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...

Full description

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

Internet

https://www.mdpi.com/2076-3417/10/17/5808

Similar Items