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

Author(s)
Oke, P.  
CSIRO Marine and Atmospheric Research, Hobart, Tasmania, Australia  
Larnicol, G.  
CLS-Space Oceanography Division, Ramonville-Saint-Agne, France  
Jones, E.  
CSIRO Marine and Atmospheric Research, Hobart, Tasmania, Australia  
Kourafalou, V.  
niversity of Miami/RSMAS, Miami, FL USA  
Sperrevik, A. K.  
Norwegian Meteorological Institute, Oslo, Norway  
Carse, F.  
Met Office, Exeter, UK  
Tanajura, C.  
Physics Institute, Federal University of Bahia (UFBA), Salvador, Brazil  
Mourre, B.  
SOCIB, Palma de Mallorca, Spain  
Tonani, M.  
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia  
Language
English
Obiettivo Specifico
4A. Clima e Oceani
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Journal of Operational Oceanography  
Issue/vol(year)
Sup 1/8 (2015)
ISSN
1755-8778
Pages (printed)
s63-s79
Date Issued
2015
DOI
10.1080/1755876X.2015.1022080
URI
https://www.earth-prints.org/handle/2122/10021
Subjects
03. Hydrosphere::03.01. General::03.01.05. Operational oceanography  
Subjects

data assimilation, oc...

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.
Type
article
File(s)
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Name

Oke-2014-OSE-reg.pdf

Description
main article
Size

3.51 MB

Format

Adobe PDF

Checksum (MD5)

d28e88c19e4bf68420cc49f2d5b4aab5

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