Articles | Volume 23, issue 16
https://doi.org/10.5194/acp-23-9037-2023
https://doi.org/10.5194/acp-23-9037-2023
Research article
 | 
17 Aug 2023
Research article |  | 17 Aug 2023

Earth-system-model evaluation of cloud and precipitation occurrence for supercooled and warm clouds over the Southern Ocean's Macquarie Island

McKenna W. Stanford, Ann M. Fridlind, Israel Silber, Andrew S. Ackerman, Greg Cesana, Johannes Mülmenstädt, Alain Protat, Simon Alexander, and Adrian McDonald

Related authors

Warm-phase Microphysical Evolution in Large Eddy Simulations of Tropical Cumulus Congestus: Constraining Drop Size Distribution Evolution using Polarimetery Retrievals and a Thermal-Based Framework
McKenna Stanford, Ann Fridlind, Andrew Ackerman, Bastiaan van Diedenhoven, Qian Xiao, Jian Wang, Toshihisa Matsui, Daniel Hernandez-Deckers, and Paul Lawson
EGUsphere, https://doi.org/10.5194/egusphere-2024-2413,https://doi.org/10.5194/egusphere-2024-2413, 2024
Short summary

Cited articles

Abdul-Razzak, H., Ghan, S. J., and Rivera-Carpio, C.: A parameterization of aerosol activation: 1. Single aerosol type, J. Geophys. Res.-Atmos., 103, 6123–6131, https://doi.org/10.1029/97JD03735, 1998. a
Adams, N.: Climate trends at Macquarie Island and expectations of future climate change in the sub-Antarctic, Papers Proc. Roy. Soc. Tasmania, 143, 1–8, https://doi.org/10.26749/RSTPP.143.1.1, 2009. a
Alexander, S.: BASTA Cloud Radar data from Macquarie Island, 2016–2017, Ver. 1, Australian Antarctic Data Centre [data set], https://doi.org/10.26179/5d91836ca8fc3, 2019. a
Alexander, S. and McDonald, A.: University of Canterbury's Vaisala CL51 Ceilometer at Macquarie Island 2016–2018, Australian Antarctic Data Centre [data set], https://doi.org/10.26179/5d91835e2ccc3, 2019. a
Alexander, S. and McDonald, A.: University of Canterbury's Vaisala CL51 Ceilometer at Macquarie Island 2016–2018, Ver. 1, Australian Antarctic Data Centre [data set], https://doi.org/10.26179/5d91835e2ccc3, 2020. a
Download
Short summary
Clouds play an important role in the Earth’s climate system as they modulate the amount of radiation that either reaches the surface or is reflected back to space. This study demonstrates an approach to robustly evaluate surface-based observations against a large-scale model. We find that the large-scale model precipitates too infrequently relative to observations, contrary to literature documentation suggesting otherwise based on satellite measurements.
Share
Altmetrics
Final-revised paper
Preprint