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Kathryn Hsu

ORCID: 0009-0003-2267-6802
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About
Contact & Profiles
A5102651446
Research Areas
  • Hydrological Forecasting Using AI
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Educational and Technological Research
  • Traffic Prediction and Management Techniques

University of Colorado Colorado Springs
 2024

NOAA National Weather Service
 2024

 Evaluation of five global AI models for predicting weather in Eastern Asia and Western Pacific
OPENALEX - Publications 
Cheng-Chin Liu Kathryn Hsu Melinda S. Peng Der-Song Chen Pao‐Liang Chang and 7 more Ling‐Feng Hsiao Chin–Tzu Fong Jing-Shan Hong Chia-Ping Cheng Kuo-Chen Lu Chia-Rong Chen Hung‐Chi Kuo

10.1038/s41612-024-00769-0 article EN cc-by-nc-nd npj Climate and Atmospheric Science 2024-09-28
 Performance of Five Machine Learning-based Global Weather Prediction Models in the East Asia Region
OPENALEX - Publications 
Kathryn Hsu Cheng-Chin Liu Melinda S. Peng Der-Song Chen Pao‐Liang Chang and 7 more Ling‐Feng Hsiao Chin–Tzu Fong Jing‐Shan Hong Chia-Ping Cheng Kuo-Chen Lu Chia-Rong Chen Hung‐Chi Kuo

<title>Abstract</title> Recently, the development of artificial intelligence (AI) has led to fruition machine-learning (ML) based weather prediction (MLWP) systems. Five global models have emerged as notable contenders: Pangu-Weather, FourCastNet v2 (FCN2), GraphCast, FuXi, and FengWu. Despite utilizing different AI/ML methodologies, all five systems rely on ECMWF Reanalysis v5 (ERA5), their training dataset. This study evaluates performance these in Eastern Asia region from June November...

10.21203/rs.3.rs-4250353/v1 preprint EN cc-by Research Square (Research Square) 2024-04-19
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