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James While

Researcher at Met Office

Publications -  17
Citations -  680

James While 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 12, co-authored 16 publications receiving 488 citations. Previous affiliations of James While include University of Reading & University of Pittsburgh.

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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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Implementing a variational data assimilation system in an operational 1/4 degree global ocean model

TL;DR: In this paper, the authors describe the implementation of an incremental first guess at an appropriate time three-dimensional variational (3DVAR) data assimilation scheme, NEMOVAR, in the Met Office's operational 1/4 degree global ocean model.
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The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses

TL;DR: This technical note focuses on the production of the foundation SST and IC analyses by OSTIA and aims to provide a comprehensive description of the current system configuration.
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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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Marine ecosystem models for earth systems applications: The MarQUEST experience

TL;DR: Recommendations are made as to where future investment in marine ecosystem modelling should be focused, highlighting a generic software framework for model development, improved hydrodynamic models, and better parameterisation of new and existing models, reanalysis tools and ensemble simulations.