POMME Kalman analysis of physical variables: datasets and gridded fields

The Programme Ocean Multidisciplinaire Meso Echelle (POMME) was designed to describe and quantify the role of mesoscale processes in the subduction of mode waters in the Northeast Atlantic. Intensive situ measurements were maintained during 1 year (September 2000 - October 2001), over a 8 degrees square area centered on 18 degrees W, 42 degrees N. In order to synthesized the in-situ physical observations, and merge them with satellite altimetry and surface fluxes datasets, a simplified Kalman filter has been designed. Daily fields of temperature, salinity, and stream function were produced on a regular grid over a full seasonal cycle. We propose here the gridded fields (KA_ files) and the in-situ datasets used by the analysis (Data_ files).

Simple

Date (Publication)
2015-10
Date (Revision)
2022-05-11
Other citation details
Gaillard Fabienne, Mercier Herle, Kermabon Catherine (2015). POMME Kalman analysis of physical variables: datasets and gridded fields. SEANOE. https://doi.org/10.17882/39477
Author
  Ifremer, France - GAILLARD Fabienne
Author
  CNRS, France - MERCIER Herle
Author
  Ifremer, France - KERMABON Catherine
Publisher
  SEANOE
Theme
  • Physical oceanography
ODATIS aggregation parameters and Essential Variable names
SeaDataNet Parameter Disciplines
Research Infrastructure
Type de jeux de donnée ODATIS
Use limitation
CC-BY (Creative Commons - Attribution)
Use constraints
Other restrictions
Date (Publication)
2005
Publisher
  American Geophysical Union
Author
  GAILLARD FABIENNE
Author
  MERCIER HERLE
Author
  KERMABON CATHERINE
Unique resource identifier
10.1029/2004JC002764
Association Type
Cross reference
Initiative Type
document
Unique resource identifier
10.17600/40070
Association Type
Cross reference
Initiative Type
Platform
Unique resource identifier
10.17600/1010021
Association Type
Cross reference
Initiative Type
Platform
Unique resource identifier
10.17600/1010170
Association Type
Cross reference
Initiative Type
Platform
Unique resource identifier
10.17600/1010031
Association Type
Cross reference
Initiative Type
Platform
Unique resource identifier
10.17600/1010180
Association Type
Cross reference
Initiative Type
Platform
Unique resource identifier
10.17600/1040070
Association Type
Cross reference
Initiative Type
Platform
Unique resource identifier
10.17600/1040090
Association Type
Cross reference
Initiative Type
Platform
Metadata language
English
Topic category
  • Oceans
N
S
E
W
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Distribution format
  • NC, NETCDF ( )

  • AVI, GIF, PS ( )

  • PS, XML ( )

OnLine resource
Gridded data ( WWW:DOWNLOAD-1.0-link--download )

4D fields : TEMP, PSAL, PSI, Mixed layer - 2 GB

OnLine resource
Interpolated data ( WWW:DOWNLOAD-1.0-link--download )

Kalman state vector (Data, Innovation and residuals) - 18 MB

OnLine resource
Plots ( WWW:DOWNLOAD-1.0-link--download )

Plots and animations of temperature, salinity, mixed layer - 73 MB

OnLine resource
Interpolated data ( WWW:DOWNLOAD-1.0-link--download )

CTD profiles - 61 MB

OnLine resource
Interpolated data ( WWW:DOWNLOAD-1.0-link--download )

Float data : Temperature and current - 563 KB

OnLine resource
Interpolated data ( WWW:DOWNLOAD-1.0-link--download )

Mooring data : Temperature, Salinity, Current - 562 KB

OnLine resource
Interpolated data ( WWW:DOWNLOAD-1.0-link--download )

Profiler data : Temperature, Salinity - 1 MB

OnLine resource
Interpolated data ( WWW:DOWNLOAD-1.0-link--download )

VMADCP current data - 1 MB

OnLine resource
Plots ( WWW:DOWNLOAD-1.0-link--download )

In-situ data plots and lists - 32 MB

OnLine resource
DOI of the product ( WWW:LINK-1.0-http--metadata-URL )
OnLine resource
Seanoe ( rel-canonical )
Hierarchy level
Dataset
File identifier
seanoe:39477 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2022-05-11
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Point of contact
 
 
 

Overviews

overview
Mixed layer depth

Spatial extent

N
S
E
W
thumbnail


Keywords

Physical oceanography
ODATIS aggregation parameters and Essential Variable names
Currents Salinity Sea temperature
Research Infrastructure
IR-FOF
Type de jeux de donnée ODATIS
Observational data

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