Nansen Environmental and Remote Sensing Center | Natural sciences

NorCPM ensemble hindcasts

We use a reanalysis and hindcast dataset from NorCPM, which combines the Norwegian Earth system model (Bentsen et al. 2013) and an ensemble Kalman filter (Evensen 2003). This system version is comparable to the one providing operational forecast, namely, it assimilates sea-surface temperature and hydrographic profiles (temperature and salinity) using 60 members and strongly coupled data assimilation between the ocean and sea ice component (Bethke et al. 2021) - meaning that the ocean data correct also the sea ice component. We perform anomaly assimilation, meaning that the climatological monthly mean of the observations and the model are removed before comparing the two. The monthly climatology is constructed from the 60-member historical ensemble run (without assimilation) over the period 1982--2010. For the hydrographic profiles, it is constructed from EN4 objective analysis (Good et al. 2013). Only the ocean and sea ice are directly updated by the data assimilation. The other components of the model (atmosphere, land) are adjusting dynamically through the coupling in between the monthly assimilation steps. The initial ensemble at the start of the reanalysis in 1980 is constructed by selecting 60 random initial conditions from a stable pre-industrial simulation and integrating the ensemble from 1850 to 1980 using historical forcings from the Coupled Model Intercomparison Project version 5 (Taylor et al. 2012). The seasonal hindcasts start on the 15th January, April, July, and October each year from 1985--2010, i.e., in total 104 hindcasts (26 years with four hindcasts per year). Each hindcast runs 60 realizations (ensemble members) for 13 months, initialized from the corresponding member in the reanalysis. Data is organized with a separate folder for each hindcast start date. There is a file for each member.

Nansen Environmental and Remote Sensing CenterDOI : 10.11582/2023.00045License: Creative Commons Attribution 4.0
13.3 GBBiota
Climate science

Descriptive

Field

Value

Theme

Subjects

Type

dataset

Language

English

Status

COMPLETE

Projects

    Dataset Size (MB)

    13336.869824

    State

    active

    Last Modified

    2025-07-25T11:04:38

    Identifiers

    Field

    Value

    Identifier

    d3a4599d-9057-4ec1-ac28-290470a7f7f7

    Other Identifier/DOI

    10.11582/2023.00045

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

    Field

    Value

    Contact points

    Contact point 1

    Type

    person

    First name

    Julien

    Last name

    Brajard

    Organisation

    Nansen Environmental and Remote Sensing Center

    Email

    julien.brajard@nersc.no

    ORCID

    Name

    Acronym

    Contact email

    Homepage URL

    ROR

    Creators

    Creator 1

    Type

    organisation

    First name

    Last name

    Organisation

    Email

    ORCID

    Name

    Nansen Environmental and Remote Sensing Center

    Acronym

    Contact email

    post@nersc.no

    Homepage URL

    ROR

    Contributors

    Contributor 1

    First name

    Julien

    Last name

    Brajard

    Organisation

    Nansen Environmental and Remote Sensing Center

    Email

    julien.brajard@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

    2023-07-13

    Related URLs

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    Value

    Related Resources

    Versioning Info

    Field

    Value

    Version

    1

    Version notes

    First version of the dataset.

    Has Version

    Is version of

    Version type

    latest