Progress in the validation of dual-wavelength aerosol retrieval models via airborne high spectral resolution LIdar data

Christopher McPherson, John Reagan, Chris Hostetler, John Hair, Rich Ferrare

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The Constrained Ratio Aerosol Model-fit (CRAM) technique is a method for making aerosol retrievals from dual-wavelength elastic scatter lidars which attempts to constrain the retrievals so as to be consistent with a number of aerosol models thought to characterize a variety of aerosol types observed around the world. The NASA Langley Research Center Airborne HSRL is an airborne high spectral resolution lidar capable of direct measurements of aerosol extinction and backscatter at 532 nm and having the capability for elastic backscatter measurements at 1064 nm. Aerosol measurements by HSRL during the TEXas Air Quality Survey/Gulf of Mexico Atmospheric Composition and Climate Study (TEXAQS/GoMACCS) campaign are used to validate existing aerosol models critical to the application of CRAM, in particular to data from the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP) lidar instrument on board the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite.

Original languageEnglish (US)
Title of host publication2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
Pages1714-1717
Number of pages4
DOIs
StatePublished - Dec 1 2010
Event2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 - Honolulu, HI, United States
Duration: Jul 25 2010Jul 30 2010

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010
CountryUnited States
CityHonolulu, HI
Period7/25/107/30/10

Keywords

  • Aerosols
  • Laser radar

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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