Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
doi:10.5194/acp-2016-980
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Technical note
15 Dec 2016
Review status
A revision of this discussion paper was accepted for the journal Atmospheric Chemistry and Physics (ACP) and is expected to appear here in due course.
Technical note: Fu-Liou-Gu and Corti-Peter model performance evaluation for radiative retrievals from cirrus clouds
Simone Lolli1, James R. Campbell2, Jasper R. Lewis1, Yu Gu3, and Ellsworth J. Welton4 1NASA GSFC-JCET, Code 612, 20771 Greenbelt, MD, USA
2Naval Research Laboratory, Monterey, CA, USA
3UCLA, Los Angeles, CA, USA
4NASA GSFC, Code 612, 20771 Greenbelt, MD, USA
Abstract. We compare, for the first time, the performance of a simplified radiative transfer algorithm code, the Corti-Peter model, versus the more complex Fu-Liou-Gu model, for resolving top-of-the-atmosphere radiative forcing characteristics from single layer cirrus clouds obtained from the NASA Micro Pulse Lidar Network database in 2010 and 2011 at Singapore. The results of the intercomparison show that differences in annual net TOA cloud radiative forcing can reach 68 %. The simplified Corti and Peter, 2009 model proves useful for first-order estimates of TOA cirrus cloud forcing, but may not be suitable for a quantitative estimation, including the sign of cirrus cloud TOA forcing that can readily oscillate around zero globally.

Citation: Lolli, S., Campbell, J. R., Lewis, J. R., Gu, Y., and Welton, E. J.: Technical note: Fu-Liou-Gu and Corti-Peter model performance evaluation for radiative retrievals from cirrus clouds, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-980, in review, 2016.
Simone Lolli et al.
Simone Lolli et al.
Simone Lolli et al.

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