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Idealised climate model simulations for the Iceland-Greenland Sea's Project (IGP)

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Preview
Publication Date:


This dataset contains output from UK Met Office Unified Model (MetUM) simulations of the atmosphere over the NE North Atlantic region for the Iceland Greenland Sea's Project (

The data contains 7 model fields:
Temperature - 1.5m Surface Temperature output from the model simulations.
Latent HF - Latent Heat Flux output from the model simulations.
Sensible HF - Sensible Heat Flux output from the model simulations.
Relative Humidity - Relative Humidity output from the model simulations.
Specific Humidity - Specific Humidity output from the model simulations.
Surface Winds - 10 m U and V wind component output from the model simulations.
MSLP - Mean Sea Level Pressure output from the model simulations.

Four simulations were produced, three using different annually-repeating daily SST and sea-ice lower boundary conditions and a baseline simulation using time varying lower boundary conditions:

u_au087 - Time varying lower boundary conditions for the years 1990/91 to 2009/10.
u_au976– Lower boundary conditions taken from the winter with the largest winter-mean sea-ice extent, namely 1987/88.
u_au981 - Lower boundary conditions taken from the winter with the median winter-mean sea-ice extent, namely 2003/04.
u_au987 - Lower boundary conditions taken from the winter with the smallest winter-mean sea-ice extent, namely 2015/16.

The largest, smallest and median winter sea-ice extents were determined for the Iceland and Greenland Seas region by comparing annual January-April anomalies from the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) dataset to the 1979-2016 mean.

Each NetCDF file represents the raw model data for January to April of the years specified. Year chunks available are:
9195 - 1991-1995
0600 - 1996-2000
0105 - 2001-2005
0610 - 2006-2010.
9110 - 1991-2010. These are the main files used in the assessment of the model simulations. They were built by combining the four smaller time periods.

Further model outputs are available on request, they are archived on the MASS service at the UK Met Office. Please contact James Pope directly (

Citable as:  [ PROVISIONAL ] Pope, J. (9999): Idealised climate model simulations for the Iceland-Greenland Sea's Project (IGP). NERC EDS Centre for Environmental Data Analysis, date of citation.
Abbreviation: Not defined
Keywords: IGP, AFIS, MetUM


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: When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

The model simulations were run by James Pope when he was employed on the IGP project at the British Antarctic Survey. Model simulations were run on the Met Office supercomputer accessed through Monsoon.
Output data were then supplied to CEDA for archiving.

File Format:
Data are NetCDF formatted. Files ending or were processed using CDO. the CDO command that the filename ends with. IE for MSLP, the file was created using cdo daymean The folder splitmon used the CDO command splitmon to break each file down into January, February, March and April, identified by the suffix 01, 02, 03 and 04 respectively. Daymean and ydaymean versions were created.

Process overview

This dataset was generated by the computation detailed below.
Title MetUM vn.10.6 using the nested suite for IGP.
Abstract We have used the UK Met Office Unified Model (MetUM) version 10.6 with a regional nested domain to carry out a suite of simulations of the atmosphere over the NE North Atlantic region. Our set up of the MetUM uses the Global Atmosphere 6 and Global Land 6 (GA6/GL6) configurations including the ENDGame dynamical core (Walters et al. 2017). One modification to the standard GA6/GL6 configuration was to include form drag in surface momentum exchange over sea ice, based on Lüpkes et al. (2012) and Elvidge et al. (2016), and now part of the GL8 configuration. This new scheme has recently been implemented in the operational forecasting suite following evidence of significant improvements in simulated fluxes of momentum and heat and consequently improvements to the representation of wind speeds and temperatures over-and-downwind of the marginal-ice-zone during Arctic CAOs (Renfrew et al. 2019a). In our set up the MetUM was run globally with an N320 longitude-latitude grid (0.56° x 0.375°, equivalent to 60 km by 42 km at the equator) and 70 vertical levels up to a height of 40 km. The Iceland and Greenland Seas nested domain was 200 x 210 grid points with a spacing of 0.072° x 0.072° (equivalent to 8 km by 8 km) centred on 70.8°N, 14.0°W. The MetUM was run in atmosphere-only mode with SST and sea-ice fields prescribed at the lower boundary for both the global and regional nested domains. The SST and sea-ice data were taken from the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system (Donlon et al. 2012; Roberts-Jones et al. 2012) and re-gridded to match the respective resolutions of the global model and the nested domain. The lower boundary conditions were updated daily. Within our set up, the global model was re-initialised daily at 00 UTC by ERA-Interim reanalysis (Dee et al. 2011). After initialisation on the first day of the simulation, the nested domain is only forced at the lateral boundaries by the global model. This means the nested domain is able to spin up and maintain mesoscale structures, within a regional atmospheric circulation environment that is nudged towards reality on a daily basis. The nested domain is relatively small, so is strongly influenced by the lateral boundary conditions. All simulations were run across an extended winter period, 1st November to 30th April, for 20 seasons from winter 1990/91 to 2009/10.
Input Description None
Output Description None
Software Reference None

No variables found.

Temporal Range
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Geographic Extent

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Authors (1)