ECMWF short-term prediction accuracy improvement by deep learning
Abstract This paper aims to describe and evaluate the proposed calibration model based on a neural network for post-processing of two essential meteorological parameters, namely near-surface air temperature (2 m) and 24 h accumulated precipitation. The main idea behind this work is to improve short-...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-05-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-11936-9 |