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Dataset

 

ACSIS: Pan-Arctic 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 NCEP Reanalysis-2 atmospheric forcing data from 1980 - 2020

Update Frequency: Not Planned
Latest Data Update: 2022-05-17
Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2022-05-26
Download Stats: last 12 months
Dataset Size: 496 Files | 5GB

Abstract

This dataset includes model output from a stand-alone 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 uses the same sea ice model CICE configuration GSI8.1 (Ridley et al., 2018) with an atmospheric forcing data set are applied: NCEP Reanalysis-2 (NCEP2) data (Kanamitsu et al., 2002, updated 2020). 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: mixed-layer
period: 1980-2020
atmospheric forcing: NCEP2
domain: pan-Arctic
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: Pan-Arctic 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 NCEP Reanalysis-2 atmospheric forcing data from 1980 - 2020. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/888a2e5b9177455586127b48031461a6
Abbreviation: Not defined
Keywords: NEMO, CICE, ocean-ice, sea-ice, NCEP2

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:
Data 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

  • units: none
  • long_name: Ca: total ice-atm drag coefficient
  • var_id: Cdn_atm_m
  • units: none
  • long_name: Cdn_atm_floe: neutral floe edge ice-atm drag coefficien
  • var_id: Cdn_atm_floe_m
  • units: none
  • long_name: Cdn_atm_pond: neutral pond edge ice-atm drag coefficien
  • var_id: Cdn_atm_pond_m
  • units: none
  • long_name: Cdn_atm_ratio: ratio total drag / neutral drag (atm)
  • var_id: Cdn_atm_ratio_m
  • units: none
  • long_name: Cdn_atm_rdg: neutral ridge ice-atm drag coefficient
  • var_id: Cdn_atm_rdg_m
  • units: none
  • long_name: Cdn_atm_skin: neutral skin ice-atm drag coefficient
  • var_id: Cdn_atm_skin_m
  • units: none
  • long_name: Cdn_ocn: total ice-ocn drag coefficient
  • var_id: Cdn_ocn_m
  • units: none
  • long_name: Cdn_ocn_floe: neutral floe edge ice-ocn drag coefficien
  • var_id: Cdn_ocn_floe_m
  • units: none
  • long_name: Cdn_ocn_keel: neutral keel ice-ocn drag coefficient
  • var_id: Cdn_ocn_keel_m
  • units: none
  • long_name: Cdn_ocn_skin: neutral skin ice-ocn drag coefficient
  • var_id: Cdn_ocn_skin_m
  • units: W/m^2
  • long_name: SW flux thru ice to ocean
  • var_id: fswthru_ai_m
  • units: degrees_north
  • long_name: T grid center latitude
  • var_id: TLAT
  • units: degrees_east
  • long_name: T grid center longitude
  • var_id: TLON
  • units: degrees_north
  • long_name: U grid center latitude
  • var_id: ULAT
  • units: degrees_east
  • long_name: U grid center longitude
  • var_id: ULON
  • units: C
  • long_name: air temperature
  • var_id: Tair_m
  • units: radians
  • long_name: angle grid makes with latitude line on T grid
  • var_id: ANGLET
  • units: radians
  • long_name: angle grid makes with latitude line on U grid
  • var_id: ANGLE
  • units: m^2
  • var_id: tarea
  • long_name: area of T grid cells
  • units: m^2
  • long_name: area of U grid cells
  • var_id: uarea
  • units: %/day
  • long_name: area tendency dynamics
  • var_id: daidtd_m
  • units: %/day
  • long_name: area tendency thermo
  • var_id: daidtt_m
  • units: m/s
  • long_name: atm velocity (x)
  • var_id: uatm_m
  • units: m/s
  • long_name: atm velocity (y)
  • var_id: vatm_m
  • units: N/m^2
  • long_name: atm/ice stress (x)
  • var_id: strairx_m
  • units: N/m^2
  • long_name: atm/ice stress (y)
  • var_id: strairy_m
  • units: %
  • long_name: bare ice albedo
  • var_id: albice_m
  • units: cm/day
