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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/amt-2016-174
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-2016-174
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Submitted as: research article 07 Jun 2016

Submitted as: research article | 07 Jun 2016

Review status
This discussion paper is a preprint. It has been under review for the journal Atmospheric Measurement Techniques (AMT). The revised manuscript was not accepted.

Simulations of spaceborne multiwavelength lidar measurements and retrievals of aerosol microphysics

David N. Whiteman1, Daniel Perez-Ramirez2, Igor Veselovskii3, Peter Colarco1, and Virginie Buchard3 David N. Whiteman et al.
  • 1NASA/Goddard Space Flight Center, Greenbelt, MD, 20770, USA
  • 2University of Granada, Granada, Spain
  • 3University of Maryland, Baltimore County, Baltimore, MD, 21550 USA

Abstract. In support of the Aerosol, Clouds, Ecosystems missions, simulations of a spaceborne multiwavelength lidar are performed based on global model simulations of the atmosphere along a satellite orbit track. The yield for aerosol microphysical inversions is quantified and comparisons are made between the aerosol microphysics inherent in the global model and those inverted from both the model's optical data and the simulated lidar measurements, which are based on the model's optical data. We find that yield can be significantly increased if inversions based on reduced optical data are acceptable. In general, retrieval performance is better for cases where the aerosol fine mode dominates. Lack of sensitivity to coarse mode cases is found, in agreement with earlier studies. Surface area is generally the most robustly retrieved quantity. The work here points toward the need for ancillary data to aid in the constraints of the lidar inversions and also for the need for joint inversions involving lidar and polarimeter measurements.

David N. Whiteman et al.
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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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David N. Whiteman et al.
David N. Whiteman et al.
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