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The current SAA range correction is replaced by a fixed adjustment for the vertical profile of reflectivity that has comparable range effects. This corrects for the usual growth of precipitation below the radar beam and reduces spurious discontinuities from prescribed beam elevation changes. The current SAA applies only to solid precipitation ("dry" snow). New logic uses temperature and relative humidity from numerical model soundings to transform the SAA into a more generic precipitation accumulation algorithm (PAA). The radar data are thereby classified according to areas of solid or liquid precipitation, and flagged according to bright band and virga contamination.
The enhanced PAA is being input to the National Weather Service's Snow Data Assimilation System (SNODAS), a new and sophisticated snow energy and mass balance modeling system. The SNODAS will provide quantitative snowpack and snowmelt data to the NWS's river models. The end result should be more accurate streamflow forecasts for the public and water operations management.
Supplementary URL: http://yampa.earthsci.do.usbr.gov:8080/awards/publ/30thradconf.pdf