Articles | Volume 16, issue 2
https://doi.org/10.5194/acp-16-933-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-933-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Jan 2016
Research article |
| 26 Jan 2016
Investigation of the adiabatic assumption for estimating cloud micro- and macrophysical properties from satellite and ground observations
D. Merk
CORRESPONDING AUTHOR
Leibniz Institute for Tropospheric Research, Leipzig, Germany
H. Deneke
Leibniz Institute for Tropospheric Research, Leipzig, Germany
B. Pospichal
Leipzig Institute for Meteorology, Leipzig, Germany
P. Seifert
Leibniz Institute for Tropospheric Research, Leipzig, Germany
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Latest update: 20 Apr 2024
Short summary
A 2-year data set is analyzed to evaluate the consistency and limitations of current ground-based and satellite-retrieved cloud property data sets. We demonstrate that neither the assumption of a completely adiabatic cloud nor the assumption of a constant sub-adiabatic factor is fulfilled. As cloud adiabaticity is required to estimate the cloud droplet number concentration, but is not available from passive satellite observations, we need an independent method to estimate the adiabatic factor.
A 2-year data set is analyzed to evaluate the consistency and limitations of current...
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