  • long_name: basal ice melt
  • var_id: meltb_m
  • var_id: time_bounds
  • long_name: boundaries for time-averaging interval
  • units: ppt
  • long_name: bulk ice salinity
  • var_id: sice_m
  • units: m
  • long_name: category maximum thickness
  • var_id: NCAT
  • units: N/m
  • long_name: compressive ice strength
  • var_id: strength_m
  • units: cm/day
  • long_name: congelation ice growth
  • var_id: congel_m
  • units: m
  • long_name: dfloe: distance between floes
  • var_id: dfloe_m
  • units: m
  • long_name: distrdg: distance between ridges
  • var_id: distrdg_m
  • units: m
  • long_name: dkeel: distance between keels
  • var_id: dkeel_m
  • units: W/m^2
  • long_name: down longwave flux
  • var_id: flwdn_m
  • units: W/m^2
  • long_name: down solar flux
  • var_id: fswdn_m
  • units: 1
  • long_name: effective melt pond fraction, category
  • var_id: apeffn_m
  • units: cm/day
  • long_name: evaporative water flux
  • var_id: evap_ai_m
  • long_name: first-year ice area
  • var_id: FYarea_m
  • units:
  • units: 1
  • long_name: fraction of time-avg interval that ice is present
  • var_id: ice_present_m
  • units: cm/day
  • long_name: frazil ice growth
  • var_id: frazil_m
  • units: day of year
  • long_name: freeze onset date
  • var_id: frz_onset_m
  • units: W/m^2
  • long_name: freeze/melt potential
  • var_id: frzmlt_m
  • units: cm/day
  • long_name: freshwtr flx ice to ocn
  • var_id: fresh_ai_m
  • units: m
  • long_name: grid cell mean ice thickness
  • var_id: hi_m
  • units: m
  • long_name: grid cell mean snow thickness
  • var_id: hs_m
  • units: m
  • long_name: hdraft: draught
  • var_id: hdraft_m
  • units: W/m^2
  • long_name: heat flux ice to ocean
  • var_id: fhocn_ai_m
  • units: m
  • long_name: hfreebd: freeboard
  • var_id: hfreebd_m
  • units: m
  • long_name: hkeel: keel depth
  • var_id: hkeel_m
  • units: m
  • long_name: hridge: ridge height
  • var_id: hridge_m
  • units: 1
  • long_name: ice area (aggregate)
  • var_id: aice_m
  • units: %/day
  • long_name: ice area ridging rate
  • var_id: dardg1dt_m
  • units: %/day
  • long_name: ice area ridging rate, category
  • var_id: dardg1ndt_m
  • units: 1
  • long_name: ice area, categories
  • var_id: aicen_m
  • long_name: ice grid block mask
  • var_id: blkmask
  • units: m/s
  • long_name: ice velocity (x)
  • var_id: uvel_m
  • units: m/s
  • long_name: ice velocity (y)
  • var_id: vvel_m
  • units: cm/day
  • long_name: ice volume ridging rate
  • var_id: dvirdgdt_m
  • units: cm/day
  • long_name: ice volume ridging rate, category
  • var_id: dvirdgndt_m
  • units: m
  • long_name: ice volume, categories
  • var_id: vicen_m
  • units: N/m^2
  • long_name: internal ice stress (x)
  • var_id: strintx_m
  • units: N/m^2
  • long_name: internal ice stress (y)
  • var_id: strinty_m
  • units: N/m^2
  • long_name: internal stress tensor trace
  • var_id: trsig_m
  • units: W/m^2
  • long_name: latent heat flux
  • var_id: flat_ai_m
  • units: cm/day
  • long_name: lateral ice melt
  • var_id: meltl_m
  • units: %/day
  • long_name: lead area opening rate
  • var_id: opening_m
  • units: 1
  • long_name: level ice area fraction
  • var_id: alvl_m
  • units: m
  • long_name: level ice volume
  • var_id: vlvl_m
  • units: m
  • long_name: lfloe: floe length
  • var_id: lfloe_m
  • units: m
  • long_name: mean melt pond depth over grid cell
  • var_id: hpond_ai_m
  • units: m
  • long_name: mean melt pond depth over sea ice
  • var_id: hpond_m
  • units: m
  • long_name: mean pond ice thickness over grid cell
  • var_id: ipond_ai_m
  • units: m
  • long_name: mean pond ice thickness over sea ice
  • var_id: ipond_m
