Metadata

Field Value

Dataset Name

NEMO-ANHA4 Sea ice locking of icebergs

Dataset General Type

Model data

Dataset Type

Dataset

Dataset Level

2

Program Website

Keyword Vocabulary

Polar Data Catalogue

Keyword Vocabulary URL

https://www.polardata.ca/pdcinput/public/keywordlibrary

Theme

Title

Marine

URL

https://canwin-datahub.ad.umanitoba.ca/data/group/marine

Dataset Status

Planned

Maintenance and Update Frequency

Not planned

Dataset Last Revision Date

2023-11-07

Dataset DOI

10.34992/mq60-c722

Metadata Creation Date

2023

Publisher

CanWIN

Dataset Authors

Dataset Authors 1

Name

Marson, Juliana

Type of Name

Personal

Email

Juliana.MariniMarson@umanitoba.ca

Affiliation

Centre for Earth Observation Science - University of Manitoba

ORCID ID

0000-0001-5074-7370

ORCID

http://orcid.org/

Contributors

Contributors 1

Name

Role

Email

Affiliation

ORCID ID

Project Data Curator

Marson, Juliana

Project Data Curator email

Juliana.MariniMarson@umanitoba.ca

Project Data Curator Affiliation

Centre for Earth Observation Science - University of Manitoba

Dataset Collection Start Date

2002-01-01

Dataset Collection End Date

2017-12-31

Sample Collection

Sample Collection 1

Sampling Instrument Name

Standardized Sampling Instrument Name

Sample Collection Method Name

Comment

Method Link

Method Summary

Method Description Type

Methods

Activity Collection Type

Preferred citation

Analytical Instrument

Analytical Instrument 1

Analytical Instrument Name

Nucleus for European Modelling of the Ocean (NEMO) v3.6

Standardized Analytical Instrument Name

Analytical Instrument Identifier Id

Analytical Instrument Title Type

Alternative Title

Analytical Instrument Identifier Type

Analytical Method

Analytical Method 1

Analytical Method Name

NEMO - ANHA4 simulations

Method Link

Method Summary

The atmosphere was forced with CGRF (Smith et al., 2014), Greenland solid and liquid discharges with Bamber et al. (2018) dataset, and river runoff with HydroGFD (Stadnyk et al., 2021). Initial and boundary conditions were taken from GLORYS2v3 (Masina et al., 2017). The model was run from 2002 to 2017, and outputs were obtained as 5-day averages (for gridded variables). Iceberg trajectory files were generated daily. The two simulations, SIL and CTL, only differ with respect to how the sea ice force on icebergs is parameterized. CTL follows the traditional drag parameterization present in NEMO-ICB (Marsh et al., 2015), while SIL introduces a new formulation where icebergs are locked in sea ice if the latter reaches a strength (proportional to sea ice concentration and thickness) that is capable of withstanding all the other forces acting on the iceberg without breaking. See Marson et al. (2023/2024) for more details. ### Output files: **1. griddedOutput.nc** Here, you will find variables related to the ocean and sea ice that are outputted in the ANHA4 grid (544 x 800). All variables are placed at T-points (Arakawa-C grid): • lat: latitude of each grid T-point in ANHA4 • lon: longitude of each grid T-point in ANHA4 • SIL_melttracer: vertically-integrated (m) passive tracer linked to iceberg melt by the end (Dec 31 2017) of the SIL simulation. • CTL_melttracer: vertically-integrated (m) passive tracer linked to iceberg melt by the end (Dec 31 2017) of the CTL simulation. • SIL_uovel_winter: U component of ocean velocity averaged between 0-100 m from 2004-2017 for the months of January to March in the SIL simulation. • SIL_vovel_winter: V component of ocean velocity averaged between 0-100 m from 2004-2017 for the months of January to March in the SIL simulation. • SIL_uivel_winter: U component of sea ice velocity averaged from 2004-2017 for the months of January to March in the SIL simulation. • SIL_vivel_winter: V component of sea ice velocity averaged from 2004-2017 for the months of January to March in the SIL simulation. **2. CTL_trajfiles and SIL_trajfiles folders** The folders contain information from each particle (cluster of bergs) and the environmental conditions surrounding them at each simulation day for CTL and SIL runs. Each file contains a single variable, indicated by the filename. You will notice that there are four files for each variable (*_01.nc through *_04.nc). This was done because of the large number or particles generated by simulation (over 34,000). Therefore, the first 3 files have 10,000 particles each, and the fourth file has the remaining 4,025. The variables are matrices of size 5,840 by 10,000 (except for the ones in file *_04.nc, which are 5,840 by 4,025). Each column contains a time series for one particle, and each row represents day of simulation, from January 01, 2002 to December 31, 2017. Therefore, if you wanted to plot the trajectory of the 10th 'calved' particle in CTL, you would plot all the rows of the 10th column of lon_01.nc versus all the rows of the 10th column of lat_01.nc contained in the CTL_trajfiles folder. Notice that the columns are usually padded with NaN's in the first and last rows, when the particle did not exist (was not yet calved or had already melted completely). So, you can calculate how many days a particle has survived by counting the rows with data in them. The variables available for each simulation are: • xi: particle's position in the ANHA4 grid along x • yj: particle's position in the ANHA4 grid along y • lat: particle's latitude • lon: particle's longitude • length, width, thickness: dimensions of icebergs contained in the particle • icnt: sea ice concentration • ithk: sea ice thickness at the particle's position • uvel, vvel: particle velocity components • uta, vta: wind velocity components at the particle's position • uti, vti: sea ice velocity components at the particle's position • uto, vto: ocean velocity components at the particle's position

