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Deeplearning-based approach to improving numerical weather forecasts

This paper briefly describes the history of numerical weather prediction development. The difficulties, which occur in the modelling of atmospheric processes, their nature and possible ways of their mitigation, are described. It also indicates alternative methods of improving the quality of meteorol...

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Bibliographic Details
Date:	2023
Main Authors:	Doroshenko, А.Yu., Shpyg, V.M., Kushnirenko, R.V.
Format:	Article
Language:	Ukrainian
Published:	PROBLEMS IN PROGRAMMING 2023
Subjects:	deep learning numerical weather prediction COSMO 2m temperature UDC 51:681.3.06
Online Access:	https://pp.isofts.kiev.ua/index.php/ojs1/article/view/585
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Journal Title:	Problems in programming
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