Date (Creation)

2025-04-07

Date (Revision)

2025-04-07

Date (Publication)

2025-04-07

Date (released)

2025-04-07

Edition

1.0

Unique resource identifier

https://doi.org/10.5285/8738b3cb-52c7-4b36-aa6d-6e15c0b46ba4

Codespace

doi

Unique resource identifier

GB/NERC/BAS/PDC/02040

Codespace

https://data.bas.ac.uk/

Unique resource identifier

EP/Y028880/1

Codespace

award

Other citation details

Please cite this item as: Bowler, E., Byrne, J., Leclerc, L., Roberto-Charron, A., Rogers, M., Cavanagh, R., Harasimo, J., Lancaster, M., Chan, R., Strickson, O., Wilkinson, J., Downie, R., Hosking, J., & Andersson, T. (2025). Pan-Arctic 93-day sea ice concentration forecasts from the IceNet model and mappings between sea ice concentration and Dolphin and Union caribou sea ice crossing-start times (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/8738b3cb-52c7-4b36-aa6d-6e15c0b46ba4

Credit

No credit.

Status

Completed

Point of contact

Organisation name	Individual name	Electronic mail address	Role
British Antarctic Survey	Bowler, Ellen		Author
British Antarctic Survey	Byrne, James		Author
Government of Nunavut	Leclerc, Lisa-Marie		Author
Government of Nunavut	Roberto-Charron, Amelie		Author
British Antarctic Survey	Rogers, Martin		Author
British Antarctic Survey	Cavanagh, Rachel		Author
WWF-UK	Harasimo, Jason		Author
WWF-UK	Lancaster, Melanie		Author
The Alan Turing Institute	Chan, Ryan		Author
The Alan Turing Institute	Strickson, Oliver		Author
British Antarctic Survey	Wilkinson, Jeremy		Author
WWF-UK	Downie, Rod		Author
British Antarctic Survey	Hosking, J Scott		Author
British Antarctic Survey	Andersson, Tom		Author
NERC EDS UK Polar Data Centre		PDCServiceDesk@bas.ac.uk	Point of contact

Maintenance and update frequency

As needed

Maintenance note

Completed

Global Change Master Directory (GCMD) Science Keywords

• EARTH SCIENCE > Cryosphere > Sea Ice > Ice Extent
• EARTH SCIENCE > Cryosphere > Sea Ice > Ice Growth/Melt
• EARTH SCIENCE > Cryosphere > Sea Ice > Sea Ice Concentration
• EARTH SCIENCE > Oceans > Sea Ice > Ice Extent
• EARTH SCIENCE > Oceans > Sea Ice > Ice Growth/Melt
• EARTH SCIENCE > Oceans > Sea Ice > Sea Ice Concentration
• EARTH SCIENCE > Cryosphere > Sea Ice
• EARTH SCIENCE > Oceans > Sea Ice

Theme

• Coranation Gulf

• Northwest Passage

• caribou

• forecast

• migration

• sea ice

Place

• Victoria Island, Nunavut, Canada Arctic

GEMET - INSPIRE themes, version 1.0

• Oceanographic geographical features

Access constraints

Other restrictions

Other constraints

no limitations to public access

Access constraints

Other restrictions

Other constraints

no limitations

Use constraints

License

Other constraints

Open Government Licence v3.0

Use constraints

Other restrictions

Other constraints

Data supplied under Open Government Licence v3.0

Use constraints

Other restrictions

Other constraints

No restrictions apply.

Unique resource identifier

url

Codespace

url

Association Type

Cross reference

Unique resource identifier

url

Codespace

url

Association Type

Larger work citation

Unique resource identifier

url

Codespace

url

Association Type

Larger work citation

Unique resource identifier

url

Codespace

url

Association Type

Larger work citation

Unique resource identifier

url

Codespace

url

Association Type

dependency

Unique resource identifier

url

Codespace

url

Association Type

dependency

Unique resource identifier

url

Codespace

url

Association Type

dependency

Spatial representation type

Text, table

Language

English

Character set

UTF8

Topic category

• Imagery base maps earth cover
• Inland waters
• Oceans

Begin date

2020-07-01

End date

2020-12-12

Supplemental Information

It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk.

Title

European Petroleum Survey Group (EPSG) Geodetic Parameter Registry

Date (Publication)

2008-11-12

Cited responsible party

Organisation name	Individual name	Electronic mail address	Role
European Petroleum Survey Group		EPSGadministrator@iogp.org	Publisher

Unique resource identifier

urn:ogc:def:crs:EPSG::3031

Version

6.18.3

Hierarchy level

Dataset

Statement

Methodology:

The IceNet model used in this dataset is an ensemble of 10 individual U-Net deep learning models, whose forecasts are averaged to compute the ensemble mean. IceNet's daily inputs comprise sea ice concentration (SIC), 11 climate variables, statistical SIC forecasts, and metadata. IceNet is trained to forecast the next 93 days of daily SIC maps at 25 km resolution. IceNet's training data comprises climate simulations covering 1850-2100 and observational (reanalysis and satellite) data from 1979-2015. Observational data from 2015-2019 was used to validate the model during training, and 2020-2022 was used as the test set. The IceNet forecasts for the 2020-2022 test date ranges are provided in netCDF format. The final model weights used to generate the test forecasts are provided as Tensorflow neural network files (HDF5). We use held-out data from 2015-2022 to compare IceNet's forecasting skill to a dynamical model (ECMWF SEAS5). These results are provided in a summary CSV file.

Satellite telemetry records from collared caribou were analysed alongside SIC satellite data products to generate caribou/SIC relationships. Satellite telemetry data is held by the Government of Nunavut and is not openly available. Here we present an overview of the analysis and primary results generated, removing specifics relating to the telemetry dataset where required. Caribou sea ice crossing-start points were defined by creating an outline of Victoria Island and assessing when and where each caribou left the island and began travelling over sea ice. This Victoria Island coastline is given as a Shapefile, and was derived from OpenStreetMap data. SIC values at crossing-start points were extracted from the Ocean and Sea Ice Satellite Application Facility (OSI-SAF) and the Advanced Microwave Scanning Radiometer 2 (AMSR2) passive microwave satellite records, provided as CSV files. These OSI-SAF and AMSR2 SIC records were used to produce a mapping between a SIC threshold and the percent of collared caribou which had migrated before that SIC threshold. These sic/percent-migrated mappings are provided as CSV files, and can be used to convert IceNet forecasts to expected caribou sea ice crossing-start dates. The full process for generating these sets of results are described in detail in the Methods section and supplementary material of the associated paper. The GitHub repository also contains code associated with the analysis.

Data collection:

IceNet forecasts were generated using the Python library icenet v0.2.6 and can be recreated with icenet-pipeline and icenet@v0.2.x. Results in the analysis were generated in Python v3.9 using the libraries listed in https://github.com/EllieBowler/icenet-caribou-paper.

Data quality:

IceNet makes predictions based on ERA5 reanalysis data and OSI-SAF SIC data - for information on their errors see their associated documentation. IceNet's SIC values were set to zero over a land mask.

Metadata

File identifier

8738b3cb-52c7-4b36-aa6d-6e15c0b46ba4 XML

Metadata language

English

Character set

UTF8

Hierarchy level

Dataset

Hierarchy level name

dataset

Date stamp

2025-04-07

Metadata standard name

ISO 19115 Geographic Information - Metadata

Metadata standard version

ISO 19115:2003(E)

Metadata author

Organisation name	Individual name	Electronic mail address	Role
NERC EDS UK Polar Data Centre		polardatacentre@bas.ac.uk	Point of contact