Laboratory

Comments

Variables Measured

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.

Terms of Use

By accessing this data you agree to [CanWIN's Terms of Use](/data/publication/canwin-data-statement/resource/5b942a87-ef4e-466e-8319-f588844e89c0).

Awards

Awards 1

Award Title

NSERC Discovery

Website

Funder Name

NSERC

Funder Identifier Code

Funder Identifier Type

Funder Identifier Scheme

Grant Number

RGPIN202102921

Related Resources

Related Resources 1

Related Resource Name

Resource Code

Identifier Type

Relationship To This Dataset

Resource Type

Online Resource

Type

Series Name

Publications

Publications 1

Publication Name

Identifier Code

Identifier Type

Relationship to this dataset

Resource Type

Online Resource

Publication Type

Spatial regions

baffin-bay

Spatial extent West Bound Longitude

Spatial extent East Bound Longitude

Spatial extent South Bound Latitude

Spatial extent North Bound Latitude

Data and Resources

Field Value

URL

https://canwinerddap.ad.umanitoba.ca/erddap/files/NEMO_ANHA4_SeaIceLocking_309d_54a5_54cc/

Name

NEMO_ANHA4 simulations

Description

**Sea ice driven iceberg drift in Baffin Bay.** Simulations carried out with NEMO at 1/4 degree resolution over the Arctic and Northern Hemisphere Atlantic (ANHA) domain. SIL differs from CTL only in the parameterization of the sea ice force over icebergs; for CTL it is simply a drag force, in SIL sea ice above 90% concentration is capable of locking icebergs. - Please select the **ERDDAP Server - Individual Files** tab below to see and download individual files. - To download the entire CTL and SIL folders, please click the **ERDDAP Server - Zipped Folders** tab.

Format

Resource Category

data

URL

https://canwin-datahub.ad.umanitoba.ca/data/dataset/06dcb72d-b105-4655-8aab-3c7af6f0e453/resource/5bc299fb-85de-4222-84db-6007bfc44968/download/supplemental-information.pdf

Name

Supplemental Information

Description

Information about the **structure of the data files**, **variables** in each file and **model initialization**.

Format

PDF

Resource Category

supplemental