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NEXRAD Dual Polarization Data for FAA Aviation ProductsDavid J. Smalley, Michael F. Donovan, Betty J. Bennett, Kenta T. Hood, Elaine Griffin, Mark S. Veillette, and Earle R. Williams, Massachusetts Institute of Technology Lincoln Laboratory
MIT Lincoln Laboratory Tech Transfer Algorithm Challenges Addressed Targeted Future Benefits to Aviation Weather Algorithm ProductsValidation and Verification
Radar Calibration and Data Quality
● Federal Aviation Administration (FAA) Next-Generation Radar (NEXRAD) Program Office has been funding Lincoln Laboratory’s NEXRAD Algorithm Enhancements Program since 2001
● Eight algorithms developed with seven fielded operational products
● 35+ algorithm enhancements as NEXRAD evolves
● Develop and test new techniques from in situ observations to further icing detection by radar
● Validate/verify new techniques against past or future in situ measurements
● Data quality remains paramount for automated FAA algorithms (no human-in-the-loop)
● Stable, calibrated dual pol data throughout the network will benefit the FAA algorithmsAviation Weather Hazard Detection Enabled by NEXRAD
This work is sponsored by the Federal Aviation Administration (FAA) under Air Force Contract FA8721-05-C-0002. Opinions, interpretations, conclusions, and recommendations are those of the author and are not necessarily endorsed by the United States Government.
Convective Weather
Relate in situ particle observations to radar data
Wind Shear
20112001 2003 2005 2007 2009 2013 2015 2017
HighResolution Vertically
Integrated Liquid
Data Quality
Assurance (DQA)
HighResolution Enhanced Echo Tops
Machine Intelligent Gust Front Algorithm
DQA Edited Reflectivity
1990sDoppler
2010s Hydrometeors
Dual Pol Icing Hazard Levels
Dual Pol Hail Hazard Levels
Microburst Detection
Partial Beam Blockage Mitigation
Dual Pol DQA
Chaff, Sea Clutter
Enabled through dual polarized capabilities
Icing
Hail
First-ever sphere calibration of dual pol NEXRAD
Use dual pol data to identify non-weather contamination
Relate in situ particle observations to radar data
Sizing
Rely on mPING and CoCoRaHS reports
ValidationFirst-ever in situ validation of operational dual pol
NEXRAD
Icing Hazard
Use dual pol data and improved hydrometeor classification responding to particle type to estimate icing hazard
Hail Hazard
Use dual pol data and improved hydrometeor classification to provide area coverage of hail severity and altitude
Reveal mixed phase subclasses
Expanded Icing Hazard Detection
Data Quality
Use dual pol data and improved hydrometeor classification to improve data quality of aviation weather products
Max. hail size in column Top hail altitude in column
Storm Intensity through Hail
Chaff classification from dual pol needed
Augment Methods/ID Chaff