Emergency Response Atmospheric Hazard Prediction Models
pdf file of powerpoint presentation (1710 kb)
Accurately predicting a variety of atmospheric releases (accidental or intentional, man-made or nature) relies on timely data describing the atmosphere/ocean/land-surface system. These datasets, in remote sensing, GIS or other formats (in-situ data), have to be assembled effectively together to support the atmospheric modeling effort. On the other hand, with the outputs from the atmospheric prediction models, we can assess the impacts of the release using GIS and disseminate the information effectively to the public. In this project, we combine almost “real-time” atmospheric remote sensing data with other relatively static remote sensing and GIS data layers as the inputs to the atmospheric models. Model outputs are visualized in GIS and to support impact assessment for effective responses. The results can be disseminated through high-performance Internet GIS.
Funding Agencies:
National Aeronautics and Space Administration (NASA): Contact Robert Veneziai Defense Threat Reduction Agency (DTRA) under the Department of Defense (DOD)