[392] - Cloud base height retrieval from multi-angle satellite data
All available metadata of the dataset is listed below. Some features are available, e.g. download of dataset or additional description file.
By downloading files from this dataset you accept the license terms of Creative Commons Attribution 4.0 International (CC BY 4.0 ) and CRC1211DBData Protection Statement.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
VERY IMPORTANT!
Due to the speed of the filesystem and depending on the size of the archive and the file to be extracted, it may take up to thirty (!) minutes until a download is ready! Beware of that when confirming since you may not close the tab because otherwise, you will not get your file!
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
VERY IMPORTANT!
Due to the speed of the filesystem and depending on the size of the archive and the file to be extracted, it may take up to thirty (!) minutes until a download is ready! Beware of that when confirming since you may not close the tab because otherwise, you will not get your file!
Features | ||
---|---|---|
Citation | ||
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. | ||
Citation Options | ||
Export as: Select the file format for your download. | Citation style: Select the displayed citation style. | |
Identification | ||
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) | |
Topic | ||
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: | ||
Language: | English | |
Status: | Completed | |
Constraints | ||
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) | |
Geographic | ||
North: | - | ![]() |
East: | - | |
South: | - | |
West: | - | |
Measurement Region: | Other | |
Measurement Location: | --Other-- | |
Specific Informations - Publication | ||
Status: | Published | |
Review: | PeerReview | |
Year: | 2019 | |
Type: | Article | |
Article Type: | Journal | |
Source: | Atmospheric Measurement Techniques | |
Issue: | 3 | |
Volume: | 12 | |
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 | |
Subproject: | A1 | |
Funding Phase: | 1 | |
Metadata Language: | English | |
Metadata Version: | V43 | |
Metadata Export | ||
Metadata Export: | ||
Dataset Metrics | ||
Page Visits: | 21 | |
Metadata Downloads: | 0 | |
Dataset Downloads: | 0 | |
Dataset Activity | ||
Features | ||