Articles | Volume 20, issue 4
https://doi.org/10.5194/acp-20-2407-2020
https://doi.org/10.5194/acp-20-2407-2020
Research article
 | 
28 Feb 2020
Research article |  | 28 Feb 2020

A new classification of satellite-derived liquid water cloud regimes at cloud scale

Claudia Unglaub, Karoline Block, Johannes Mülmenstädt, Odran Sourdeval, and Johannes Quaas

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Cited articles

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Bloom, S., da Silva, A., Dee, D., Bosilovich, M., J-D, Chern, Pawson, S., Schubert, S., and Sienkiewicz, M.: Documentation and Validation of the Goddard Earth Observing System (GEOS) Data Assimilation System-Version 4, Technical Report Series on Global Modeling and Data Assimilation, 26, 112 pp., NASA/TM–2005–104 606, 2005. a
Böhm, C., Sourdeval, O., Mülmenstädt, J., Quaas, J., and Crewell, S.: Cloud base height retrieval from multi-angle satellite data, Atmos. Meas. Tech., 12, 1841–1860, https://doi.org/10.5194/amt-12-1841-2019, 2019. a
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Short summary
In cloud research, it is necessary to classify clouds. The World Meteorological Organization proposes distinguishing stratiform and cumuliform clouds in three altitude layers. The paper explains why previous approaches to classify clouds fail for many applications and proposes a new classification on the basis of new approaches for satellite retrievals to derive cloud-base height, in combination with cloud inhomogeneity. It is demonstrated that this discriminates cloud characteristics well.
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