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Dataset

 

ACSIS: Global ocean-ice sea ice simulations CICEv5.1.2 with prognostic melt pond model and EAP rheology with modifications including snow drift scheme, bubbly conductivity scheme, increased sea ice emissivity and reduced melt pond max fraction parameter with DFS5.2 atmospheric forcing data from 1960 - 2015

Update Frequency: Not Planned
Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2022-05-26
Download Stats: last 12 months

Abstract

This dataset includes model output from a forced ocean-ice simulation to document the impact of sea ice physics and atmospheric forcing data on the Arctic sea ice evolution produced for the The North Atlantic Climate System Integrated Study (ACSIS). This simulation uses the same sea ice model CICE configuration GSI8.1 (Ridley et al., 2018) and the ocean-ice ones the same ocean model NEMO GO6.0 (Storkey et al., 2018) as HadGEM3. The atmospheric forcing data set are applied: DFS5.2 (Dussin et al., 2016). Regarding the sea ice component, we use the default CICE setup as in HadGEM3 (CICE-default) and an advanced setup (CICE-best) in which a new process is added (snow loss due to drifting snow) and some adjustments have been made to model physics and parameters.

The specific parameters for this dataset are:
sea ice model: CICEv5.1.2 with prognostic melt pond model and EAP rheology, but with several modifications including snow drift scheme, bubbly conductivity scheme, increased sea ice emissivity and reduced melt pond max fraction parameter (see Schroeder et al., TC 2019)
ocean model: NEMOv3.6
period: 1960-2015
atmospheric forcing: DFS5.2 (Drakkar)
domain: global
grid resolution: 1deg ORCA

The simulation was performed by the Centre of Polar Observation and Modelling (CPOM) at University of Reading under the ACSIS project. ACSIS was funded by the Natural Environment Research Council (NERC) through National Capability Long Term Science Multiple Centre (NC LTS-M) grant NE/N018028/1.

Citable as:  Schroeder, D.; Feltham, D. (2022): ACSIS: Global ocean-ice sea ice simulations CICEv5.1.2 with prognostic melt pond model and EAP rheology with modifications including snow drift scheme, bubbly conductivity scheme, increased sea ice emissivity and reduced melt pond max fraction parameter with DFS5.2 atmospheric forcing data from 1960 - 2015. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/2a925024e89449eab009e1b32e925c38
Abbreviation: Not defined
Keywords: NEMO, CICE, ocean-ice, sea-ice, DFS5.2

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data were produced by the project team and uploaded to CEDA

Data Quality:
No quality checks have been performed by CEDA
File Format:
Files are NETCDF formatted

Related Documents

No documents related to this record were found.

Process overview

This dataset was generated by the computation detailed below.
Title Computation for Global ocean-ice and pan-Arctic sea ice simulations with different sea ice physics and atmospheric forcing data sets
Abstract 6 forced ocean-ice simulations and 2 stand-alone ice simulations to document the impact of sea ice physics and\ \ atmospheric forcing data on the Arctic sea ice evolution. All of them use the\ \ same sea ice model CICE configuration GSI8.1 (Ridley et al., 2018) and the ocean-ice\ \ ones the same ocean model NEMO GO6.0 (Storkey et al., 2018) as HadGEM3. Three\ \ different atmospheric forcing data set are applied: NCEP Reanalysis-2 (NCEP2)\ \ data (Kanamitsu et al., 2002, updated 2020), CORE II surface data (Large & Yeager,\ \ 2009) and the atmospheric forcing data set DFS5.2 (Dussin et al., 2016). Regarding\ \ the sea ice component, we use the default CICE setup as in HadGEM3 (CICE-default)\ \ and an advanced setup (CICE-best) in which a new process is added (snow loss due\ \ to drifting snow) and some adjustments have been made to model physics and parameters.\ \ \n\nThe simulations were performed by the Centre of Polar Observation and Modelling\ \ (CPOM) at University of Reading under the ACSIS project
Input Description None
Output Description None
Software Reference None

No variables found.

Coverage
Temporal Range
Start time:
1960-01-01T00:00:00
End time:
2015-12-31T00:00:00
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°