  • units: day of year
  • long_name: melt onset date
  • var_id: mlt_onset_m
  • units: %
  • long_name: melt pond albedo
  • var_id: albpnd_m
  • units: m
  • long_name: melt pond depth, category
  • var_id: hpondn_m
  • units: 1
  • long_name: melt pond fraction of grid cell
  • var_id: apond_ai_m
  • units: 1
  • long_name: melt pond fraction of sea ice
  • var_id: apond_m
  • units: 1
  • long_name: melt pond fraction, category
  • var_id: apondn_m
  • var_id: time
  • long_name: model time
  • units: 1
  • long_name: norm. principal stress 1
  • var_id: sig1_m
  • units: 1
  • long_name: norm. principal stress 2
  • var_id: sig2_m
  • units: m/s
  • long_name: ocean current (x)
  • var_id: uocn_m
  • units: m/s
  • long_name: ocean current (y)
  • var_id: vocn_m
  • long_name: ocean grid mask
  • var_id: tmask
  • units: N/m^2
  • long_name: ocean/ice stress (x)
  • var_id: strocnx_m
  • units: N/m^2
  • long_name: ocean/ice stress (y)
  • var_id: strocny_m
  • units: 1
  • long_name: radiation-effective pond area fraction of sea ice
  • var_id: apeff_m
  • units: 1
  • long_name: radiation-effective pond area fraction over grid cell
  • var_id: apeff_ai_m
  • units: 1
  • long_name: rafted ice area fraction, category
  • var_id: araftn_m
  • units: 1
  • long_name: rafted ice volume, category
  • var_id: vraftn_m
  • long_name: rainfall rate
  • units: cm/day
  • var_id: rain_ai_m
  • units: %/day
  • long_name: ridge area formation rate
  • var_id: dardg2dt_m
  • units: %/day
  • long_name: ridge area formation rate, category
  • var_id: dardg2ndt_m
  • units: 1
  • long_name: ridged ice area fraction
  • var_id: ardg_m
  • units: 1
  • long_name: ridged ice area fraction, category
  • var_id: ardgn_m
  • units: m
  • long_name: ridged ice volume
  • var_id: vrdg_m
  • units: m
  • long_name: ridged ice volume, category
  • var_id: vrdgn_m
  • units: 1
  • long_name: ridging ice area redistribution function, category
  • var_id: aredistn_m
  • units: 1
  • long_name: ridging ice participation function, category
  • var_id: aparticn_m
  • units: 1
  • long_name: ridging ice volume redistribution function, category
  • var_id: vredistn_m
  • units: 1
  • long_name: ridging thickness factor, category
  • var_id: krdgn_m
  • long_name: salt flux ice to ocean
  • units: kg/m^2/s
  • var_id: fsalt_ai_m
  • units: years
  • long_name: sea ice age
  • var_id: iage_m
  • units: ppt
  • long_name: sea surface salinity
  • var_id: sss_m
  • units: C
  • long_name: sea surface temperature
  • var_id: sst_m
  • units: W/m^2
  • long_name: sensible heat flux
  • var_id: fsens_ai_m
  • units: 1
  • long_name: shortwave scaling factor
  • var_id: fswfac_m
  • units: %
  • long_name: snow albedo
  • var_id: albsno_m
  • units: cm/day
  • long_name: snow-ice formation
  • var_id: snoice_m
  • units: %
  • long_name: snow/ice broad band albedo
  • var_id: albsni_m
  • units: C
  • long_name: snow/ice surface temperature
  • var_id: Tsfc_m
  • units: W/m^2
  • long_name: snow/ice/ocn absorbed solar flux
  • var_id: fswabs_ai_m
  • units: cm/day
  • long_name: snowfall rate
  • var_id: snow_ai_m
  • units: %/day
  • long_name: strain rate (divergence)
  • var_id: divu_m
  • units: %/day
  • long_name: strain rate (shear)
  • var_id: shear_m
  • units: cm/day
  • long_name: top ice melt
  • var_id: meltt_m
  • units: cm/day
  • long_name: top snow melt
  • var_id: melts_m
  • units: W/m^2
  • long_name: upward longwave flux
  • var_id: flwup_ai_m
  • units: cm/day
  • long_name: volume tendency dynamics
  • var_id: dvidtd_m
  • units: cm/day
  • long_name: volume tendency thermo
  • var_id: dvidtt_m

Co-ordinate Variables