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Assessing the impact of observations on ocean forecasts and reanalyses: Part 2, Regional applications


Oke, PR and Larnicol, G and Jones, EM and Kourafalou, V and Sperrevik, AK and Carse, F and Tanajura, CAS and Mourre, B and Tonani, M and Brassington, GB and Le Hanaff, M and Halliwell Jr, GR and Atlas, R and Moore, AM and Edwards, CA and Martin, MJ and Sellar, AA and Alvarez, A and De Mey, P and Iskandarani, M, Assessing the impact of observations on ocean forecasts and reanalyses: Part 2, Regional applications, Journal of Operational Oceanography, 8, (S1) pp. S63-S79. ISSN 1755-876X (2015) [Refereed Article]


Copyright Statement

Copyright 2015 CSIRO Australia. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.1080/1755876X.2015.1022080


The value of global (e.g. altimetry, satellite sea-surface temperature, Argo) and regional (e.g. radars, gliders, instrumented mammals, airborne profiles and 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 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.

Item Details

Item Type:Refereed Article
Keywords:data assimilation, observing system
Research Division:Earth Sciences
Research Group:Oceanography
Research Field:Physical oceanography
Objective Division:Environmental Management
Objective Group:Marine systems and management
Objective Field:Measurement and assessment of marine water quality and condition
UTAS Author:Oke, PR (Dr Peter Oke)
ID Code:120258
Year Published:2015
Web of Science® Times Cited:49
Deposited By:Oceans and Cryosphere
Deposited On:2017-08-17
Last Modified:2017-10-24
Downloads:109 View Download Statistics

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