HR: 0800h
AN: G11A-1190    [Abstracts]
TI: Use of Land Information System Products to Monitor and Forecast Drought and Flood Conditions in the Columbia River Basin
AU: * Arsenault, K
EM: kristi@hsb.gsfc.nasa.gov
AF: UMBC Goddard Earth Sciences and Technology Center, NASA Goddard Space Flight Center (Code 614.3), Greenbelt, MD 20771 United States
AU: Hunter, S
EM: smhunter@do.usbr.gov
AF: River Systems & Meteorology Group, US Bureau of Reclamation/Technical Services Center Denver Federal Center, D-8510 PO Box 25007, Denver, CO 80225-0007 United States
AU: Holroyd, E
EM: EHOLROYD@do.usbr.gov
AF: Remote Sensing and Geographic Information Group, U.S. Bureau of Reclamation P. O. Box 25007, Denver, CO 80225-0007 United States
AU: Houser, P
EM: phouser@gmu.edu
AF: George Mason University and Center for Research on Environment and Water, 4041 Powder Mill Road, Suite 302, Calverton, MD 20705-3106 United States
AB: The Land Information System (LIS) software employs land surface models (LSMs) and can incorporate improved land surface parameters and assimilate appropriate, quality-controlled remote sensing and in-situ fields. These enhanced models produce a wide range of water and energy budget variables that can be used in modeling and predicting drought and flood conditions. One region that LIS is being customized for involves the Columbia River Basin in Washington where major flood and drought events have occurred in the recent past. The meteorological forcing fields used to drive and the parameter files used in the LSMs are validated against other in-situ or satellite datasets to determine their level of accuracy and their impact on the LSMs. The LIS output products are also validated against observations and are to be tested and evaluated in the U.S. Bureau of Reclamation decision support systems, like RiverWare. Some of the products include snow cover, snow water equivalent, land surface temperature, and evapotranspiration. Results from the LIS LSM experiment runs will be compared with observations and will be presented at the meeting.
UR: http://lis.gsfc.nasa.gov
DE: 0466 Modeling
DE: 1818 Evapotranspiration
DE: 1855 Remote sensing (1640)
SC: Geodesy [G]
MN: Fall Meeting 2005