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Abstract: A Novel Hydro-information System for Improving NOAA’s AWIPS DSS for Disaster Management

2007 AGU Fall Meeting, December 10-14,San Francisco, CA

: A Novel Hydro-information System for Improving NOAA’s
AWIPS DSS for Disaster Management

Yao Liang1, Thomas Adams2, Xu Liang3, William Teng4, and Long Chiu5

1 Department of Computer and Information Science, Indiana Univ.-Purdue Univ. Indianapolis,IN
(Email: yliang@cs.iupui.edu)
2 NOAA National Weather Service, Ohio River Forecast Center, Wilmington, OH
(Email: Thomas.Adams@noaa.gov)
3 Dept. of Civil and Environmental Eng., University of Pittsburgh, Pittsburgh, PA
(Email: xuliang@engr.pitt.edu)
4 NASA Goddard Earth Sciences Data and Information Services Center, Greenbelt, MD
(Email: william.l.teng@nasa.gov
5 Center for Earth Sciences and Space Research, George Mason University, Fairfax, VA
(Email: lchiu@gmu.edu)

The U.S. National Weather Service (NWS) carries out its mission of protecting life and property from water-related disasters through improving forecast skills. The Advanced Weather Interactive Processing System (AWIPS), implemented by NWS in the 1990s, is employed to support its decision making in issuing forecasts, watches, and warnings for water-related disasters. A sub-Decision Support System (DSS) of the AWIPS is the NWS River Forecast System (NWSRFS), which is used to provide forecasts of floods and droughts. In this study, we focus on developing a novel hydro-information system to improve the forecast accuracy of the NWSRFS. In particular, our system will allow the automated flow of surface soil moisture satellite data from the Goddard Earth Sciences Data Information and Services Center (GES DISC) into NWSRFS through an extension of the Hydrological Integrated Data Environment (HIDE) system.  A spatial data assimilation framework, together with the NOAH model, will then be employed to assimilate improved evapotranspiration data to be inputted into the NWSRFS to thus improve the behavior of the NWSRFS in its forecasting skills, especially for droughts, and for disaster management.  Initial framework and investigations from this study will be presented and discussed.

http://disc.sci.gsfc.nasa.gov

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