The data is modelled oceanographic, sea-ice, and biogeochemical variables run with two CMIP5 climate forcings, MRI and MIROC5. The data is within four files. Two gridT files that hold the physical oceanographic and biogeochemical outputs from NEMO 3.6 and BLINGv0+DIC and two icemod files that hold the sea-ice variables calculated with LIM2.

Data and Resources

Data

Supplemental

Metadata

Field Value
Dataset Name Canadian Arctic 2018 gridT and icemod NEMO 3.6, LIM2 and BLINGv0+DIC data
Dataset General Type model outputs
Dataset Type Model
Dataset Level 0-Raw data
Program Website https://canwin-datahub.ad.umanitoba.ca/data/dataset/baysys
Keyword Vocabulary Polar Data Catalogue
Keyword Vocabulary URL https://www.polardata.ca/pdcinput/public/keywordlibrary
Theme Marine
Dataset Status Complete
Maintenance and Update Frequency Not planned
Dataset Last Revision Date 2020-01-01
Dataset DOI 10.34992/ehtt-fb57
Metadata Creation Date 2023
Publisher CanWIN
Field Value
Dataset Collection Start Date 2018-01-01
Dataset Collection End Date 2020-01-01
Spatial regions Hudson Bay
Spatial extent West Bound Longitude
Spatial extent East Bound Longitude
Spatial extent South Bound Latitude
Spatial extent North Bound Latitude
Field Value
Sample Collection
Sample Collection 1
Sampling Instrument Name
Standardized Sampling Instrument Name
Sample Collection Method Name
Comment
Method Link
Method Summary
Activity Collection Type
Preferred citation
Analytical Instrument
Analytical Instrument 1
Analytical Instrument Name
Ocean model
Standardized Analytical Instrument Name
Analytical Instrument Identifier Id
Analytical Instrument Identifier Type
Analytical Method
Analytical Method 1
Analytical Method Name
Ocean modelling
Method Link
Method Summary

The NEOM 3.6, LIM2 and BLINGv0+DIC coupled models were run on the then ComputeCanada (now Digital Research Alliance) allowances.

Laboratory
Comments
Variables Measured
Field Value
License Name Creative Commons Attribution 4.0 International
Licence Type Open
Embargo Date
Licence URL https://spdx.org/licenses
Terms of Access

CanWIN datasets are licensed individually, however most are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) Public License. Details for the licence applied can be found using the Licence URL link provided with each dataset. By using data and information provided on this site you accept the terms and conditions of the License. Unless otherwise specified, the license grants the rights to the public to use and share the data and results derived therefrom as long as the proper acknowledgment is given to the data licensor (citation), that any alteration to the data is clearly indicated, and that a link to the original data and the license is made available.

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Field Value
Dataset Authors
Dataset Authors 1
Name
Myers, Paul G.
Type of Name
Personal
Email
pmyers@ualberta.ca
Affiliation
Centre for Earth Observation Science - University of Manitoba
ORCID ID
0000-0003-4514-2654
Dataset Authors 2
Name
Deschepper, Inge
Type of Name
Personal
Email
inge.deschepper.1@ulaval.ca
Affiliation
Université Laval
ORCID ID
0000-0001-7910-3579
Contributors
Contributors 1
Name
Role
Email
Affiliation
ORCID ID
Project Data Curator Deschepper, Inge
Project Data Curator email inge.deschepper.1@ulaval.ca
Project Data Curator Affiliation Université Laval
Awards
Awards 1
Award Title
The Natural Sciences and Engineering Council of Canada (NSERC) Collaborative Research and Development project
Website
Funder Name
NSERC
Funder Identifier Code
Funder Identifier Type
Funder Identifier Scheme
Grant Number
CRDPJ47002814
Awards 2
Award Title
Computational allocation
Website
https://alliancecan.ca/en
Funder Name
Digital Research Alliance of Canada
Funder Identifier Code
Funder Identifier Type
Funder Identifier Scheme
Grant Number
20224188
Field Value
Related Resources
Related Resources 1
Related Resource Name
Resource Code
Identifier Type
Relationship To This Dataset
Resource Type
Online Resource
Type
Series Name
Field Value
Publications
Publications 1
Publication Name
Identifier Code
Identifier Type
Relationship to this dataset
Resource Type
Online Resource
Publication Type