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Accession Number PB2013-110382
Title Determination of Winter Precipitation Types.
Publication Date 2013
Media Count 20p
Personal Author H. Reeves T. Schuur
Abstract Parallel to the observational efforts, work has continued to develop an improved hydrometeor classification algorithm that combines polarimetric radar observations with thermodynamic information from numerical models. In addition to providing more information to aid in the interpretation of polarimetric signatures, the thermodynamic information provides a mechanism to produce surface-based classification results at distant ranges from the radar, where low-level layers of warm/cold air that fall well below the lowest available radar data might result in microphysical processes that would otherwise remain undiagnosed. The benefit of adding the thermodynamic data is therefore twofold: (1) to enhance classification capabilities in regions where polarimetric radar data are available, and (2) to extend classification capabilities to regions where it is not. The project also seeks to provide an algorithm framework that allows ongoing observational work, as listed above, to be easily incorporated into future algorithm development with the long term goals of improving automated precipitation type classification at both the surface and aloft, including the capability to remotely diagnose conditions favorable for liquid water generation.
Keywords Algorithms
Radar observation
Thermodynamic data

Source Agency National Oceanic and Atmospheric Administration
NTIS Subject Category 48H - Snow, Ice, & Permafrost
55C - Meteorological Data Collection, Analysis, & Weather Forecast
55E - Physical Meteorology
97R - Environmental Studies
55B - Dynamic Meteorology
Corporate Author National Severe Storms Lab., Norman, OK.
Document Type Technical report
Title Note N/A
NTIS Issue Number 1323
Contract Number N/A

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