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Status and future of data assimilation in operational oceanography


Martin, MJ and Balmaseda, M and Bertino, C and Brasseur, P and Brassington, G and Cummings, J and Fujui, Y and Lea, DJ and Lellouche, J-M and Mogensen, K and Oke, PR and Smith, GC and Testut, C-E and Waagbo, GA and Waters, J and Weaver, AT, Status and future of data assimilation in operational oceanography, Journal of Operational Oceanography, 8, (S1) pp. S28-S48. ISSN 1755-876X (2015) [Refereed Article]


Copyright Statement

Copyright 2015 British Crown Copyright, the Met Office. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.1080/1755876X.2015.1022055


The GODAE OceanView systems use various data assimilation algorithms, including 3DVar, EnOI, EnKF and the SEEK filter with a fixed basis, using different time windows. The main outputs of the operational data assimilation systems, the increments, have been compared for February 2014 in various regions. The eddy-permitting systemsí increments are similar in a number of the regions, indicating similar forecast errors are being corrected, while the eddy-resolving systems represent smaller-scale structures in the mid-latitude regions investigated and appear to have smaller biases. Monthly average temperature increments show significant SST biases, particularly in the systems which assimilate swath satellite SST data, indicating systematic errors in the surface heat fluxes and the way in which they are propagated vertically by the ocean models. On-going developments to the data assimilation systems include improvements to the specification of error covariances, improving assimilation of data near the equator, and understanding the effect of assimilation on the Atlantic Meridional Overturning Circulation. Longer term developments are expected to include the implementation of more advanced algorithms to make use of flow-dependent error covariance information. Assimilation of new data sources over the coming years, such as wide-swath altimetry, is also expected to improve the accuracy of ocean state estimates and forecasts provided by the GODAE OceanView systems.

Item Details

Item Type:Refereed Article
Keywords:ocean data assimilation, oceanography
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:120252
Year Published:2015
Web of Science® Times Cited:43
Deposited By:Oceans and Cryosphere
Deposited On:2017-08-17
Last Modified:2017-10-24
Downloads:178 View Download Statistics

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