Articles | Volume 18, issue 23
https://doi.org/10.5194/acp-18-17325-2018
© 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-18-17325-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Dec 2018
Research article |
| 06 Dec 2018
| 06 Dec 2018
CALIPSO (IIR–CALIOP) retrievals of cirrus cloud ice-particle concentrations
Desert Research Institute, Reno, Nevada, USA
Anne Garnier
Science Systems and Applications, Inc., Hampton, Virginia, USA
NASA Langley Research Center, Hampton, Virginia, USA
Jacques Pelon
Laboratoire Atmosphères, Milieux, Observations Spatiales,
Sorbonne Université, CNRS, Paris, France
Ehsan Erfani
Department of Atmospheric, Oceanic, and Earth Sciences (AOES), George Mason University, Fairfax, Virginia, USA
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- Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 1: Method and evaluation O. Sourdeval et al. 10.5194/acp-18-14327-2018
28 citations as recorded by crossref.
- Wildfire smoke, Arctic haze, and aerosol effects on mixed-phase and cirrus clouds over the North Pole region during MOSAiC: an introduction R. Engelmann et al. 10.5194/acp-21-13397-2021
- A comparative analysis of in situ measurements of high-altitude cirrus in the tropics F. Cairo et al. 10.5194/amt-16-4899-2023
- Observational Evidence that Radiative Heating Modifies the Life Cycle of Tropical Anvil Clouds C. Wall et al. 10.1175/JCLI-D-20-0204.1
- Optical Property Model for Cirrus Clouds Based on Airborne Multi-Angle Polarization Observations Y. Wang et al. 10.3390/rs13142754
- Decreased Aviation Leads to Increased Ice Crystal Number and a Positive Radiative Effect in Cirrus Clouds J. Zhu et al. 10.1029/2021AV000546
- Cloud-Base Height Retrieval from MODIS Satellite Data Based on Self-Organizing Neural Networks A. Skorokhodov et al. 10.1134/S1024856023060209
- Addressing the urgent need for direct climate cooling: Rationale and options R. Baiman et al. 10.1093/oxfclm/kgae014
- Surprising similarities in model and observational aerosol radiative forcing estimates E. Gryspeerdt et al. 10.5194/acp-20-613-2020
- A Parameterization of Cirrus Cloud Formation: Revisiting Competing Ice Nucleation B. Kärcher 10.1029/2022JD036907
- Opinion: Tropical cirrus – from micro-scale processes to climate-scale impacts B. Gasparini et al. 10.5194/acp-23-15413-2023
- Dominant role of mineral dust in cirrus cloud formation revealed by global-scale measurements K. Froyd et al. 10.1038/s41561-022-00901-w
- 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
- Investigating the radiative effect of Arctic cirrus measured in situ during the winter 2015–2016 A. Marsing et al. 10.5194/acp-23-587-2023
- Ice crystal number concentration from lidar, cloud radar and radar wind profiler measurements J. Bühl et al. 10.5194/amt-12-6601-2019
- Orographic Cirrus and Its Radiative Forcing in NCAR CAM6 K. Lyu et al. 10.1029/2022JD038164
- Characteristics of Ice Clouds Over Mountain Regions Detected by CALIPSO and CloudSat Satellite Observations T. Seiki et al. 10.1029/2019JD030519
- Study on the Seasonal and Spatial Variations of Cirrus Parameters, Radiative Characteristics and Precipitation over the Indian Subcontinent J. Priya et al. 10.1007/s12524-024-01926-x
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. 10.1029/2019RG000660
- A microphysics guide to cirrus – Part 2: Climatologies of clouds and humidity from observations M. Krämer et al. 10.5194/acp-20-12569-2020
- Characteristics of supersaturation in midlatitude cirrus clouds and their adjacent cloud-free air G. Dekoutsidis et al. 10.5194/acp-23-3103-2023
- Ice-nucleating particle versus ice crystal number concentrationin altocumulus and cirrus layers embedded in Saharan dust:a closure study A. Ansmann et al. 10.5194/acp-19-15087-2019
- The Global Distribution of Cirrus Clouds Reflectance Based on MODIS Level-3 Data F. Zhao et al. 10.3390/atmos11020219
- Observation of Blue Corona Discharges and Cloud Microphysics in the Top of Thunderstorm Cells in Cyclone Fani D. Li et al. 10.1029/2022JD038328
- The effects of warm-air intrusions in the high Arctic on cirrus clouds G. Dekoutsidis et al. 10.5194/acp-24-5971-2024
- Effects of thermodynamics, dynamics and aerosols on cirrus clouds based on in situ observations and NCAR CAM6 R. Patnaude et al. 10.5194/acp-21-1835-2021
- Characterising optical array particle imaging probes: implications for small-ice-crystal observations S. O'Shea et al. 10.5194/amt-14-1917-2021
- 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
- The Global Spatial and Temporal Distribution of Ice Cloud Optical Thickness Based on MODIS Satellite Data during 2000–2021 F. Zhao et al. 10.3390/atmos14060977
3 citations as recorded by crossref.
- Anthropogenic Aerosol Indirect Effects in Cirrus Clouds J. Penner et al. 10.1029/2018JD029204
- Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 2: Controls on the ice crystal number concentration E. Gryspeerdt et al. 10.5194/acp-18-14351-2018
- Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 1: Method and evaluation O. Sourdeval et al. 10.5194/acp-18-14327-2018
Latest update: 06 Jan 2025
Short summary
To realistically model a changing climate, global measurements of cirrus cloud ice-particle number concentration (N) and size (De) are needed, through which one may infer the general mechanism of ice formation. A satellite remote sensing method was developed to measure N and De. It was found that N was highest and De lowest at high latitudes. In the Arctic, cirrus clouds occurred much more often during winter, which may have an impact on mid-latitude winter weather.
To realistically model a changing climate, global measurements of cirrus cloud ice-particle...
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