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Morphology–aware spatiotemporal prediction of cumulonimbus–related radar echoes using CSDP–Net
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Metadata
- Authors
- Wang, D., Wang, X., Cheng, Z., Chang, X., Yuan, H., Yang, J., Liang, Y., Hu, J., & Zhang, T.
- Affiliations
- Guangdong Mechanical & Electrical Polytechnic (CN)
- Guangzhou University (CN)
- Guangdong Polytechnic of Industry and Commerce (CN)
- Dalian Jiaotong University (CN)
- Quzhou University (CN)
- Guangxi Minzu University (CN)
- Corresponding author
- Wang, Deyi
- Chang, Xin
- Venue
- Theoretical and Applied Climatology
- Published
- 2026-04-28
- Volume
- 157
- Issue
- 5
- ISSN
- 0066-6424 (ISSN-L)
- 0177-798X
- 1434-4483
- OpenAlex
- W7156115497
- Cited by
- 0
- References
- 6
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Theoretical and Applied Climatology (publishedVersion)
- Research Square (acceptedVersion, cc-by)
- Funders
- Foundation for Young Talents in Higher Education of Guangdong (2024KQNCX314, 2024KQNCX309)
- Guangdong Mechanical and Electrical Polytechnic Research Project (Gccrcxm-202303, YJYB2023-73)
- National Natural Science Foundation of China (62403145)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Precipitation Measurement and Analysis
- Keywords
- cumulonimbus, spatiotemporal prediction, boundary detection, feature fusion, weather radar
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