Nansen Environmental and Remote Sensing Center | Natural sciences

Arctic Ocean and Sea-ice Reanalysis from TOPAZ4 (1991-2018)

A data-assimilative reanalyses of ocean and sea ice in the Arctic are composed of 3D daily and monthly mean fields of temperature, salinity, sea surface height, zonal velocity, meridional velocity, sea ice concentration, sea ice thickness and sea ice velocity. It was generated from TOPAZ4 which is driven by the forcing of ERA-Interim reanalysis during the years of 1991-2018. The files named as TP4a_002-003_daily_yyyy.tgz in which the daily state using netCDF format covers the Arctic ocean (>58N) by the grids with a spatial resolution of 12.5x12.5 km and 40 levels on vertical (0, 2, 4, 6, 10, 15, 20, 25, 30, 40, 50, 60, 70, 80, 90, 100, 125, 150, 175, 200, 250, 300, 350, 400, 450, 500, 600, 700, 800, 900, 1000, 1200, 1400, 1600, 1800, 2000, 2500, 3000, 3500, 4000).

TOPAZ4 is a coupled ocean and sea ice data assimilation system for the North Atlantic and the Arctic that is based on the HYCOM ocean model and the ensemble Kalman filter data assimilation method using 100 dynamical members. The native ocean model uses 28 hybrid z-isopycnal layers, and the top layer has a minimum thickness of 3 m. The horizontal resolution in the model is 12–16 km, which is eddy permitting from the Equator to the Nordic Seas but is still far from being eddy resolving in the Arctic. The concerned daily outputs on the model native grids are also included in this dataset whose name takes the format of TP4DAILY_yyyy.tar.gz. These daily files are binary format with the suffix .a. The .b files are ACSII and list the related fields in the concerned .a files. The matlab script of loada.m is a function how to load one field from the input .a file, which needs the supports from the model grid information from reginal.*.?.

Jiping XieDOI : 10.11582/2022.00043License: Creative Commons Attribution 4.0
2.7 TBBiota
Climate science

Descriptive

Field

Value

Theme

Subjects

Type

dataset

Language

English

Status

COMPLETE

Projects

  • nn2993k
  • nn9481k
  • Copernicus ARC MFC

Dataset Size (MB)

2670380.970182

State

active

Last Modified

2025-11-11T16:34:27

Identifiers

Field

Value

Identifier

385a8ca7-42d6-4abc-8075-c8a2dcd74848

Other Identifier/DOI

10.11582/2022.00043

Personnel (first name, last name, organisation, email)

Field

Value

Contact points

Contact point 1

Type

person

First name

Jiping

Last name

Xie

Organisation

Nansen Environmental and Remote Sensing Center

Email

jiping.xie@nersc.no

ORCID

Name

Acronym

Contact email

Homepage URL

ROR

Creators

Creator 1

Type

person

First name

Jiping

Last name

Xie

Organisation

Nansen Environmental and Remote Sensing Center

Email

jiping.xie@nersc.no

ORCID

Name

Acronym

Contact email

Homepage URL

ROR

Contributors

Contributor 1

First name

Jiping

Last name

Xie

Organisation

Nansen Environmental and Remote Sensing Center

Email

jiping.xie@nersc.no

ORCID

Type

Related Person

Dataset owner

Publisher

NIRD RDA

Constraints

Field

Value

License

CC-BY-4.0

Access Rights

public

Extent

Field

Value

Spatial

Temporal

Reference Dates

Field

Value

Release date

2022-09-29

Related URLs

Field

Value

Related Resources

Versioning Info

Field

Value

Version

1

Version notes

First version of the dataset.

Has Version

Is version of

Version type

latest