Application of machine learning to improving numerical weather prediction

• Date: 2020
• Main Authors: Doroshenko, А.Yu., Shpyg, V.M., Kushnirenko, R.V.
• Format: Article
• Language: Ukrainian
• Published: PROBLEMS IN PROGRAMMING 2020
• Subjects: neural network; numerical model; COSMO; forecast; air temperature; UDC 51:681.3.06
• Online Access: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/430
• Journal Title: Problems in programming

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...