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.
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.
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
CORRESPONDING AUTHOR
Institute of Meteorology, Universität Leipzig, Leipzig, Germany
Odran Sourdeval
Institute of Meteorology, Universität Leipzig, Leipzig, Germany
David S. Henderson
University of Wisconsin at Madison, Madison, Wisconsin, USA
Tristan S. L'Ecuyer
University of Wisconsin at Madison, Madison, Wisconsin, USA
Claudia Unglaub
Institute of Meteorology, Universität Leipzig, Leipzig, Germany
Leonore Jungandreas
Institute of Meteorology, Universität Leipzig, Leipzig, Germany
Christoph Böhm
Institute for Geophysics and Meteorology, Universität zu Köln, Cologne, Germany
Lynn M. Russell
Scripps Institution of Oceanography, University of California, San Diego, San Diego, California, USA
Johannes Quaas
Institute of Meteorology, Universität Leipzig, Leipzig, Germany
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- Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
- Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing D. Rosenfeld et al. 10.1029/2022RG000799
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- A New Algorithm for Estimating Low Cloud-Base Height in Southwest China R. Wang et al. 10.1175/JAMC-D-21-0221.1
- The Vertical Structure of Radiative Heating Rates: A Multimodel Evaluation Using A-Train Satellite Observations G. Cesana et al. 10.1175/JCLI-D-17-0136.1
- Estimate of daytime single-layer cloud base height from advanced baseline imager measurements H. Lin et al. 10.1016/j.rse.2022.112970
- Long‐term variability of the low‐level cloud base height in Poland D. Matuszko et al. 10.1002/joc.8041
- Reassessing the Effect of Cloud Type on Earth’s Energy Balance in the Age of Active Spaceborne Observations. Part II: Atmospheric Heating Y. Hang et al. 10.1175/JCLI-D-18-0754.1
- Clouds and plant ecophysiology: missing links for understanding climate change impacts N. Hughes et al. 10.3389/ffgc.2024.1330561
- Cloud base height retrieval from multi-angle satellite data C. Böhm et al. 10.5194/amt-12-1841-2019
- Global characteristics of cloud macro-physical properties from active satellite remote sensing Y. Chi et al. 10.1016/j.atmosres.2024.107316
- Reassessing the Effect of Cloud Type on Earth’s Energy Balance in the Age of Active Spaceborne Observations. Part I: Top of Atmosphere and Surface T. L’Ecuyer et al. 10.1175/JCLI-D-18-0753.1
- Marine cloud base height retrieval from MODIS cloud properties using machine learning J. Lenhardt et al. 10.5194/amt-17-5655-2024
- The surface longwave cloud radiative effect derived from space lidar observations A. Arouf et al. 10.5194/amt-15-3893-2022
- Summer Marine Fog Distribution in the Chukchi–Beaufort Seas L. Yi et al. 10.1029/2021EA002049
- Evaluation and Improvement of a CALIPSO-Based Algorithm for Cloud Base Height in China R. Li & X. Ma 10.3390/rs16152801
- Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations P. Kuma et al. 10.5194/acp-20-6607-2020
- Using CALIOP to estimate cloud-field base height and its uncertainty: the Cloud Base Altitude Spatial Extrapolator (CBASE) algorithm and dataset J. Mülmenstädt et al. 10.5194/essd-10-2279-2018
24 citations as recorded by crossref.
- The Temperature Control of Cloud Adiabatic Fraction and Coverage X. Lu et al. 10.1029/2023GL105831
- Addressing the difficulties in quantifying droplet number response to aerosol from satellite observations H. Jia et al. 10.5194/acp-22-7353-2022
- Cloud-Base Height Retrieval from MODIS Satellite Data Based on Self-Organizing Neural Networks A. Skorokhodov et al. 10.1134/S1024856023060209
- Satellite retrieval of cloud base height and geometric thickness of low-level cloud based on CALIPSO X. Lu et al. 10.5194/acp-21-11979-2021
- Constraining the Twomey effect from satellite observations: issues and perspectives J. Quaas et al. 10.5194/acp-20-15079-2020
- Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing D. Rosenfeld et al. 10.1029/2022RG000799
- Significant underestimation of radiative forcing by aerosol–cloud interactions derived from satellite-based methods H. Jia et al. 10.1038/s41467-021-23888-1
- Cloud heights retrieval from passive satellite measurements using lapse rate information W. Zhang et al. 10.1016/j.rse.2025.114622
- A new classification of satellite-derived liquid water cloud regimes at cloud scale C. Unglaub et al. 10.5194/acp-20-2407-2020
- Obtaining Cloud Base Height and Phase From Thermal Infrared Radiometry Using a Deep Learning Algorithm Q. Wang et al. 10.1109/TGRS.2023.3317532
- A New Algorithm for Estimating Low Cloud-Base Height in Southwest China R. Wang et al. 10.1175/JAMC-D-21-0221.1
- The Vertical Structure of Radiative Heating Rates: A Multimodel Evaluation Using A-Train Satellite Observations G. Cesana et al. 10.1175/JCLI-D-17-0136.1
- Estimate of daytime single-layer cloud base height from advanced baseline imager measurements H. Lin et al. 10.1016/j.rse.2022.112970
- Long‐term variability of the low‐level cloud base height in Poland D. Matuszko et al. 10.1002/joc.8041
- Reassessing the Effect of Cloud Type on Earth’s Energy Balance in the Age of Active Spaceborne Observations. Part II: Atmospheric Heating Y. Hang et al. 10.1175/JCLI-D-18-0754.1
- Clouds and plant ecophysiology: missing links for understanding climate change impacts N. Hughes et al. 10.3389/ffgc.2024.1330561
- Cloud base height retrieval from multi-angle satellite data C. Böhm et al. 10.5194/amt-12-1841-2019
- Global characteristics of cloud macro-physical properties from active satellite remote sensing Y. Chi et al. 10.1016/j.atmosres.2024.107316
- Reassessing the Effect of Cloud Type on Earth’s Energy Balance in the Age of Active Spaceborne Observations. Part I: Top of Atmosphere and Surface T. L’Ecuyer et al. 10.1175/JCLI-D-18-0753.1
- Marine cloud base height retrieval from MODIS cloud properties using machine learning J. Lenhardt et al. 10.5194/amt-17-5655-2024
- The surface longwave cloud radiative effect derived from space lidar observations A. Arouf et al. 10.5194/amt-15-3893-2022
- Summer Marine Fog Distribution in the Chukchi–Beaufort Seas L. Yi et al. 10.1029/2021EA002049
- Evaluation and Improvement of a CALIPSO-Based Algorithm for Cloud Base Height in China R. Li & X. Ma 10.3390/rs16152801
- Evaluation of Southern Ocean cloud in the HadGEM3 general circulation model and MERRA-2 reanalysis using ship-based observations P. Kuma et al. 10.5194/acp-20-6607-2020
Latest update: 09 Jul 2025
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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