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R Furner

Researcher at Met Office

Publications -  7
Citations -  433

R Furner is an academic researcher from Met Office. The author has contributed to research in topics: Data assimilation & Sea surface temperature. The author has an hindex of 6, co-authored 6 publications receiving 347 citations.

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An operational ocean forecast system incorporating NEMO and SST data assimilation for the tidally driven European North-West shelf

TL;DR: In this paper, a new operational ocean forecast system, the Atlantic Margin Model implementation of the Forecast Ocean Assimilation Model (FOAM-AMM), has been developed for the European North West Shelf (NWS).
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Forecasting the ocean state using NEMO:The new FOAM system

TL;DR: The Forecasting Ocean Assimilation Model (FOAM) deep ocean analysis and forecasting system has been running operationally at the Met Office for over 10 years and has recently been transitioned to use the Nucleus for European Modelling of the Ocean (NEMO) community model as its core ocean component.
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The CO5 configuration of the 7 km Atlantic Margin Model: large-scale biases and sensitivity to forcing, physics options and vertical resolution

TL;DR: In this paper, the authors describe the physical model component of the standard Coastal Ocean version 5 configuration (CO5) of the European north-west shelf (NWS). CO5 was developed jointly between the Met Office and the National Oceanography Centre.
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An analytical stretching function that combines the best attributes of geopotential and terrain-following vertical coordinates

TL;DR: In this paper, a function for discretising the vertical coordinate in ocean models is proposed, which allows the user to define a fixed surface resolution, as one can in geopotential coordinate models, whilst retaining the benefits of terrain-following coordinates.