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

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https://doi.org/10.5194/amt-2017-182
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
12 Jun 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).
Fu-Liou Gu radiative transfer model used as proxy to evaluate the impact of data processing and different lidar measurement techniques in view of next and current lidar space missions
Simone Lolli1,2, Fabio Madonna1, Marco Rosoldi1, James R. Campbell3, Ellsworth J. Welton4, Jasper R. Lewis2, Yu Gu5, and Gelsomina Pappalardo1 1CNR-IMAA, Istituto di Metodologie Ambientali Tito Scalo (PZ), Italy
2NASA GSFC-JCET, Code 612, 20771 Greenbelt, MD, USA
3Naval Research Laboratory, Monterey, CA, USA
4NASA GSFC, Code 612, 20771 Greenbelt, MD, USA
5UCLA, University of California Los Angels, Los Angeles, USA
Abstract. In view of the actual or future ground-based networks and space missions involving lidar instruments, we evaluated the comparability of extinction coefficient atmospheric profiles directly retrieved or estimated with different lidar techniques, i. e. Raman and elastic lidar, and different data processing/smoothing for a transported upper atmospheric dust layer and for a cirrus cloud case through Fu-Liou-Gu radiative transfer model net forcing calculations, both at surface and at the top-of-the-atmosphere. The results put in evidence discrepancies up to 7 % on net radiative forcing for the case of dust layer case and up to 35 % for the cirrus cloud case. The main objective of this analysis is to quantitatively raise awareness on the inconsistences in calculating a significant climatological variable as the aerosol and cloud net radiative forcing due to the large diversification in lidar data measurements.

Citation: Lolli, S., Madonna, F., Rosoldi, M., Campbell, J. R., Welton, E. J., Lewis, J. R., Gu, Y., and Pappalardo, G.: Fu-Liou Gu radiative transfer model used as proxy to evaluate the impact of data processing and different lidar measurement techniques in view of next and current lidar space missions, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2017-182, in review, 2017.
Simone Lolli et al.
Simone Lolli et al.
Simone Lolli et al.

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Short summary
We evaluate the comparability of the vertical profile of aerosol and cloud optical properties obtained with varying lidar profiling techniques and/or data processing methodologies. The discrepancies are assessed by evaluating climate-sensitive net radiative forcing terms for aerosols and clouds, obtained from the Fu-Liou-Gu radiative transfer code. Results show discrepancies up to 35 %, which is important when analyzing lidar data from different space and ground-based instruments.
We evaluate the comparability of the vertical profile of aerosol and cloud optical properties...
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