Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/10021
Authors: Oke, P.* 
Larnicol, G.* 
Jones, E.* 
Kourafalou, V.* 
Sperrevik, A. K.* 
Carse, F.* 
Tanajura, C.* 
Mourre, B.* 
Tonani, M.* 
Title: Assessing the impact of observations on ocean forecasts and reanalyses: Part 2, Regional applications
Issue Date: 2015
Series/Report no.: Sup 1/8 (2015)
DOI: 10.1080/1755876X.2015.1022080
URI: http://hdl.handle.net/2122/10021
Keywords: data assimilation, ocean forecast, ocean prediction, regional systems
Subject Classification03. Hydrosphere::03.01. General::03.01.05. Operational oceanography 
Abstract: The value of global (e.g., altimetry, satellite sea-surface temperature, Argo) and regional (e.g., radars, gliders, instrumented mammals, airborne profiles, biogeochemical) observation-types for monitoring the mesoscale ocean circulation and biogeochemistry is demonstrated using a suite of global and regional prediction systems and remotely-sensed data. A range of techniques is used to demonstrate the value of different observation-types to regional systems and the benefit of high- resolution and adaptive sampling for monitoring the mesoscale circulation. The techniques include Observing System Experiments, Observing System Simulation Experiments, adjoint sensitivities, representer matrix spectrum, observation footprints, information content and spectral analysis. It is shown that local errors in global and basin-scale systems can be significantly reduced when assimilating observations from regional observing systems.
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