Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 10, issue 4
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.
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 et al.

Viewed

Total article views: 3,414 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,602 774 38 3,414 60 42
  • HTML: 2,602
  • PDF: 774
  • XML: 38
  • Total: 3,414
  • BibTeX: 60
  • EndNote: 42
Views and downloads (calculated since 20 Apr 2018)
Cumulative views and downloads (calculated since 20 Apr 2018)

Viewed (geographical distribution)

Total article views: 2,750 (including HTML, PDF, and XML) Thereof 2,675 with geography defined and 75 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 May 2021
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