基本信息
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职业迁徙
个人简介
Dr. Hsu works in the area of remote sensing of precipitation and hydrologic system modeling. He is specifically interested in the development artificial intelligent and remote sensing techniques in the classification and decision making of hydrologic systems.
Dr. Hsu's current research activities are in the development of PERSIANN system to accurately determine the spatial and temporal distribution of precipitation using information from satellite and in situ (radar and gauge) observations. The classification of precipitation type (rain or snow) during the cold seasons and uncertainty analysis of model estimates are being investigated. He is also involved in the watershed hydrologic modeling using remote sensing data.
He is currently doing research for the Center for Hydrology & Remote Sensing (CHRS), HSSOE Department of Civil & Environmental Engineering.
Dr Hsu’s research covers remote sensing hydrology and hydrologic modeling/prediction. He is active in the area of remote sensing precipitation and data-model assimilation applications. His general research activities include:
• Improving hydrologic prediction and water resources management using artificial intelligence and machine learning approaches
• Applying Bayesian Monte Carlo methods for hydrologic prediction and uncertainty analysis
• Developing multi-model ensemble techniques in the hydrologic prediction
• Integrating multiple satellite information for global precipitation measurement
• Applying satellite data for hydrologic applications (floods, droughts, and water resources monitoring)
• Studying the uncertainty of remote sensing and in-situ observations and their impact to hydrologic predictions
Research Interests
Remote sensing of precipitation, hydrologic systems modeling, stochastic hydrology, and water resources systems planning
Dr. Hsu's current research activities are in the development of PERSIANN system to accurately determine the spatial and temporal distribution of precipitation using information from satellite and in situ (radar and gauge) observations. The classification of precipitation type (rain or snow) during the cold seasons and uncertainty analysis of model estimates are being investigated. He is also involved in the watershed hydrologic modeling using remote sensing data.
He is currently doing research for the Center for Hydrology & Remote Sensing (CHRS), HSSOE Department of Civil & Environmental Engineering.
Dr Hsu’s research covers remote sensing hydrology and hydrologic modeling/prediction. He is active in the area of remote sensing precipitation and data-model assimilation applications. His general research activities include:
• Improving hydrologic prediction and water resources management using artificial intelligence and machine learning approaches
• Applying Bayesian Monte Carlo methods for hydrologic prediction and uncertainty analysis
• Developing multi-model ensemble techniques in the hydrologic prediction
• Integrating multiple satellite information for global precipitation measurement
• Applying satellite data for hydrologic applications (floods, droughts, and water resources monitoring)
• Studying the uncertainty of remote sensing and in-situ observations and their impact to hydrologic predictions
Research Interests
Remote sensing of precipitation, hydrologic systems modeling, stochastic hydrology, and water resources systems planning
研究兴趣
论文共 315 篇作者统计合作学者相似作者
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JOURNAL OF HYDROLOGY (2024)
Journal of Hydrology (2024): 130623
JOURNAL OF HYDROMETEOROLOGYno. 11 (2023): 1939-1954
Advances in Water Resources (2023): 104449-104449
引用1浏览0WOS引用
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GEOHEALTHno. 12 (2023): e2023GH000868-e2023GH000868
Vesta Afzali Gorooh,Kuolin Hsu,Ralph Ferraro, Joe Turk,Huan Meng,Phu Nguyen, Claudia Jimenez Arellano,Satya Kalluri,Soroosh Sorooshian
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETYno. 10 (2023): E1764-E1771
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The American journal of tropical medicine and hygieneno. 4_Suppl (2022): 5-13
Water Resources Researchno. 5 (2022)
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