Kuo-lin HsuAssistant Adjunct Professor, Civil & Environmental Engineering |
|
|
Research Interests |
Remote sensing of precipitation, hydrologic systems modeling, stochastic hydrology, and water resources systems planning | |
| URL | CEE Dept faculty profile, link to CV & Publications | |
|
Research Abstract |
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. |
|
| Publications |
Published Li, J., X. Gao, R.A. Maddox, S. Sorooshian, and K. Hsu, Summer Weather Simulation for the Semi-Arid Lower Colorado River Basin: Case Tests, Monthly Weather Review, Vol. 131, No.3, 521-541, 2003 Li, J., X. Gao, R.A. Maddox, S. Sorooshian, and K. Hsu, A Numerical Investigation of the Storm Structure and Evolution in the 1999 Las Vegas Flooding, Monthly Weather Review, Vol. 131, No. 9, 2003 Hsu, K., S. Sorooshian, X. Gao, and B. Imam, Global precipitation observations from the PERSIANN system, GEWEX News, 13(3), 11-12, 2003 Tapiador, F.J., C. Kidd, and K. Hsu, Neural Networks in Satellite Rainfall Estimation, Meteorological Applications, Vol. 11, 1-9, 2004 Moradkhani, H., K. Hsu, H. Gupta, and S. Sorooshian, Improved Streamflow Forecasting using Self-organizing Radial Basis Function Artificial Neural Networks, Journal of Hydrology, Vol. 295, 246-262, 2004 In Press Hong, Y., K. Hsu, X. Gao, and S. Sorooshian, Precipitation Estimation from Remotely Sensed Information using An Artificial Neural Network—Cloud Classification System, Journal of Applied Meteorology, 2004 |
|
|
Professional Societies |
American Geophysical Union (AGU) American Meteorology Society (AMS) |
|
| Research Center | Center for Hydrometeorology & Remote Sensing (CHRS) http://www.chrs.web.uci.edu/ | |
| Link to this profile | http://www.faculty.uci.edu/profile.cfm?faculty_id=5092 | |
| Last updated | 10/16/2004 | |