Application of machine learning to improving numerical weather prediction

In this paper are presented a brief overview of trends in numerical weather prediction, difficulties and the nature of their occurrence, the existing and perspective ways to overcome them. The neural network architecture is proposed as a promising approach to increase the accuracy of the 2m temperat...

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Bibliographic Details
Published in:PROBLEMS IN PROGRAMMING
Date:2020
Issue:2-3
Pages:375-383
ISSN:1727-4907
Author Affiliations:
  • А.Yu. Doroshenko — Institute of Software Systems NAS of Ukraine
  • V.M. Shpyg — Ukrainian Hydrometeorological Institute of the State Emergency Service of Ukraine and the National Academy of Sciences of Ukraine
  • R.V. Kushnirenko — Institute of Software Systems NAS of Ukraine
Main Authors: Doroshenko, А.Yu., Shpyg, V.M., Kushnirenko, R.V.
Format: Article
Language:Ukrainian
Published: PROBLEMS IN PROGRAMMING 2020
Subjects:
Online Access:https://pp.isofts.kiev.ua/index.php/ojs1/article/view/430
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Journal Title:Problems in programming
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Problems in programming