Articles | Volume 18, issue 15
https://doi.org/10.5194/acp-18-11205-2018
© 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-18-11205-2018
© 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 Aug 2018
Research article |
| 13 Aug 2018
| 13 Aug 2018
An update on global atmospheric ice estimates from satellite observations and reanalyses
David Ian Duncan
CORRESPONDING AUTHOR
Department of Earth, Space, and Environment, Chalmers University of Technology, 41296, Gothenburg, Sweden
Patrick Eriksson
Department of Earth, Space, and Environment, Chalmers University of Technology, 41296, Gothenburg, Sweden
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- The behavior of high-CAPE (convective available potential energy) summer convection in large-domain large-eddy simulations with ICON H. Rybka et al. 10.5194/acp-21-4285-2021
- On the effects of cloud water content on passive microwave snowfall retrievals S. Vahedizade et al. 10.1016/j.rse.2022.113187
- Ice water path retrievals from Meteosat-9 using quantile regression neural networks A. Amell et al. 10.5194/amt-15-5701-2022
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- Retrieval of ice water path from the Microwave Humidity Sounder (MWHS) aboard FengYun-3B (FY-3B) satellite polarimetric measurements based on a deep neural network W. Wang et al. 10.5194/amt-15-6489-2022
- Improved Representation of Clouds in the Atmospheric Component LMDZ6A of the IPSL‐CM6A Earth System Model J. Madeleine et al. 10.1029/2020MS002046
- Upper tropospheric ice sensitivity to sulfate geoengineering D. Visioni et al. 10.5194/acp-18-14867-2018
- Estimating total attenuation using Rayleigh targets at cloud top: applications in multilayer and mixed-phase clouds observed by ground-based multifrequency radars F. Tridon et al. 10.5194/amt-13-5065-2020
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- The total mass and spatial–temporal variability of aerial cryosphere over the Tibetan Plateau from 2003 to 2020 Y. Yang et al. 10.3389/feart.2022.998603
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Latest update: 19 Apr 2024
Short summary
Ice cloud mass is assessed on a global scale using the latest satellite and reanalysis datasets. While ice cloud variability driven by large-scale circulations is an area of relative consensus, models and observations disagree strongly on the overall magnitude and finer-scale variability of atmospheric ice mass. The results reflect limitations of the current Earth observing system and indicate ice microphysical assumptions as the likely culprit of disagreement.
Ice cloud mass is assessed on a global scale using the latest satellite and reanalysis datasets....
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