23rd Conference on Hydrology

P4.2

An operational assessment of the MODIS false color composite with the Great Falls, Montana National Weather Service

Gina Loss, NOAA/NWS, Great Falls, MT; and D. Bernhardt, K. K. Fuell, and G. T. Stano

The close and productive collaborations between the NWS Weather Forecast Office (WFO) in Great Falls, MT and the Short-term Prediction Research and Transition (SPoRT) Center at NASA/Marshall Space Flight Center have provided a unique opportunity for science sharing and technology transfer. In particular, SPoRT has provided a false color composite product derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument, which is part of NASA's Earth Observing System. This product is designed to delineate snow and ice covered ground, bare ground and clouds.

The Great Falls WFO has been a test bed of the MODIS false color composite as a tool in operations to monitor the development and dissipation of snow cover In particular, preliminary applications have shown that the product can be used to monitor snow cover in remote locations as well as ice in rivers. This information can lead to improved assessments of flooding potential during post event conditions where rapid melting and runoff are anticipated. The potential of this product on future geostationary satellites may substantially contribute to the NWS mission by providing enhanced situational awareness.

The operational use of this product has been transitioned at WFO Great Falls through a process of product implementation, discussions with the service hydrologist and forecasters, and post event analysis. A concentrated assessment period from January to March, 2008 was initiated to investigate the impact of the MODIS false color product on WFO Great Falls' operations. This presentation will emphasize the impact the MODIS false color product had in the WFO's situational awareness and how best this information can be used to influence operational decisions.

extended abstract  Extended Abstract (656K)

Poster Session 4, Remote Sensing of High-Impact Hydrometeorological Events
Wednesday, 14 January 2009, 2:30 PM-4:00 PM, Hall 5

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