Deeplearning-based approach to improving numerical weather forecasts

• Опубліковано в: PROBLEMS IN PROGRAMMING
• Дата: 2023
• Випуск: 3
• Сторінки: 91-98
• ISSN: 1727-4907
• Автори та афіліації: 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
• Автори: Doroshenko, А.Yu., Shpyg, V.M., Kushnirenko, R.V.
• Формат: Стаття
• Мова: Українська
• Опубліковано: PROBLEMS IN PROGRAMMING 2023
• Теми: deep learning; numerical weather prediction; COSMO; 2m temperature; UDC 51:681.3.06
• Онлайн доступ: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/585
• Назва журналу: Problems in programming

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...