Grid-to-Point Deep-Learning Error Correction for the Surface Weather Forecasts of a Fine-Scale Numerical Weather Prediction System

Grid-to-Point Deep-Learning Error Correction for the Surface Weather Forecasts of a Fine-Scale Numerical Weather Prediction System

Forecasts of numerical weather prediction models unavoidably contain errors, and it is a common practice to post-process the model output and correct the error for the proper use of the forecasts. This study develops a grid-to-multipoint (G2N) model output error correction scheme which extracts mode...

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Bibliographic Details
Main Authors: Yu Qin, Yubao Liu, Xinyu Jiang, Li Yang, Haixiang Xu, Yueqin Shi, Zhaoyang Huo
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Atmosphere
Subjects:
deep learning
NWP
post-processing
grid to stations
forecast error correction
Online Access:https://www.mdpi.com/2073-4433/14/1/145

Internet

https://www.mdpi.com/2073-4433/14/1/145

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