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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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doi:10.5194/amt-2016-174
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
07 Jun 2016
Review status
This discussion paper 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 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.

Citation: Whiteman, D. N., Perez-Ramirez, D., Veselovskii, I., Colarco, P., and Buchard, V.: Simulations of spaceborne multiwavelength lidar measurements and retrievals of aerosol microphysics, Atmos. Meas. Tech. Discuss., doi:10.5194/amt-2016-174, 2016.
David N. Whiteman et al.
David N. Whiteman et al.
David N. Whiteman et al.

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