Articles | Volume 19, issue 13
https://doi.org/10.5194/acp-19-8759-2019
© Author(s) 2019. 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-19-8759-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Jul 2019
Research article |
| 10 Jul 2019
| 10 Jul 2019
Arctic cloud annual cycle biases in climate models
Patrick C. Taylor
CORRESPONDING AUTHOR
NASA Langley Research Center, Climate Science Branch, Hampton,
Virginia, USA
Robyn C. Boeke
Science Systems Applications Inc., Hampton, Virginia, USA
Ying Li
Department of Atmospheric Science, Colorado State University, Fort
Collins, Colorado, USA
David W. J. Thompson
Department of Atmospheric Science, Colorado State University, Fort
Collins, Colorado, USA
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37 citations as recorded by crossref.
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35 citations as recorded by crossref.
- Ice multiplication from ice–ice collisions in the high Arctic: sensitivity to ice habit, rimed fraction, ice type and uncertainties in the numerical description of the process G. Sotiropoulou et al. 10.5194/acp-21-9741-2021
- Open Water in Sea Ice Causes High Bias in Polar Low‐Level Clouds in GFDL CM4 X. Li et al. 10.1029/2023GL106322
- Evaluation of simulated cloud liquid water in low clouds over the Beaufort Sea in the Arctic System Reanalysis using ARISE airborne in situ observations J. Dodson et al. 10.5194/acp-21-11563-2021
- The climate response to increased cloud liquid water over the Arctic in CESM1: a sensitivity study of Wegener–Bergeron–Findeisen process Y. Huang et al. 10.1007/s00382-021-05648-5
- Active thermokarst regions contain rich sources of ice-nucleating particles K. Barry et al. 10.5194/acp-23-15783-2023
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- Evaluation of a New Merged Sea-Ice Concentration Dataset at 1 km Resolution from Thermal Infrared and Passive Microwave Satellite Data in the Arctic V. Ludwig et al. 10.3390/rs12193183
- Radiative effects of precipitation on the global energy budget and Arctic amplification T. Michibata 10.1038/s41612-024-00684-4
- Annual cycle observations of aerosols capable of ice formation in central Arctic clouds J. Creamean et al. 10.1038/s41467-022-31182-x
- Persistence and Potential Atmospheric Ramifications of Ice-Nucleating Particles Released from Thawing Permafrost K. Barry et al. 10.1021/acs.est.2c06530
- Multi-LEO Satellite Stereo Winds J. Carr et al. 10.3390/rs15082154
- Hidden Production: On the Importance of Pelagic Phytoplankton Blooms Beneath Arctic Sea Ice J. Clement Kinney et al. 10.1029/2020JC016211
- Seasonal Variations of Arctic Low‐Level Clouds and Its Linkage to Sea Ice Seasonal Variations Y. Yu et al. 10.1029/2019JD031014
- The influence of recent and future climate change on spring Arctic cyclones C. Parker et al. 10.1038/s41467-022-34126-7
- Potential Link Between Ice Nucleation and Climate Model Spread in Arctic Amplification I. Tan et al. 10.1029/2021GL097373
- Raman lidar-derived optical and microphysical properties of ice crystals within thin Arctic clouds during PARCS campaign P. Chazette & J. Raut 10.5194/amt-16-5847-2023
- Thawing permafrost: an overlooked source of seeds for Arctic cloud formation J. Creamean et al. 10.1088/1748-9326/ab87d3
- The Impacts of Immersion Ice Nucleation Parameterizations on Arctic Mixed-Phase Stratiform Cloud Properties and the Arctic Radiation Budget in GEOS-5 I. Tan & D. Barahona 10.1175/JCLI-D-21-0368.1
- Seasonal Cycle of Idealized Polar Clouds: Large Eddy Simulations Driven by a GCM X. Zhang et al. 10.1029/2021MS002671
- Contribution of fluorescent primary biological aerosol particles to low-level Arctic cloud residuals G. Pereira Freitas et al. 10.5194/acp-24-5479-2024
- Assessing the vertical structure of Arctic aerosols using balloon-borne measurements J. Creamean et al. 10.5194/acp-21-1737-2021
- A Cloudier Picture of Ice-Albedo Feedback in CMIP6 Models A. Sledd & T. L’Ecuyer 10.3389/feart.2021.769844
- Is Alaska’s Yukon–Kuskokwim Delta Greening or Browning? Resolving Mixed Signals of Tundra Vegetation Dynamics and Drivers in the Maritime Arctic G. Frost et al. 10.1175/EI-D-20-0025.1
- Characterisation of low-base and mid-base clouds and their thermodynamic phase over the Southern Ocean and Arctic marine regions B. Dietel et al. 10.5194/acp-24-7359-2024
- An assessment of Arctic cloud water paths in atmospheric reanalyses M. Gu et al. 10.1007/s13131-021-1706-5
- Arctic cloud properties and associated radiative effects in the three newer reanalysis datasets (ERA5, MERRA-2, JRA-55): Discrepancies and possible causes H. Yeo et al. 10.1016/j.atmosres.2022.106080
- Antarctic sea ice surface temperature bias in atmospheric reanalyses induced by the combined effects of sea ice and clouds Z. Wang et al. 10.1038/s43247-024-01692-1
- A Decomposition of Feedback Contributions to the Arctic Surface Temperature Biases in the CMIP5 Climate Models D. Park et al. 10.1007/s13143-022-00268-3
- Effects of Water Vapor and Cloud Fraction in AIRS Retrievals on Arctic Sea Ice Variability L. Chang et al. 10.1109/TGRS.2022.3185636
- Inter-comparison of melt pond products from optical satellite imagery S. Lee et al. 10.1016/j.rse.2023.113920
- Clouds and Radiation Processes in Regional Climate Models Evaluated Using Observations Over the Ice‐free Arctic Ocean J. Inoue et al. 10.1029/2020JD033904
- Challenges in Detecting Clouds in Polar Regions Using a Drone with Onboard Low-Cost Particle Counter J. Inoue & K. Sato 10.1016/j.atmosenv.2023.120085
- An evaluation of the Arctic clouds and surface radiative fluxes in CMIP6 models J. Wei et al. 10.1007/s13131-021-1705-6
- Arctic Clouds Simulated by a Multiscale Modeling Framework and Comparisons With Observations and Conventional GCMs Z. Li & K. Xu 10.1029/2019JD030522
- On the Nature of the Arctic's Positive Lapse‐Rate Feedback R. Boeke et al. 10.1029/2020GL091109
Latest update: 22 Nov 2024
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.
Climate projections disagree more in the rapidly changing Arctic than anywhere else. The impact...
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