This dataset contains OAC-P results from application to Argo data in the North Atlantic Ocean: - the 2000-2014 climatology of OAC-P results mapped onto a 0.5x0.5 grid with mapping error estimates; - the 2000-2014 probability density function of the permanent pycnocline potential density referenced to the sea surface vs Brunt-Väisälä frequency squared.

OAC-P is an "Objective Algorithm for the Characterization of the permanent Pycnocline" developed to characterize subtropical gyre stratification features with both observed and modeled potential density profiles. OAC-P estimates the following properties: - for the permanent pycnocline: depth, upper and lower thicknesses, Brunt-Väisälä frequency squared, potential density, temperature and salinity; - for the surface mode water overlying the permanent pycnocline: depth, Brunt-Väisälä frequency squared, potential density, temperature and salinity.

Argo data were download from Coriolis Argo GDAC on December, 8th 2014. Only Argo data with QC=1, 2, 5 or 8 were used.