CESM2 SMOOTH experiments
d583139
<p>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.</p>
dataset
https://gdex.ucar.edu/datasets/d583139/
protocol: https
name: Dataset Description
description: Related Link
function: information
https://gdex.ucar.edu/datasets/d583139/dataaccess/
protocol: https
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2021-03-30
CLIMATE MODELS > CLIMATE MODELS
revision
2025-10-03
EARTH SCIENCE > ATMOSPHERE > ALTITUDE > GEOPOTENTIAL HEIGHT
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC RADIATION > SOLAR IRRADIANCE
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > U/V WIND COMPONENTS
EARTH SCIENCE > CRYOSPHERE > SEA ICE > HEAT FLUX > LATENT HEAT FLUX
EARTH SCIENCE > CRYOSPHERE > SEA ICE > HEAT FLUX > SENSIBLE HEAT FLUX
revision
2025-10-03
publication
2023-08-29
notPlanned
Creative Commons Attribution 4.0 International License
None
pointOfContact
NSF NCAR Geoscience Data Exchange
name: NSF NCAR Geoscience Data Exchange
description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.
function: download
pointOfContact
2025-10-09T01:45:41Z