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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| Date: | 2020 |
|---|---|
| Main Authors: | Doroshenko, А.Yu., Shpyg, V.M., Kushnirenko, R.V. |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
PROBLEMS IN PROGRAMMING
2020
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| 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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