Cloud base height retrieval from multi-angle satellite data

This page lists all metadata that was entered for this dataset. Only registered users of the CRC1211DB may download this file.

Feature
Request downloadRequest download
Full Name:
Affiliation:
eMail:
Purpose of use:
 
Bot check:
Type all characters with this
color
.
 
It is case sensitive.
 
 
 
Submit
Citation
Citation Options
Identification
Title:Main Title: Cloud base height retrieval from multi-angle satellite data
Description: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:10.5194/amt-12-1841-2019 (DOI)
Responsible Party
Creators:Christoph Böhm (Author), Odran Sourdeval (Author), Johannes Mülmenstädt (Author), Johannes Quaas (Author), Susanne Crewell (Author)
Funding Reference:Deutsche Forschungsgemeinschaft (DFG): CRC 1211: Earth - Evolution at the Dry Limit
Publisher:Copernicus Publications for the European Geosciences Union (Germany)
Publication Year:2019
Topic
CRC1211 Topic:Remote Sensing
Related Subproject:A1
Subjects:Keywords: Stratocumulus, Meteorology, Clouds, Satellite remote sensing
Geogr. Information Topic:Climatology/Meteorology/Atmosphere
File Details
Filename:Boehm_et_al_2019_AMT_Cloud_base_height_retrieval_from_multi-angle_satellite_data.pdf
Data Type:Text - Article
File Size:19.1 MB
Dates:Accepted: 22.02.2019
Available: 20.03.2019
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:Only Project Members
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)
Geographic
Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Atmospheric Measurement Techniques
Issue:3
Volume:12
Number of Pages:20 (1841 - 1860)
Metadata Details
Metadata Creator:Christoph Böhm
Metadata Created:20.01.2021
Metadata Last Updated:08.06.2021
Subproject:A1
Funding Phase:1
Metadata Language:English
Metadata Version:V50
Metadata Export
Metadata Schema:
Dataset Statistics
Page Visits:68
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity
Feature
A download is not possibleDownload