Articles | Volume 18, issue 14
https://doi.org/10.5194/acp-18-10715-2018
© 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/acp-18-10715-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Ice cloud microphysical trends observed by the Atmospheric Infrared Sounder
Brian H. Kahn
CORRESPONDING AUTHOR
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, 91109, USA
Hanii Takahashi
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, 91109, USA
Joint Institute for Regional Earth System Science and Engineering,
University of California – Los Angeles, Los Angeles, CA, 90095, USA
Graeme L. Stephens
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, 91109, USA
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, 91109, USA
Julien Delanoë
LATMOS/IPSL, UVSQ-CNRS-UPMC, 11 Boulevard D'Alembert, 78280 Guyancourt, France
Gerald Manipon
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, 91109, USA
Evan M. Manning
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, 91109, USA
Andrew J. Heymsfield
National Center for Atmospheric Research, Boulder, CO, 80301, USA
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Cited
12 citations as recorded by crossref.
- Importance of Pressure Changes in High Cloud Area Feedback Due to Global Warming T. Ohno et al. 10.1029/2021GL093646
- A Lagrangian Perspective on Tropical Anvil Cloud Lifecycle in Present and Future Climate B. Gasparini et al. 10.1029/2020JD033487
- Effects of high-resolution geostationary satellite imagery on the predictability of tropical thunderstorms over Southeast Asia K. Lee et al. 10.5194/nhess-19-2241-2019
- Time-Dependent Systematic Biases in Inferring Ice Cloud Properties from Geostationary Satellite Observations D. Li et al. 10.3390/rs15030855
- Machine Learning Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation J. Lee et al. 10.3390/rs13030456
- A global record of single-layered ice cloud properties and associated radiative heating rate profiles from an A-Train perspective E. Dolinar et al. 10.1007/s00382-019-04682-8
- The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. 10.3390/rs16142578
- A Novel Ice Cloud Retrieval Algorithm for Submillimeter Wave Radiometers: Simulations and Application to an Airborne Experiment P. Dong et al. 10.1109/TGRS.2023.3274633
- 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
- Development of CO2 Band-Based Cloud Emission and Scattering Indices and Their Applications to FY-3D Hyperspectral Infrared Atmospheric Sounder X. Xia & X. Zou 10.3390/rs12244171
- 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
- Footprint-scale cloud type mixtures and their impacts on Atmospheric Infrared Sounder cloud property retrievals A. Guillaume et al. 10.5194/amt-12-4361-2019
12 citations as recorded by crossref.
- Importance of Pressure Changes in High Cloud Area Feedback Due to Global Warming T. Ohno et al. 10.1029/2021GL093646
- A Lagrangian Perspective on Tropical Anvil Cloud Lifecycle in Present and Future Climate B. Gasparini et al. 10.1029/2020JD033487
- Effects of high-resolution geostationary satellite imagery on the predictability of tropical thunderstorms over Southeast Asia K. Lee et al. 10.5194/nhess-19-2241-2019
- Time-Dependent Systematic Biases in Inferring Ice Cloud Properties from Geostationary Satellite Observations D. Li et al. 10.3390/rs15030855
- Machine Learning Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation J. Lee et al. 10.3390/rs13030456
- A global record of single-layered ice cloud properties and associated radiative heating rate profiles from an A-Train perspective E. Dolinar et al. 10.1007/s00382-019-04682-8
- The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals F. Romano et al. 10.3390/rs16142578
- A Novel Ice Cloud Retrieval Algorithm for Submillimeter Wave Radiometers: Simulations and Application to an Airborne Experiment P. Dong et al. 10.1109/TGRS.2023.3274633
- 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
- Development of CO2 Band-Based Cloud Emission and Scattering Indices and Their Applications to FY-3D Hyperspectral Infrared Atmospheric Sounder X. Xia & X. Zou 10.3390/rs12244171
- 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
- Footprint-scale cloud type mixtures and their impacts on Atmospheric Infrared Sounder cloud property retrievals A. Guillaume et al. 10.5194/amt-12-4361-2019
Latest update: 24 Dec 2024
Short summary
The Atmospheric Infrared Sounder (AIRS) satellite instrument shows statistically significant global trends in ice cloud properties between September 2002 and August 2016. The trends are not explained by known AIRS instrument limitations. Significant differences in the ice cloud particle size is found between convective clouds and thin ice clouds in the tropics. These results will be a useful benchmark for other studies of global ice cloud properties.
The Atmospheric Infrared Sounder (AIRS) satellite instrument shows statistically significant...
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