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Volume 14, issue 21
Atmos. Chem. Phys., 14, 11871–11881, 2014
https://doi.org/10.5194/acp-14-11871-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: South AMerican Biomass Burning Analysis (SAMBBA)

Atmos. Chem. Phys., 14, 11871–11881, 2014
https://doi.org/10.5194/acp-14-11871-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 12 Nov 2014

Research article | 12 Nov 2014

Airborne verification of CALIPSO products over the Amazon: a case study of daytime observations in a complex atmospheric scene

F. Marenco1, V. Amiridis2, E. Marinou2, A. Tsekeri2, and J. Pelon3 F. Marenco et al.
  • 1Observational Based Research, Met Office, Exeter, UK
  • 2Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, Greece
  • 3UPMC-CNRS/INSU-UVSQ, LATMOS, 4 Place Jussieu, 75252 Paris CEDEX 05, France

Abstract. A daytime underflight of CALIPSO with the Facility for Airborne Atmospheric Measurements was performed on 20 September 2012 in the Amazon region of Brazil, during the biomass burning season. The scene is dominated by a thin elevated layer (aerosol optical depth (AOD) 0.03 at 532 nm) and a moderately turbid boundary layer (AOD ~ 0.2 at 532 nm). The boundary layer is topped with small broken stratocumulus clouds. In this complex scene, a comparison of observations from the airborne and spaceborne lidars reveals a few discrepancies. The CALIPSO detection scheme tends to miss the elevated thin layer, and also shows several gaps (~ 30%) in the boundary layer. The small clouds are not correctly removed from the signals; this can cause the CALIPSO aerosol subtype to oscillate between smoke and polluted dust and may introduce distortion in the aerosol retrieval scheme. The magnitude of the average extinction coefficient estimated from CALIPSO Level 2 data in the boundary layer is as expected, when compared to the aircraft lidar and accounting for wavelength scaling. However, when the gaps in aerosol detection mentioned above are accounted for, we are left with an overall estimate of AOD for this particular scene that is of the order of two thirds of that determined with the airborne lidar.

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