Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 10, issue 4
Articles | Volume 10, issue 4
https://doi.org/10.5194/essd-10-2279-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-10-2279-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 4
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, Odran Sourdeval, David S. Henderson, Tristan S. L'Ecuyer, Claudia Unglaub, Leonore Jungandreas, Christoph Böhm, Lynn M. Russell, and Johannes Quaas

Viewed

Total article views: 6,446 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,701 1,599 146 6,446 219 202
  • HTML: 4,701
  • PDF: 1,599
  • XML: 146
  • Total: 6,446
  • BibTeX: 219
  • EndNote: 202
Views and downloads (calculated since 20 Apr 2018)
Cumulative views and downloads (calculated since 20 Apr 2018)

Viewed (geographical distribution)

Total article views: 6,446 (including HTML, PDF, and XML) Thereof 5,590 with geography defined and 856 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Nov 2025
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint