Sub-Seasonal Precipitation Bias-Correction in Thailand Using Attention U-Net With Seasonal and Meteorological Effects
Author:
Affiliation:
1. Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Pathum Wan, Bangkok, Thailand
2. Hydro-Informatics Institute, Bangkok, Thailand
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10335653.pdf?arnumber=10335653
Reference26 articles.
1. Progress in subseasonal to seasonal prediction through a joint weather and climate community effort
2. The NCEP Climate Forecast System Version 2
3. The ERA5 global reanalysis
4. Empirical-Statistical Downscaling
5. Improvements in subseasonal forecasts of rainfall extremes by statistical postprocessing methods
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1. Statistical Post-Processing for Precipitation Forecast Through Deep Learning Coupling Large-Scale and Local-Scale Spatiotemporal Information;Water Resources Management;2024-09-14
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