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NCAR Activities Using TAMDAR Icing Data

This project aims to determine the impact of TAMDAR icing reports on icing diagnoses and evaluate their consistency with expected icing conditions. The study also includes the compilation of a climatology of TAMDAR icing data to assist in quality control efforts. Funding is provided by AIRDAT and the FAA.

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NCAR Activities Using TAMDAR Icing Data

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  1. NCAR Activities Using TAMDAR Icing Data Marcia K. Politovich, Jamie Braid Scott Landolt and Cory Wolff NCAR Research Applications Laboratory

  2. Projects • Impacts on Current Icing Potential product • What: Determine the impact of TAMDAR icing reports (positive and negative) on icing diagnoses • Why: Do results support FAA/NWS funding of TAMDAR data stream? • Funded by: AIRDAT • Description of icing data set • What: Compile “climo” of TAMDAR icing data using RUC and CIP outputs • Why: Will help QC efforts – what are these reports, are they consistent with expected icing conditions, are we seeing inconsistencies? • Funded by: FAA

  3. Laser senses 0.020” ice accreted here Yes: activates heating cycle to melt and start over again No: no ice detected Uncertain: Ttot >0C, Tstat <0C (ice won’t freeze onto probe)

  4. CIP impact: progress • Converted TAMDAR data sets to pseudo PIREP NetCDF data • Determined HRCIP run times for study • Completed baseline verification using voice PIREPs and standard QAPDT methods

  5. CIP concept Lightning Deep Convection m

  6. High-res (5 km) CIP

  7. PIREPs in CIP • Used as a boosting factor for icing potential (along with RUC SLW and VV) • Currently, only positive icing PIREPs are used: icepotfinal = icepotini(0.35*PIREPmap + .4*SLWmap + .25*VVmap) severity = 1-8 scale (T=1, H=8, etc.), PIREPmap = severity/8 and weigh by proximity in space and time Need to determine how to use negative TAMDAR icing data – decrease potential

  8. CIP Comparison • Three-way comparison • Baseline: no TAMDAR • Add TAMDAR positive icing reports • Add TAMDAR negative icing reports • Compare PODy, PODn, area and volume covered • What is the effect on the statistics? On the look and feel?

  9. TAMDAR Icing “Climo” • Use ASCII files for location of positive icing reports • Form climatology – time of day, location, by month, etc. Where is icing being reported? • Use matching hourly 20-km RUC forecasts to pull info on temperatures, RH, condensate • Can use positive TAMDAR icing data to “verify” RUC condensate fields • Use matching CIP icing potential to check our expectations on icing – positive and negative

  10. Ice Accretion? • New icing severity definitions are accretion-rate based • Updated CIP severity • Accretion rate depends on object shape, airspeed, etc… • We’re interested in working with AIRDAT on this

  11. More ideas?

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