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Gary P. Ellrod NOAA/NESDIS (Retired) Granby, CT Andrew Bailey Raytheon Information Technology and Scientific Services (ITSS) Landover, MD. Aircraft Icing Risk and Maximum Icing Altitude Estimates from GOES: Verification of the Experimental Product. Outline.
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Gary P. Ellrod NOAA/NESDIS (Retired) Granby, CT Andrew Bailey Raytheon Information Technology and Scientific Services (ITSS) Landover, MD Aircraft Icing Risk and Maximum Icing Altitude Estimates from GOES: Verification of the Experimental Product NWA Annual Meeting 16-19 October 2006
NWA Annual Meeting 16-19 October 2006 Outline • Early development of the NESDIS icing product • Recent improvements • GOES Imager icing detection algorithm • Incorporation of Sounder cloud top height data • Verification results • Summary
NWA Annual Meeting 16-19 October 2006 Early Work on NESDIS Icing Product • First experimental NESDIS icing product developed using GOES-8 data in mid-1990's • Threshold techniques using GOES Imager data in three IR (3.9, 10.7, 12.0 um) and visible bands • Comparable in quality to other satellite methods (Thompson et al. 1997) • Main deficiencies: • No detection when obscured by cirrus • Poor detection near sunrise/sunset • No cloud height information
NWA Annual Meeting 16-19 October 2006 Recent Improvements • Better detection in low light and broken cloud cover aided by two-hour running composite • Better icing detection algorithm • Makes use of new 13.3 um IR band (GOES-M and beyond) for cirrus screening • Normalized visible channel data • Inclusion of operational cloud top heights from Sounder
NWA Annual Meeting 16-19 October 2006 Upgraded Icing ProductIcing Enhanced Cloud-top Altitude Product (ICECAP) ICECAP Imager Icing Cloud top Heights
NWA Annual Meeting 16-19 October 2006 Northeast Regional Example Product URL: http://www.star.nesdis.noaa.gov/smcd/opdb/aviation/icg.html
NWA Annual Meeting 16-19 October 2006 Verification of the Product • Imager Icing Potential • Using NOAA/MSL's Real-Time Verification System (RTVS) beginning summer 2003 • Comparisons with Current Icing Potential (CIP) • GOES 4km product reduced to 40km to conform to Rapid Update Cycle II (RUC) grid box • Sounder Cloud-top heights • Comparison with ground-based lidar (Hawkinson et al. 2005) • Comparison with icing altitudes in PIREPs (2005)
NWA Annual Meeting 16-19 October 2006 Probability of Detection (PODy) July 2003 through April 2005; All time periods CIP = 0.45
NWA Annual Meeting 16-19 October 2006 POD – No Icing (PODn) CIP = 0.45
NWA Annual Meeting 16-19 October 2006 True Skill Statistic (TSS) TSS = PODy + PODn - 1 CIP = 0.45
NWA Annual Meeting 16-19 October 2006 Relative Operating Characteristics (ROC)
NWA Annual Meeting 16-19 October 2006 Diurnal Characteristics • Performs best during daytime (15Z – 21Z) when CH1 visible is available • PODy = 0.55 to 0.70; TSS = 0.15 to 0.25 • Skill scores for sunrise/sunset transition periods similar to those at night • PODy = 0.45 to 0.50; TSS = 0.10 to 0.15
NWA Annual Meeting 16-19 October 2006 GOES Cloud Top HeightsHawkinson (UW-CIMSS) et al. 2003
NWA Annual Meeting 16-19 October 2006 Summary and Conclusions • GOES icing potential / cloud top product • Provides a good estimate of icing extent and cloud top height: • Operational CIP better during cooler months • GOES performs better than CIP during summer (except 2006) • Skill of GOES product best during daylight hours • Does not provide severity information • ICECAP could be most valuable in remote areas where no PIREPs available
NWA Annual Meeting 16-19 October 2006 Acknowledgements • Jennifer Mahoney and NOAA/MSL staff for implementation of GOES icing in RTVS • Jim Nelson (UW-CIMSS) wrote the original GOES-8 icing software • Work partially supported by GOES Improved Product Assurance Plan (GIMPAP) • URL for GOES ICECAP on the Web: • http://www.star.nesdis.noaa.gov/smcd/opdb/aviation/icg.html • Results to appear in upcoming issue of AMS Weather and Forecasting
NWA Annual Meeting 16-19 October 2006 Backup Slides
NWA Annual Meeting 16-19 October 2006 Icing Risk Flow Diagram
NWA Annual Meeting 16-19 October 2006 ICECAP Processing
NWA Annual Meeting 16-19 October 2006 Daytime Supercooled Cloud Determination
NWA Annual Meeting 16-19 October 2006 Reduction of Thin Cirrus Using IR Data
NWA Annual Meeting 16-19 October 2006 ICECAP Heights vs PIREPS