Articles | Volume 11, issue 6
https://doi.org/10.5194/amt-11-3373-2018
© 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-11-3373-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Jun 2018
Research article |
| 13 Jun 2018
| 13 Jun 2018
The Community Cloud retrieval for CLimate (CC4CL) – Part 1: A framework applied to multiple satellite imaging sensors
Oliver Sus
DWD – Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
DWD – Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
Stefan Stapelberg
DWD – Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
Gregory McGarragh
Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford OX1 3PU, UK
Caroline Poulsen
RAL Space – Rutherford Appleton Laboratory, Chilton, Didcot OX11 0QX, UK
Adam C. Povey
National Centre for Earth Observation, Atmospheric, Oceanic and Planetary Physics, University of Oxford, Parks Road, Oxford OX1 3PU, UK
Cornelia Schlundt
DWD – Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
Gareth Thomas
RAL Space – Rutherford Appleton Laboratory, Chilton, Didcot OX11 0QX, UK
Matthew Christensen
Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford OX1 3PU, UK
RAL Space – Rutherford Appleton Laboratory, Chilton, Didcot OX11 0QX, UK
Simon Proud
Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford OX1 3PU, UK
Matthias Jerg
DWD – Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
Roy Grainger
National Centre for Earth Observation, Atmospheric, Oceanic and Planetary Physics, University of Oxford, Parks Road, Oxford OX1 3PU, UK
Rainer Hollmann
DWD – Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach, Germany
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- Drivers of the Low-Cloud Response to Poleward Jet Shifts in the North Pacific in Observations and Models M. Zelinka et al. 10.1175/JCLI-D-18-0114.1
- Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation A. Kaps et al. 10.1109/TGRS.2023.3237008
- Validation of the Cloud_CCI (Cloud Climate Change Initiative) cloud products in the Arctic K. Vinjamuri et al. 10.5194/amt-16-2903-2023
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- Improvement of spatial-temporal resolution of aerosol profile by using multi-source satellite data over the Persian Gulf M. Pashayi et al. 10.1016/j.atmosenv.2022.119410
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- Inter-Comparison and Evaluation of the Four Longest Satellite-Derived Cloud Climate Data Records: CLARA-A2, ESA Cloud CCI V3, ISCCP-HGM, and PATMOS-x K. Karlsson & A. Devasthale 10.3390/rs10101567
- Improving the accuracy of AOD by using multi-sensors data over the Red Sea and the Persian Gulf M. Pashayi et al. 10.1016/j.apr.2023.101948
- Evaluating cloud properties in an ensemble of regional online coupled models against satellite observations R. Baró et al. 10.5194/acp-18-15183-2018
- The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model S. Eliasson et al. 10.5194/gmd-12-829-2019
- Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator M. Stengel et al. 10.5194/acp-18-17601-2018
- Evaluation and comparison of a machine learning cloud identification algorithm for the SLSTR in polar regions C. Poulsen et al. 10.1016/j.rse.2020.111999
- Satellite remote sensing of regional and seasonal Arctic cooling showing a multi-decadal trend towards brighter and more liquid clouds L. Lelli et al. 10.5194/acp-23-2579-2023
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- Improving discrimination between clouds and optically thick aerosol plumes in geostationary satellite data D. Robbins et al. 10.5194/amt-15-3031-2022
- The Role of Clouds in Coral Bleaching Events Over the Great Barrier Reef W. Zhao et al. 10.1029/2021GL093936
- Cloud<i>_</i>cci ATSR-2 and AATSR data set version 3: a 17-year climatology of global cloud and radiation properties C. Poulsen et al. 10.5194/essd-12-2121-2020
2 citations as recorded by crossref.
Latest update: 29 Nov 2023
Short summary
This paper presents a new cloud detection and classification framework, CC4CL. It applies a sophisticated optimal estimation method to derive cloud variables from satellite data of various polar-orbiting platforms and sensors (AVHRR, MODIS, AATSR). CC4CL provides explicit uncertainty quantification and long-term consistency for decadal timeseries at various spatial resolutions. We analysed 5 case studies to show that cloud height estimates are very realistic unless optically thin clouds overlap.
This paper presents a new cloud detection and classification framework, CC4CL. It applies a...
