A Model Output Deep Learning Method for Grid Temperature Forecasts in Tianjin Area

A Model Output Deep Learning Method for Grid Temperature Forecasts in Tianjin Area

In weather forecasting, numerical weather prediction (NWP) that is based on physical models requires proper post-processing before it can be applied to actual operations. Therefore, research on intelligent post-processing algorithms has always been an important topic in this field. This paper propos...

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Bibliographic Details
Main Authors:	Keran Chen, Ping Wang, Xiaojun Yang, Nan Zhang, Di Wang
Format:	Article
Language:	English
Published:	MDPI AG 2020-08-01
Series:	Applied Sciences
Subjects:	temperature forecast post-processing numerical weather prediction deep learning 3D CNN fully CNN
Online Access:	https://www.mdpi.com/2076-3417/10/17/5808

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