Temperature forecasting by deep learning methods
<p>Numerical weather prediction (NWP) models solve a system of partial differential equations based on physical laws to forecast the future state of the atmosphere. These models are deployed operationally, but they are computationally very expensive. Recently, the potential of deep neural netw...
Main Authors: | B. Gong, M. Langguth, Y. Ji, A. Mozaffari, S. Stadtler, K. Mache, M. G. Schultz |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2022-12-01
|
Series: | Geoscientific Model Development |
Online Access: | https://gmd.copernicus.org/articles/15/8931/2022/gmd-15-8931-2022.pdf |
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