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Earth System Science Data The data publishing journal
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ESSD | Articles | Volume 10, issue 4
Earth Syst. Sci. Data, 10, 2279-2293, 2018
https://doi.org/10.5194/essd-10-2279-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 10, 2279-2293, 2018
https://doi.org/10.5194/essd-10-2279-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  14 Dec 2018

14 Dec 2018

Using CALIOP to estimate cloud-field base height and its uncertainty: the Cloud Base Altitude Spatial Extrapolator (CBASE) algorithm and dataset

Johannes Mülmenstädt et al.
Data sets

Using CALIOP to estimate cloud-field base height and its uncertainty: the Cloud Base Altitude Spatial Extrapolator (CBASE) algorithm and dataset J. Mülmenstädt, O. Sourdeval, D. S. Henderson, T. S. L'Ecuyer, C. Unglaub, L. Jungandreas, C. Böhm, L. M. Russell, and J. Quaas https://doi.org/10.1594/WDCC/CBASE

Model code and software

jmuelmen/cbase-essd: Version used for ESSD description paper J. Mülmenstädt https://doi.org/10.5281/zenodo.1560603

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Short summary
One of the key pieces of information about a cloud is how high its base is. Unlike cloud top, cloud base is hard to observe from a satellite perspective – the cloud blocks the view. But without using satellites, it is difficult to compile global datasets. Here we describe how we worked around the limitations of a cloud-detecting laser satellite to observe global cloud base heights. This dataset will expand our knowledge of the cloudy atmosphere and its interaction with the planetary surface.
One of the key pieces of information about a cloud is how high its base is. Unlike cloud top,...
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