, А.
Format: Text
Language:unknown
Published: Учреждение Российской академии наук Институт вычислительных технологий Сибирского отделения РАН 2005
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Online Access:http://cyberleninka.ru/article/n/dinamiko-statisticheskiy-metod-detalizatsii-meteorologicheskih-parametrov
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spelling ftcyberleninka:oai:cyberleninka.ru:article/15142495 2023-05-15T17:54:58+02:00 ДИНАМИКО-СТАТИСТИЧЕСКИЙ МЕТОД ДЕТАЛИЗАЦИИ МЕТЕОРОЛОГИЧЕСКИХ ПАРАМЕТРОВ Рубинштейн, К. Шмакин, А. 2005 text/html http://cyberleninka.ru/article/n/dinamiko-statisticheskiy-metod-detalizatsii-meteorologicheskih-parametrov http://cyberleninka.ru/article_covers/15142495.png unknown Учреждение Российской академии наук Институт вычислительных технологий Сибирского отделения РАН text 2005 ftcyberleninka 2015-09-21T23:57:14Z Currently the main tool for the Weather Forecast is numerical modeling. In connection with this, in Russia and other countries different methods of downscaling have been developed. The method presented in this publication is a hybrid of statistical and energy balance models. Using this method we have the opportunity to make the spatial down-scaling not only at the points of location of the meteostations but in their vicinity as well. As an example, this method was applied for forecasts in the Pechora district. Text Pechora CyberLeninka (Scientific Electronic Library)
institution Open Polar
collection CyberLeninka (Scientific Electronic Library)
op_collection_id ftcyberleninka
language unknown
description Currently the main tool for the Weather Forecast is numerical modeling. In connection with this, in Russia and other countries different methods of downscaling have been developed. The method presented in this publication is a hybrid of statistical and energy balance models. Using this method we have the opportunity to make the spatial down-scaling not only at the points of location of the meteostations but in their vicinity as well. As an example, this method was applied for forecasts in the Pechora district.
format Text
author Рубинштейн, К.
Шмакин, А.
spellingShingle Рубинштейн, К.
Шмакин, А.
ДИНАМИКО-СТАТИСТИЧЕСКИЙ МЕТОД ДЕТАЛИЗАЦИИ МЕТЕОРОЛОГИЧЕСКИХ ПАРАМЕТРОВ
author_facet Рубинштейн, К.
Шмакин, А.
author_sort Рубинштейн, К.
title ДИНАМИКО-СТАТИСТИЧЕСКИЙ МЕТОД ДЕТАЛИЗАЦИИ МЕТЕОРОЛОГИЧЕСКИХ ПАРАМЕТРОВ
title_short ДИНАМИКО-СТАТИСТИЧЕСКИЙ МЕТОД ДЕТАЛИЗАЦИИ МЕТЕОРОЛОГИЧЕСКИХ ПАРАМЕТРОВ
title_full ДИНАМИКО-СТАТИСТИЧЕСКИЙ МЕТОД ДЕТАЛИЗАЦИИ МЕТЕОРОЛОГИЧЕСКИХ ПАРАМЕТРОВ
title_fullStr ДИНАМИКО-СТАТИСТИЧЕСКИЙ МЕТОД ДЕТАЛИЗАЦИИ МЕТЕОРОЛОГИЧЕСКИХ ПАРАМЕТРОВ
title_full_unstemmed ДИНАМИКО-СТАТИСТИЧЕСКИЙ МЕТОД ДЕТАЛИЗАЦИИ МЕТЕОРОЛОГИЧЕСКИХ ПАРАМЕТРОВ
title_sort динамико-статистический метод детализации метеорологических параметров
publisher Учреждение Российской академии наук Институт вычислительных технологий Сибирского отделения РАН
publishDate 2005
url http://cyberleninka.ru/article/n/dinamiko-statisticheskiy-metod-detalizatsii-meteorologicheskih-parametrov
http://cyberleninka.ru/article_covers/15142495.png
genre Pechora
genre_facet Pechora
_version_ 1766162834080661504