Monthly climatology of the upper ocean pycnocline

Date 2022
Author(s) Sérazin GuillaumeORCID1, Tréguier Anne MarieORCID1, de Boyer Montégut ClementORCID1
Affiliation(s) 1 : Ifremer, Univ. Brest, CNRS, IRD, Laboratoire d’Océanographie Physique et Spatiale (LOPS), IUEM, 29280, Plouzané, France
DOI 10.17882/91020
Publisher SEANOE
Keyword(s) oceanography, mixed layer, ocean stratification

The upper ocean pycnocline (UOP) monthly climatology is based on the ISAS20 ARGO dataset containing Argo and Deep-Argo temperature and salinity profiles on the period 2002-2020. Regardless of the season, the UOP is defined as the shallowest significant stratification peak captured by the method described in Sérazin et al. (2022), whose detection threshold is proportional to the standard deviation of the stratification profile.

The three main characteristics of the UOP are provided -- intensity, depth and thickness -- along with hydrographic variables at the upper and lower edges of the pycnocline, the Turner angle and density ratio at the depth of the UOP. A stratification index (SI) that evaluates the amount of buoyancy required to destratify the upper ocean down to a certain depth, is also included. When evaluated at the bottom of the UOP, this gives the upper ocean stratification index (UOSI) as discussed in Sérazin et al. (2022). Three mixed layer depth variables are also included in this dataset, including the one using the classic density threshold of 0.03 kg.m-3, along with the minimum of these MLD variables.

Several statistics of the UOP characteristics and the associated quantities are available in 2°×2° bins for each month of the year, whose results were smoothed using a diffusive gaussian filter with a 500 km scale. UOP characteristics are also available for each profile, with all the profiles sorted in one file per month.

Licence CC-BY
File Size Format Processing Access
Monthly climatology of upper ocean pycnocline on a 2°x2° grid 276 MB NC, NetCDF Processed data Open access
Upper ocean pycnocline estimated on ISAS profiles 254 MB NC, NetCDF Processed data Open access
Top of the page

How to cite 

Sérazin Guillaume, Tréguier Anne Marie, de Boyer Montégut Clement (2022). Monthly climatology of the upper ocean pycnocline. SEANOE.

In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication :

Guillaume Sérazin, Anne Marie Tréguier, Clément de Boyer Montégut (2022). A seasonal climatology of the upper ocean pycnocline. Frontiers in Marine Science