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Daily sea ice concentration (1950 - 2050) from models participating in version 6 of the Coupled Model Intercomparison Project is reprojected to the WGS84/NSIDC 25-km North Polar Stereographic grid (EPSG: 3413) using the NOAA/NSIDC Climate Data Record of passive microwave-derived sea ice concentration as the reference dataset and a modified version of the MAVRIC bias correction method described by Melia et al. (2015; DOI: 10.5194/tc-9-2237-2015). Corrections are based on a combination of mean bias for the period 1979-2014 and bias in the detrended standard deviation. The full equation is

SICadj = (SICmod – SICmod.11) * (SDobs.clim / SDmod.clim) + SICmod.11 * (AVGobs.clim / AVGmod.clim)

Where SICadj is the adjusted sea ice concentration from a model on a given day for a given grid cell, SICmod is the original modeled sea ice concentration, SICmod.11 is the 11-year moving average of sea ice concentration, SD is the detrended standard deviation of sea ice concentration for the period 1979-2014 (which is the overlap of the historical experiment and the passive microwave record) for the observations (obs) and model (mod), and AVG is the average sea ice concentration for the period 1979-2014. Corrections are applied separately for each model, grid cell, and day-of-year. The difference between our method and Melia et al. (2015) is that they were working only with models that provided an ensemble of simulations, so they used ensemble means for the climatology and 11-year running mean modeled variables (SICmod.11, SDmod.clim, and AVGmod.clim). Since we could not do this for most models, we chose to only use a single ensemble member from each model.

Following the downscaling procedure, some sea ice concentration values will fall below 0% or over 100%, which is physically unrealistic. Any value below 0% is replaced by 0%, and any value above 100% is replaced by 100%.

Data are stored in decadal files and grouped in zipped folders by model and experiment. Data from purely the historical experiment covers 1950-2009. The future experiment files (a.k.a. "Shared Socioeconomic Pathways" or SSPs) cover 2010-2050. Because of the use of an 11-year moving average, although the historical experiments run through 2014, every year 2010-2014 always must include data from an SSP experiment to maintain a full 11 years of data. Therefore, years from 2010 -2019 are based on the concatenation of the historical experiment along with each SSP experiment.

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Champ Valeur
Dataset Name Bias-corrected CMIP6 Daily Sea Ice Concentration in the Barents and Kara Seas
Dataset General Type Climate Model
Dataset Type Jeu de données
Dataset Level 2-Derived Products
Program Website https://umanitoba.ca/earth-observation-science/julienne-stroeve-project-page
Keyword Vocabulary Polar Data Catalogue
Keyword Vocabulary URL https://www.polardata.ca/pdcinput/public/keywordlibrary
Theme Cryosphere
Dataset Status Terminé
Maintenance and Update Frequency Not planned
Dataset Last Revision Date 2023-08-01
Dataset DOI 10.34992/ven0-e283
Metadata Creation Date 2023
Publisher CanWIN
Champ Valeur
Dataset Collection Start Date 2023-07-10
Dataset Collection End Date 2023-08-01
Spatial regions
Spatial extent West Bound Longitude 0.0
Spatial extent East Bound Longitude 90.0
Spatial extent South Bound Latitude 64.0
Spatial extent North Bound Latitude 80.0
Champ Valeur
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License Name Creative Commons Attribution 4.0 International
Licence Type Open
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Champ Valeur
Dataset Authors
Dataset Authors 1
Titre
Crawford, Alex
Type of Name
Personal
e-mail
alex.crawford@umanitoba.ca
Affiliation
Centre for Earth Observation Science - University of Manitoba
ORCID ID
0000-0003-1561-290X
Contributors
Contributors 1
Titre
Stroeve, Julienne
Rôle
Project Leader
e-mail
julienne.stroeve@umanitoba.ca
Affiliation
Centre for Earth Observation Science - University of Manitoba
ORCID ID
0000-0001-7316-8320
Project Data Curator Crawford, Alex
Project Data Curator email alex.crawford@umanitoba.ca
Project Data Curator Affiliation Centre for Earth Observation Science - University of Manitoba
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Champ Valeur
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