Research Keyword Hydrology
Dr. Sorooshian is a member of the National Academy of Engineering (NAE); Corresponding Member, International Academy of Astronautics (IAA); Fellow, American Association for the Advancement of Science (AAAS); Fellow, American Geophysical Union (AGU); Fellow, American Meteorological Society (AMS); Fellow, International Water Resources Association (IWRA); Chair, Science Steering Group (SSG) of Global Energy and Water Cycle Experiment (GEWEX) of the World Climate Research Programme (WCRP); Member, UCAR Board of Trustees; Past-President of AGU's Hydrology Section; member of four editorial boards and former editor of AGU's Water Resources Research; Emeritus Member, NOAA Science Advisory Board; U.S. Member of the Hydrology Commission for WMO. He has served on numerous advisory committees, including those of NRC, NASA, NOAA, NSF, EPA, and UNESCO.
Professor Sorooshian delivered the William Nordberg Memorial Lecture at the Goddard Scientific Colloquium in 2004, and he is the recipient of the NASA Distinguished Public Service Medal, 2005 - "For your distinguished record in providing scientific leadership for global water cycle research and assuring that NASA science is well integrated into international programs."
In 2007, the United Nations Educational, Scientific and Cultural Organization (UNESCO) has named the Center for Hydrometeorology and Remote Sensing (CHRS) at UC Irvine and the National Science Foundation Science and
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. Imam is interested in the application of satellite data, Geographic Information Systems (GIS), and information technologies in hydrology and water resources.
His current research activities focus on the utilization of remote sensing data to study the impacts of climate variability on water resource availability and hydrologic responses of both urban and natural watersheds, and to improve the representation spatial variability of hydrologic properties and processes in predictive models using geostatistical and uncertainty analysis techniques.
Dr. Imam collaborates with scientists from several agencies including NASA, the National Weather Service, and the USDA-Agricultural Research Service.
As a member of the Center for Hydrometeorology and Remote Sensing (CHRS), HSSOE Department of Civil & Environmental Engineering, Dr. Imam works on several projects aiming at improving access to and utility of remote sensing data to scientists and to decision makers.
Dr. Gao's research is in the characterization of hydrometeorology using coupled atmosphere-land surface models. He studies mesocale and hydrological modeling for understanding the changes and variations of climate and hydrology over the global arid and semi-arid regions and searching the applications of model predictions in the regional hydrology and water resources.
Dr. Gao also is working on using satellite remotely sensed information to retrieve physical variables of atmosphere, land surface, and ocean, which include the global precipitation (rainfall and snowfall), clouds, sea surface temperature, and vegetation parameters. Current research focuses on the data assimilation, ensemble forecasts to improve the predictability of mesoscale models.
He is currently doing research for the Center for Hydrology & Remote Sensing (CHRS), HSSOE Department of Civil & Environmental Engineering.
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