Tuesday, 13 January 2009: 2:30 PM
GIS-enabled multi-sensor visualization and analysis of extreme precipitation and drought
Room 121BC (Phoenix Convention Center)
Understanding and predicting water cycles and water resources are important for sustainability worldwide. GIS technology enables incorporation of multi-sensor, multi-parameter observations to provide a holistic, multi-dimensional view of atmospheric phenomena as a system. In this study GIS techniques are used to visualize and analyze a severe precipitation event and drought conditions in the United States by incorporating observations from multiple sources including remotely sensed observations, assimilated data, in-situ and model results. Data from AIRS, AMSR-E, QuikSCAT, TRMM precipitation, Level 4 SST observations, GPS measurements, back-trajectories from NOAA's HYSPLIT model, and in-situ sources are incorporated within a unified analytical GIS framework for analysis of extreme events related to the water cycle.
Keywords: Geographic Information Systems, GIS, AIRS, TRMM, QuikSCAT, Extreme precipitation, drought