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A novel deep learning-based framework for forecasting

Congqi Cao Ze Sun Lanshu Hu Liujie Pan Yanning Zhang

Atmospheric and Oceanic Science Letters2026，Vol.19Issue(1)：P.22-26,5.

Atmospheric and Oceanic Science Letters2026，Vol.19Issue(1)：P.22-26,5.DOI:10.1016/j.aosl.2025.100653

A novel deep learning-based framework for forecasting

Congqi Cao ¹Ze Sun ¹Lanshu Hu ¹Liujie Pan ²Yanning Zhang¹

作者信息

1. National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology,School of Computer Science,Northwestern Polytechnical University,Xi’an,China
2. Shaanxi Provincial Meteorological Observatory,Xi’an,China
折叠

摘要

关键词

Weather forecasting/Deep learning/Semantic segmentation models/Learnable Gaussian noise/Cascade prediction

分类

天文与地球科学

引用本文复制引用

Congqi Cao,Ze Sun,Lanshu Hu,Liujie Pan,Yanning Zhang..A novel deep learning-based framework for forecasting[J].Atmospheric and Oceanic Science Letters,2026,19(1):P.22-26,5.

基金项目

supported by the National Natural Science Foundation of China[grant number 62376217] （）

the Young Elite Scientists Sponsorship Program by CAST[grant number 2023QNRC001] （）

the Joint Research Project for Meteorological Capacity Improvement[grant number 24NLTSZ003]。（）

Atmospheric and Oceanic Science Letters

ISSN：1674-2834

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