nerc.ac.uk

GO 5.0: The joint NERC-Met Office NEMO global ocean model for use in coupled and forced applications

Megann, A.P.; Storkey, D.; Aksenov, Y.; Alderson, S.; Calvert, D.; Graham, T.; Hyder, P.; Siddorn, J.; Sinha, B.. 2014 GO 5.0: The joint NERC-Met Office NEMO global ocean model for use in coupled and forced applications. Geotechnical Model Development, 7 (3). 1069-1092. 10.5194/gmd-7-1069-2014

Before downloading, please read NORA policies.
[img]
Preview
Text (Open Access paper)
gmd-7-1069-2014_Megann.pdf - Published Version

Download (8MB) | Preview

Abstract/Summary

We describe a new Global Ocean standard configuration (GO5.0) at eddy-permitting resolution, developed jointly between the National Oceanography Centre and the Met Office as part of the Joint Ocean Modelling Programme (JOMP). This programme is a working group of the UK's National Centre for Ocean Forecasting (NCOF) and part of the Joint Weather and Climate Research Programme (JWCRP). The configuration has been developed with the seamless approach to modelling in mind for ocean modelling across timescales and for a range of applications, from short-range ocean forecasting through seasonal forecasting to climate predictions as well as research use. The GO5.0 configuration has been coupled with sea-ice (GSI5.0), atmosphere (GA5.0) and land-surface (GL5.0) configurations to form a standard coupled global model (GC1). The GO5.0 model will become the basis for the ocean model component of the Forecasting Ocean Assimilation Model, which provides forced short-range forecasting services. The global coupled model (GC1) or future releases of it will be used in coupled short-range ocean forecasting, seasonal forecasting, decadal prediction and for climate prediction as part of the UK Earth System Model.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.5194/gmd-7-1069-2014
ISSN: 19919603
Date made live: 10 Feb 2014 13:33 +0 (UTC)
URI: http://nora.nerc.ac.uk/id/eprint/504363

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...