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Aviation Sensors and Products for Hurricane Applications Road Weather Management Workshop April 9, 2001 Aviation Sensors and Products for Hurricane Applications Road Weather Management Workshop April 9, 2001 Robert G. Hallowell MIT Lincoln Laboratory RGH 4/9/01 Hurricane Conf MIT Lincoln Laboratory

Outline • Overview of Aviation Weather Products (MIT/LL) • Hurricane Applications – Advantages of Outline • Overview of Aviation Weather Products (MIT/LL) • Hurricane Applications – Advantages of Integrating Sensors – Wind Estimations – Automated Storm Tracking • RGH 4/9/01 Hurricane Conf Summary MIT Lincoln Laboratory

Civil Aviation Weather Systems RGH 4/9/01 Hurricane Conf MIT Lincoln Laboratory Civil Aviation Weather Systems RGH 4/9/01 Hurricane Conf MIT Lincoln Laboratory

Integrated Terminal Weather System (ITWS) RGH 4/9/01 Hurricane Conf MIT Lincoln Laboratory Integrated Terminal Weather System (ITWS) RGH 4/9/01 Hurricane Conf MIT Lincoln Laboratory

ITWS Products Via Digital Data Feed Graphics Products Text Products Wind Profile Configured A ITWS Products Via Digital Data Feed Graphics Products Text Products Wind Profile Configured A Terminal Wx Hazard Text Alerts Microbu rst Wind Shear Gust Front ETI Tornado Alerts Lightning AP Status RGH 4/9/01 Hurricane Conf MIT Lincoln Laboratory

Multi-Radar Integration • Fundamental difference: FAA provides radar-derived products directly to non-meteorologist users without Multi-Radar Integration • Fundamental difference: FAA provides radar-derived products directly to non-meteorologist users without any meteorologist review – Improved NEXRAD data quality (AP, test patterns, clutter) – Mosaicked Radar Images (NEXRAD, TDWR, WSP) – Automated Dual-doppler 3 -D Winds Products – Result: More reliable estimates of rainfall Better precipitation tracking Improved overall coverage • Some Challenges: – TDWR focus on airport – ASR-9 fan beam (not easily merged with TDWR/NEXRAD) RGH 4/9/01 Hurricane Conf MIT Lincoln Laboratory

ITWS: Automated Radar Data Quality Editing Tampa NEXRAD after AP editing Melbourne NEXRAD after ITWS: Automated Radar Data Quality Editing Tampa NEXRAD after AP editing Melbourne NEXRAD after AP editing WARP mosaic algorithm ITWS mosaic algorithm RGH 4/9/01 Hurricane Conf MIT Lincoln Laboratory

ITWS: Dual-Doppler Winds RGH 4/9/01 Hurricane Conf MIT Lincoln Laboratory ITWS: Dual-Doppler Winds RGH 4/9/01 Hurricane Conf MIT Lincoln Laboratory

Terminal Forecast Algorithm Architecture NEXRAD radar Radar data Scale separation Automated Scoring Track vectors Terminal Forecast Algorithm Architecture NEXRAD radar Radar data Scale separation Automated Scoring Track vectors RGH 4/9/01 Hurricane Conf Product display MIT Lincoln Laboratory

Terminal Convective Weather Forecast Product Technology development funded by FAA Aviation Weather Research Program Terminal Convective Weather Forecast Product Technology development funded by FAA Aviation Weather Research Program (AWR) -30 -20 -10 Current Weather +10 +20 Key features: +30 Automated scoring of past performance +40 +50 Updates every 5 -6 minutes +60 Uses NEXRAD VIL data Successful operational use at Dallas, Orlando, Memphis, and New York RGH 4/9/01 Hurricane Conf min Forecast MIT Lincoln Laboratory

Hurricane Erin 8/2/1995 • Category I Hurricane • Precipitation Intensity Based on NEXRAD • Hurricane Erin 8/2/1995 • Category I Hurricane • Precipitation Intensity Based on NEXRAD • Movie Loop 0500 Z to 1100 Z RGH 4/9/01 Hurricane Conf MIT Lincoln Laboratory

Hurricane Erin - 60 Min Forecast • Verification of 60 minute forecast – Weak Hurricane Erin - 60 Min Forecast • Verification of 60 minute forecast – Weak Precip or Stronger – Within 5 NM – Overall CSI score RGH 4/9/01 Hurricane Conf MIT Lincoln Laboratory

Summary • Multiple FAA weather radars and derived products coming on-line (ITWS 2002 -2004, Summary • Multiple FAA weather radars and derived products coming on-line (ITWS 2002 -2004, CIWS 2001, MIAWS 2001 -2003) • FAA/NWS radar integration has been extremely successful operationally for the FAA • ITWS winds products (microbursts, 3 -d winds) could be enhanced for hurricane applications • Storm tracking technology (0 -2 hours) could assist in early flood warnings RGH 4/9/01 Hurricane Conf MIT Lincoln Laboratory