POMME Kalman analysis of physical variables: datasets and gridded fields

Date 2015-10
Author(s) Gaillard FabienneORCID1, Mercier HerleORCID2, Kermabon Catherine1
Affiliation(s) 1 : Ifremer, France
2 : CNRS, France
Label Approved by Pôle Océan
DOI 10.17882/39477
Publisher SEANOE
Abstract

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).

Licence CC-BY
Data
File Size Format Processing Access
4D fields : TEMP, PSAL, PSI, Mixed layer 2 GB NC, NetCDF Gridded data Open access
Kalman state vector (Data, Innovation and residuals) 18 MB NC, NetCDF Interpolated data Open access
Plots and animations of temperature, salinity, mixed layer 73 MB AVI, GIF, ps Plots Open access
CTD profiles 61 MB NC, NetCDF Interpolated data Open access
Float data : Temperature and current 563 KB NC, NetCDF Interpolated data Open access
Mooring data : Temperature, Salinity, Current 562 KB NC, NetCDF Interpolated data Open access
Profiler data : Temperature, Salinity 1 MB NC, NetCDF Interpolated data Open access
VMADCP current data 1 MB NC, NetCDF Interpolated data Open access
In-situ data plots and lists 32 MB PS, XML Plots Open access
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How to cite 

Gaillard Fabienne, Mercier Herle, Kermabon Catherine (2015). POMME Kalman analysis of physical variables: datasets and gridded fields. SEANOE. http://doi.org/10.17882/39477