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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Учреждение Российской академии наук Институт вычислительных технологий Сибирского отделения РАН
2005
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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) |
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CyberLeninka (Scientific Electronic Library) |
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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 |