MMSTN: A Multi‐Modal Spatial‐Temporal Network for Tropical Cyclone Short‐Term Prediction-Reference-Cited by-同舟云学术

MMSTN: A Multi‐Modal Spatial‐Temporal Network for Tropical Cyclone Short‐Term Prediction

Published:2022-02-23 Issue:4 Volume:49 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophysical Research Letters

Author:

Huang Cheng¹^ORCID,Bai Cong¹²^ORCID,Chan Sixian¹³,Zhang Jinglin⁴^ORCID

Affiliation:

1. College of Computer Science and Technology Zhejiang University of Technology Hangzhou China

2. Key Laboratory of Visual Media Intelligent Processing Technology of Zhejiang Province Hangzhou China

3. Key Laboratory of Meteorological Disaster Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science & Technology Nanjing China

4. College of Artificial Intelligence Hebei University of Technology Tianjin China

Funder

National Key Research and Development Program of China

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021GL096898

Reference30 articles.

1. Predicting Hurricane Trajectories Using a Recurrent Neural Network

2. UniPose: Unified Human Pose Estimation in Single Images and Videos

3. Machine Learning in Tropical Cyclone Forecast Modeling: A Review

4. Development of a Convection‐Permitting Air‐Sea‐Coupled Ensemble Data Assimilation System for Tropical Cyclone Prediction

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