Articles | Volume 17, issue 22
https://doi.org/10.5194/acp-17-13625-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-13625-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Nov 2017
Research article |
| 15 Nov 2017
Cloud climatologies from the infrared sounders AIRS and IASI: strengths and applications
Claudia J. Stubenrauch
CORRESPONDING AUTHOR
Laboratoire de Météorologie Dynamique/Institute Pierre-Simon
Laplace, (LMD/IPSL), CNRS, Sorbonne Universities, University Pierre and
Marie Curie (UPMC) Paris, University of Paris 06, Paris, France
Laboratoire de Météorologie Dynamique/Institute Pierre-Simon
Laplace, (LMD/IPSL), CNRS, Ecole Polytechnique, Université Paris-Saclay,
Palaiseau, France
Artem G. Feofilov
Laboratoire de Météorologie Dynamique/Institute Pierre-Simon
Laplace, (LMD/IPSL), CNRS, Sorbonne Universities, University Pierre and
Marie Curie (UPMC) Paris, University of Paris 06, Paris, France
Laboratoire de Météorologie Dynamique/Institute Pierre-Simon
Laplace, (LMD/IPSL), CNRS, Ecole Polytechnique, Université Paris-Saclay,
Palaiseau, France
Sofia E. Protopapadaki
Laboratoire de Météorologie Dynamique/Institute Pierre-Simon
Laplace, (LMD/IPSL), CNRS, Sorbonne Universities, University Pierre and
Marie Curie (UPMC) Paris, University of Paris 06, Paris, France
Laboratoire de Météorologie Dynamique/Institute Pierre-Simon
Laplace, (LMD/IPSL), CNRS, Ecole Polytechnique, Université Paris-Saclay,
Palaiseau, France
Raymond Armante
Laboratoire de Météorologie Dynamique/Institute Pierre-Simon
Laplace, (LMD/IPSL), CNRS, Ecole Polytechnique, Université Paris-Saclay,
Palaiseau, France
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Cited
24 citations as recorded by crossref.
- Convective organization and 3D structure of tropical cloud systems deduced from synergistic A-Train observations and machine learning C. Stubenrauch et al. 10.5194/acp-23-5867-2023
- Diurnal variation of high-level clouds from the synergy of AIRS and IASI space-borne infrared sounders A. Feofilov & C. Stubenrauch 10.5194/acp-19-13957-2019
- Cloud Cover in the Australian Region: Development and Validation of a Cloud Masking, Classification and Optical Depth Retrieval Algorithm for the Advanced Himawari Imager Y. Qin et al. 10.3389/fenvs.2019.00020
- Comparison of scattering ratio profiles retrieved from ALADIN/Aeolus and CALIOP/CALIPSO observations and preliminary estimates of cloud fraction profiles A. Feofilov et al. 10.5194/amt-15-1055-2022
- Cloud Top Thermodynamic Phase from Synergistic Lidar-Radar Cloud Products from Polar Orbiting Satellites: Implications for Observations from Geostationary Satellites J. Mayer et al. 10.3390/rs15071742
- Improving remote sensing of extreme events with machine learning: land surface temperature retrievals from IASI observations E. Boucher & F. Aires 10.1088/1748-9326/acb3e3
- A Review of Research on Cloud Detection Methods for Hyperspectral Infrared Radiances Z. Ni et al. 10.3390/rs16244629
- Regional Intensification of the Tropical Hydrological Cycle During ENSO G. Stephens et al. 10.1029/2018GL077598
- Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part II: Results over oceans A. Garnier et al. 10.5194/amt-14-3277-2021
- Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part I: The retrieval algorithms A. Garnier et al. 10.5194/amt-14-3253-2021
- Vertical Profiles of Ice Cloud Microphysical Properties and Their Impacts on Cloud Retrieval Using Thermal Infrared Measurements P. Khatri et al. 10.1029/2017JD028165
- The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. 10.3390/rs16142578
- A CO2-independent cloud mask from Infrared Atmospheric Sounding Interferometer (IASI) radiances for climate applications S. Whitburn et al. 10.5194/amt-15-6653-2022
- Response of the Intertropical Convergence Zone to Climate Change: Location, Width, and Strength M. Byrne et al. 10.1007/s40641-018-0110-5
- Characterizing clouds with the CCClim dataset, a machine learning cloud class climatology A. Kaps et al. 10.5194/essd-16-3001-2024
- 3D radiative heating of tropical upper tropospheric cloud systems derived from synergistic A-Train observations and machine learning C. Stubenrauch et al. 10.5194/acp-21-1015-2021
- Meteorological conditions during the ACLOUD/PASCAL field campaign near Svalbard in early summer 2017 E. Knudsen et al. 10.5194/acp-18-17995-2018
- Global cloud property models for real-time triage on board visible–shortwave infrared spectrometers M. Sandford et al. 10.5194/amt-13-7047-2020
- An Automated Detection Methodology for Dry Well-Mixed Layers S. Nicholls & K. Mohr 10.1175/JTECH-D-18-0149.1
- Lessons Learned from the Updated GEWEX Cloud Assessment Database C. Stubenrauch et al. 10.1007/s10712-024-09824-0
- New Cloud System Metrics to Assess Bulk Ice Cloud Schemes in a GCM C. Stubenrauch et al. 10.1029/2019MS001642
- Opinion: Tropical cirrus – from micro-scale processes to climate-scale impacts B. Gasparini et al. 10.5194/acp-23-15413-2023
- Relationship between latent and radiative heating fields of tropical cloud systems using synergistic satellite observations X. Chen et al. 10.5194/acp-25-6857-2025
- Upper tropospheric cloud systems derived from IR sounders: properties of cirrus anvils in the tropics S. Protopapadaki et al. 10.5194/acp-17-3845-2017
23 citations as recorded by crossref.
