Articles | Volume 19, issue 13
Atmos. Chem. Phys., 19, 8759–8782, 2019
https://doi.org/10.5194/acp-19-8759-2019
Atmos. Chem. Phys., 19, 8759–8782, 2019
https://doi.org/10.5194/acp-19-8759-2019
Research article
10 Jul 2019
Research article | 10 Jul 2019

Arctic cloud annual cycle biases in climate models

Patrick C. Taylor et al.

Related authors

The effect of low-level thin arctic clouds on shortwave irradiance: evaluation of estimates from spaceborne passive imagery with aircraft observations
Hong Chen, Sebastian Schmidt, Michael D. King, Galina Wind, Anthony Bucholtz, Elizabeth A. Reid, Michal Segal-Rozenhaimer, William L. Smith, Patrick C. Taylor, Seiji Kato, and Peter Pilewskie
Atmos. Meas. Tech., 14, 2673–2697, https://doi.org/10.5194/amt-14-2673-2021,https://doi.org/10.5194/amt-14-2673-2021, 2021
Short summary
Clouds damp the radiative impacts of polar sea ice loss
Ramdane Alkama, Patrick C. Taylor, Lorea Garcia-San Martin, Herve Douville, Gregory Duveiller, Giovanni Forzieri, Didier Swingedouw, and Alessandro Cescatti
The Cryosphere, 14, 2673–2686, https://doi.org/10.5194/tc-14-2673-2020,https://doi.org/10.5194/tc-14-2673-2020, 2020
Short summary
Microphysical variability of Amazonian deep convective cores observed by CloudSat and simulated by a multi-scale modeling framework
J. Brant Dodson, Patrick C. Taylor, and Mark Branson
Atmos. Chem. Phys., 18, 6493–6510, https://doi.org/10.5194/acp-18-6493-2018,https://doi.org/10.5194/acp-18-6493-2018, 2018
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Convective updrafts near sea-breeze fronts
Shizuo Fu, Richard Rotunno, and Huiwen Xue
Atmos. Chem. Phys., 22, 7727–7738, https://doi.org/10.5194/acp-22-7727-2022,https://doi.org/10.5194/acp-22-7727-2022, 2022
Short summary
Evaluation of modelled summertime convective storms using polarimetric radar observations
Prabhakar Shrestha, Silke Trömel, Raquel Evaristo, and Clemens Simmer
Atmos. Chem. Phys., 22, 7593–7618, https://doi.org/10.5194/acp-22-7593-2022,https://doi.org/10.5194/acp-22-7593-2022, 2022
Short summary
Evaluating seasonal and regional distribution of snowfall in regional climate model simulations in the Arctic
Annakaisa von Lerber, Mario Mech, Annette Rinke, Damao Zhang, Melanie Lauer, Ana Radovan, Irina Gorodetskaya, and Susanne Crewell
Atmos. Chem. Phys., 22, 7287–7317, https://doi.org/10.5194/acp-22-7287-2022,https://doi.org/10.5194/acp-22-7287-2022, 2022
Short summary
Modeling impacts of ice-nucleating particles from marine aerosols on mixed-phase orographic clouds during 2015 ACAPEX field campaign
Yun Lin, Jiwen Fan, Pengfei Li, Lai-yung Ruby Leung, Paul J. DeMott, Lexie Goldberger, Jennifer Comstock, Ying Liu, Jong-Hoon Jeong, and Jason Tomlinson
Atmos. Chem. Phys., 22, 6749–6771, https://doi.org/10.5194/acp-22-6749-2022,https://doi.org/10.5194/acp-22-6749-2022, 2022
Short summary
Influences of an entrainment–mixing parameterization on numerical simulations of cumulus and stratocumulus clouds
Xiaoqi Xu, Chunsong Lu, Yangang Liu, Shi Luo, Xin Zhou, Satoshi Endo, Lei Zhu, and Yuan Wang
Atmos. Chem. Phys., 22, 5459–5475, https://doi.org/10.5194/acp-22-5459-2022,https://doi.org/10.5194/acp-22-5459-2022, 2022
Short summary

Cited articles

Barton, N. P., Klein, S. A., Boyle, J. S., and Zhang, Y. Y.: Arctic synoptic regimes: Comparing domain-wide Arctic cloud observations with CAM4 and CAM5 during similar dynamics, J. Geophys. Res.-Atmos., 117, D15205, https://doi.org/10.1029/2012JD017589, 2012. 
Beesley, J. A. and Moritz, R. E.: Toward an Explanation of the Annual Cycle of Cloudiness over the Arctic Ocean, J. Climate, 12, 395–415, https://doi.org/10.1175/1520-0442(1999)012<0395:TAEOTA>2.0.CO;2, 1999. 
Boeke, R. C. and Taylor, P. C.: Evaluation of the Arctic surface radiation budget in CMIP5 models, J. Geophys. Res.-Atmos., 121, 2016JD025099, https://doi.org/10.1002/2016JD025099, 2016. 
Boer, G., de Morrison, H., Shupe, M. D., and Hildner, R.: Evidence of liquid dependent ice nucleation in high-latitude stratiform clouds from surface remote sensors, Geophys. Res. Lett., 38, L01803, https://doi.org/10.1029/2010GL046016, 2011. 
Cesana, G., Kay, J. E., Chepfer, H., English, J. M., and de Boer, G.: Ubiquitous low-level liquid-containing Arctic clouds: New observations and climate model constraints from CALIPSO-GOCCP, Geophys. Res. Lett., 39, L20804, https://doi.org/10.1029/2012GL053385, 2012. 
Download
Short summary
Climate projections disagree more in the rapidly changing Arctic than anywhere else. The impact of a changing Arctic spans food and water security, economics, national security, etc. The representation of Arctic clouds within climate models is a critical roadblock towards improving Arctic climate projections. We explore the potential drivers of the diverse representation of the Arctic cloud annual cycle within climate models providing evidence that microphysical processes are a key driver.
Altmetrics
Final-revised paper
Preprint