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NASA's Icing Remote Sensing System: Recent Accomplishments. Interagency Aviation Weather Research Coordination Meeting Boulder, Colorado December 2nd, 2010 Team: Dave Serke - NCAR PI Marcia Politovich - NCAR Andy Gaydos - NCAR engineer Chris Johnston - NCAR student

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nasa s icing remote sensing system recent accomplishments
NASA's Icing Remote Sensing System:Recent Accomplishments

Interagency Aviation Weather Research Coordination Meeting

Boulder, Colorado

December 2nd, 2010

Team:

Dave Serke - NCAR PI

Marcia Politovich - NCAR

Andy Gaydos - NCAR engineer

Chris Johnston - NCAR student

Andy Reehorst - NASA GRC PI

nirss goal
NIRSS Goal
  • Provide in-flight icing detection warning in the airport environment with relatively inexpensive, existing technologies.
nirss display
NIRSS Display

Reflectivity >

NIRSS

hazard

product >

< cloud

mask

< LWC

< temp

profile

< ILW

nirss vs cip vs pireps
NIRSS vs. CIP vs. PIREPs
  • Compare products/’truth’ icing severity (scale 0 to 8) from past 4 years
  • Warn volume:
  • NIRSS 13%
  • CIP 20%
  • NIRSS detects icing and non-icing at least as well as CIP in less warned volume
nirss supercooled large drop detection
NIRSS Supercooled Large Drop Detection

Use Ka-band reflectivity and LWC derived from radiometer to derive a mean dropsize at each height in the profile

Approach shows great promise in

detecting large droplets (> 50 um)‏

narrowbeam radiometer
Narrowbeam Radiometer
  • Tested at CSU CHILL

Aug-Sep 2009

  • Apply NIRSS vertical pointing to airport terminal volume
  • Running Air Force's RADTRAN model
  • Derived ELEV angle-dependent coefficients for 3 channel LWP algorithm (w/ Univ. of Cologne)‏
nirss as verification for satellite products
NIRSS as verification for satellite products

Evaluation of cloud parameters and in-flight icing estimates derived from satellite using the NASA Glenn Icing Remote Sensing System,

- '13th Conference on Cloud Physics', 28 June, 2010, Portland, OR

Determining the effects of ice crystals on a satellite-based flight icing threat product in single-layer and multi-layer cloud conditions,

- '13th Conference on Cloud Physics', 28 June, 2010, Portland, OR

New methods to infer aircraft icing conditions using satellite data

- 'International Conference on Aircraft and Engine Icing and Ground

De-Icing', 13-17 June 2011 Chicago, IL

nirss @ colorado front range
NIRSS @ Colorado Front Range
  • Locate to Platteville, CO Nov '10-May '11
  • Goals:
  • Support NIRSS development and validation
  • Support MIT-LL 'Icing Hazard Level' algorithm development for NEXRADs
  • Support NSSL/NWS 'NEXRAD polarization - icing hydrometeor classification'

CHILL

NIRSS

S-Pol

DIA