- Convective organization and 3D structure of tropical cloud systems deduced from synergistic A-Train observations and machine learning C. Stubenrauch et al. 10.5194/acp-23-5867-2023
- Diurnal variation of high-level clouds from the synergy of AIRS and IASI space-borne infrared sounders A. Feofilov & C. Stubenrauch 10.5194/acp-19-13957-2019
- Cloud Cover in the Australian Region: Development and Validation of a Cloud Masking, Classification and Optical Depth Retrieval Algorithm for the Advanced Himawari Imager Y. Qin et al. 10.3389/fenvs.2019.00020
- Comparison of scattering ratio profiles retrieved from ALADIN/Aeolus and CALIOP/CALIPSO observations and preliminary estimates of cloud fraction profiles A. Feofilov et al. 10.5194/amt-15-1055-2022
- Cloud Top Thermodynamic Phase from Synergistic Lidar-Radar Cloud Products from Polar Orbiting Satellites: Implications for Observations from Geostationary Satellites J. Mayer et al. 10.3390/rs15071742
- Improving remote sensing of extreme events with machine learning: land surface temperature retrievals from IASI observations E. Boucher & F. Aires 10.1088/1748-9326/acb3e3
- A Review of Research on Cloud Detection Methods for Hyperspectral Infrared Radiances Z. Ni et al. 10.3390/rs16244629
- Regional Intensification of the Tropical Hydrological Cycle During ENSO G. Stephens et al. 10.1029/2018GL077598
- Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part II: Results over oceans A. Garnier et al. 10.5194/amt-14-3277-2021
- Version 4 CALIPSO Imaging Infrared Radiometer ice and liquid water cloud microphysical properties – Part I: The retrieval algorithms A. Garnier et al. 10.5194/amt-14-3253-2021
- Vertical Profiles of Ice Cloud Microphysical Properties and Their Impacts on Cloud Retrieval Using Thermal Infrared Measurements P. Khatri et al. 10.1029/2017JD028165
- The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. 10.3390/rs16142578
- A CO2-independent cloud mask from Infrared Atmospheric Sounding Interferometer (IASI) radiances for climate applications S. Whitburn et al. 10.5194/amt-15-6653-2022
- Response of the Intertropical Convergence Zone to Climate Change: Location, Width, and Strength M. Byrne et al. 10.1007/s40641-018-0110-5
- Characterizing clouds with the CCClim dataset, a machine learning cloud class climatology A. Kaps et al. 10.5194/essd-16-3001-2024
- 3D radiative heating of tropical upper tropospheric cloud systems derived from synergistic A-Train observations and machine learning C. Stubenrauch et al. 10.5194/acp-21-1015-2021
- Meteorological conditions during the ACLOUD/PASCAL field campaign near Svalbard in early summer 2017 E. Knudsen et al. 10.5194/acp-18-17995-2018
- Global cloud property models for real-time triage on board visible–shortwave infrared spectrometers M. Sandford et al. 10.5194/amt-13-7047-2020
- An Automated Detection Methodology for Dry Well-Mixed Layers S. Nicholls & K. Mohr 10.1175/JTECH-D-18-0149.1
- Lessons Learned from the Updated GEWEX Cloud Assessment Database C. Stubenrauch et al. 10.1007/s10712-024-09824-0
- New Cloud System Metrics to Assess Bulk Ice Cloud Schemes in a GCM C. Stubenrauch et al. 10.1029/2019MS001642
- Opinion: Tropical cirrus – from micro-scale processes to climate-scale impacts B. Gasparini et al. 10.5194/acp-23-15413-2023
- Relationship between latent and radiative heating fields of tropical cloud systems using synergistic satellite observations X. Chen et al. 10.5194/acp-25-6857-2025
Latest update: 11 Jul 2025
Short summary
We present multi-year cloud climatologies from the advanced IR sounders AIRS and IASI. These data are particularly sensitive to cirrus. Cloud emissivity allows to distinguish between high opaque, thick cirrus and thin cirrus. By comparing tropical geographical change patterns of these cloud types with respect to changing tropical mean surface temperature, it is demonstrated that their response to climate change may be different, with potential consequences on the atmospheric circulation.
We present multi-year cloud climatologies from the advanced IR sounders AIRS and IASI. These...
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