Deep learning‐based postprocessing for hourly temperature forecasting

Deep learning‐based postprocessing for hourly temperature forecasting

Abstract In this article, a prediction model based on spatiotemporal stacked ResNet (Res‐STS) for hourly temperature prediction is designed. On the timescale, the Res‐STS removes the gate structure of the long short‐term memory (LSTM) model, and the data of multiple consecutive time nodes are stacke...

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Bibliographic Details
Main Authors: Li Zhou, He Chen, Lin Xu, Rong‐Hui Cai, Dong Chen
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:Meteorological Applications
Subjects:
ConvLSTM
high‐altitude region
hourly forecast
res‐STS
RMSE
temperature forecast
Online Access:https://doi.org/10.1002/met.2194

Internet

https://doi.org/10.1002/met.2194

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