CESM2 SMOOTH experiments

The Arctic is undergoing a pronounced and rapid transformation in response to changing greenhouse gasses, including reduction in sea ice extent and thickness. There are also projected increases in near-surface Arctic winds. This study addresses how the winds trends may be driven by changing surface roughness and/or stability in different Arctic regions. These data are from five experiments using CESM2 with an artificially decreased sea ice roughness to match that of the open ocean. The data included include only select variables from the atmospheric and sea ice model components. These variables are included because they were used for figures and analysis in the associated manuscript: DuVivier, A.K. et al. (2023) "Investigating future Arctic sea ice loss and near-surface wind speed changes related to surface roughness using the Community Earth System Model." Journal of Geophysical Research - Atmospheres.

DOI

https://doi.org/10.5065/gc1t-kg59

Temporal Range

2015 to 2100

Temporal Resolution

1.0 day
1.0 month

Spatial Resolution

1.0 degreeGrid

Related Links

N/A

GCMD Science Keywords

• Atmosphere > Atmospheric Winds > Surface Winds > Wind Speed
• Climate Indicators > Cryospheric Indicators > Climate Warming
• Climate Indicators > Cryospheric Indicators > Sea Ice Concentration
• Cryosphere > Sea Ice
• Cryosphere > Sea Ice > Ice Roughness
• Models > Coupled Climate Models

GCMD Platform Types

• Other > Models > Cesm > Ncar Community Earth System Model

File Media Types

• application/x-netcdf

Support Contact

Alice K. DuVivier
UCAR/NCAR - Climate and Global Dynamics Laboratory
duvivier@ucar.edu

Data Curator

GDEX Curator
UCAR/NCAR - GDEX
gdex@ucar.edu

Credit

This material is based upon work supported by the National Center for Atmospheric Research (NCAR), which is a major facility sponsored by the National Science Foundation (NSF) under Cooperative Agreement 1852977. The CESM project is supported primarily by NSF. Support for the people who performed these simulations was provided by NSF Office of Polar Programs Award #2043588, NSF Integrative Activities Award #1947282, the U.S. Department of Energy, Office of Science, Office of Biological & Environmental Research (BER), Regional and Global Model Analysis (RGMA) component of the Earth and Environmental System Modeling Program under Award Number DE-SC0022070.

Legal Constraints

Creative Commons Attribution 4.0 International License.

Access Constraints

None

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Version History

1.0