Articles | Volume 11, issue 1
https://doi.org/10.5194/amt-11-633-2018
© 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/amt-11-633-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Feb 2018
Research article |
| 01 Feb 2018
| 01 Feb 2018
Characterization of AVHRR global cloud detection sensitivity based on CALIPSO-CALIOP cloud optical thickness information: demonstration of results based on the CM SAF CLARA-A2 climate data record
Karl-Göran Karlsson
CORRESPONDING AUTHOR
Swedish Meteorological and Hydrological Institute, Folkborgsvägen 17, 601 76 Norrköping, Sweden
Nina Håkansson
Swedish Meteorological and Hydrological Institute, Folkborgsvägen 17, 601 76 Norrköping, Sweden
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- CLARA-A3: The third edition of the AVHRR-based CM SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023 K. Karlsson et al. 10.5194/essd-15-4901-2023
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- A monthly 1° resolution dataset of daytime cloud fraction over the Arctic during 2000–2020 based on multiple satellite products X. Liu et al. 10.5194/essd-15-3641-2023
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- Decadal Stability and Trends in the Global Cloud Amount and Cloud Top Temperature in the Satellite-Based Climate Data Records A. Devasthale & K. Karlsson 10.3390/rs15153819
- Exploring the Cloud Top Phase Partitioning in Different Cloud Types Using Active and Passive Satellite Sensors O. Bruno et al. 10.1029/2020GL089863
- A Multisensor Approach to Global Retrievals of Land Surface Albedo A. Riihelä et al. 10.3390/rs10060848
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Latest update: 20 Nov 2024
Short summary
Data from the high-sensitivity CALIOP cloud lidar onboard the CALIPSO satellite have been used to evaluate cloud amounts estimated from satellite imagery and, specifically, from the climate data record CLARA-A2. The main purpose has been to study the limit of how thin clouds that can be detected efficiently (i.e., detected at the 50 % level) in CLARA-A2 data and how this limit varies globally. The study revealed very large geographical differences in the cloud detection efficiency.
Data from the high-sensitivity CALIOP cloud lidar onboard the CALIPSO satellite have been used...
