[392] - Cloud base height retrieval from multi-angle satellite data

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Böhm, C., Sourdeval, O., Mülmenstädt, J., Quaas, J., Crewell, S., 2019. Cloud base height retrieval from multi-angle satellite data. Atmospheric Measurement Techniques, 12 (3), 1841 - 1860. DOI: 10.5194/amt-12-1841-2019.
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Title(s):Main Title: Cloud base height retrieval from multi-angle satellite data
Description(s):Abstract: Clouds are a key modulator of the Earth energy budget at the top of the atmosphere and at the surface. While the cloud top height is operationally retrieved with global coverage, only few methods have been proposed to determine cloud base height (zbase) from satellite measurements. This study presents a new approach to retrieve cloud base heights using the Multi-angle Imaging SpectroRadiometer (MISR) on the Terra satellite. It can be applied if some cloud gaps occur within the chosen distance of typically 10 km. The MISR cloud base height (MIBase) algorithm then determines zbase from the ensemble of all MISR cloud top heights retrieved at a 1.1 km horizontal resolution in this area. MIBase is first calibrated using 1 year of ceilometer data from more than 1500 sites within the continental United States of America. The 15th percentile of the cloud top height distribution within a circular area of 10 km radius provides the best agreement with the ground-based data. The thorough evaluation of the MIBase product zbase with further ceilometer data yields a correlation coefficient of about 0.66, demonstrating the feasibility of this approach to retrieve zbase. The impacts of the cloud scene structure and macrophysical cloud properties are discussed. For a 3-year period, the median zbase is generated globally on a 0.25°x0.25° grid. Even though overcast cloud scenes and high clouds are excluded from the statistics, the median zbase retrievals yield plausible results, in particular over ocean as well as for seasonal differences. The potential of the full 16 years of MISR data is demonstrated for the southeast Pacific, revealing interannual variability in zbase in accordance with reanalysis data. The global cloud base data for the 3-year period (2007–2009) are available at https://doi.org/10.5880/CRC1211DB.19.
Identifier(s):DOI: 10.5194/amt-12-1841-2019
Responsible Party
Creator(s):Author: Christoph Böhm
Author: Odran Sourdeval
Author: Johannes Mülmenstädt
Author: Johannes Quaas
Author: Susanne Crewell
Funding Reference(s):Deutsche Forschungsgemeinschaft (DFG): CRC 1211: Earth - Evolution at the Dry Limit
Publisher:Copernicus Publications for the European Geosciences Union (Germany)
CRC1211 Topic:Remote Sensing
Related Sub-project(s):A1
Subject(s):CRC1211 Keywords: Stratocumulus, Meteorology, Clouds, Satellite remote sensing
Topic Category:ClimatologyMeteorologyAtmosphere
File Details
File Name:Boehm_et_al_2019_AMT_Cloud_base_height_retrieval_from_multi-angle_satellite_data.pdf
Data Type:Text
File Size:19551 kB (19.093 MB)
Date(s):Date Accepted: 2019-02-22
Available: 2019-03-20
Mime Type:application/pdf
Data Format:PDF
Download Permission:OnlyCRC1211
General Access and Use Conditions:According to the CRC1211DB data policy agreement.
Access Limitations:According to the CRC1211DB data policy agreement.
Licence:Creative Commons Attribution 4.0 International (CC BY 4.0)
North:-no map data
Measurement Region:Other
Measurement Location:--Other--
Specific Informations - Publication
Article Type:Journal
Source:Atmospheric Measurement Techniques
Number Of Pages:20
Page Range:1841 - 1860
Metadata Details
Metadata Creator:Christoph Böhm
Metadata Created:2021-01-20
Metadata Last Updated:2021-01-20
Funding Phase:1
Metadata Language:English
Metadata Version:V43
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