Reference files and python code to run Min/Max QC test

Date 2020-11
Author(s) Gourrion J1, Dobler DORCID2, Gallian M1, Szekely T1, Beaulieu N1
Affiliation(s) 1 : OceanScope, 38 rue Jim Sévellec, 29200 Brest, France
2 : Sismer/Ifremer, ZI Pointe du diable, CS 10070, 29280 Plouzané. Currently at IRD
DOI 10.17882/77199
Publisher SEANOE
Abstract

The MinMax QC test checks whether a given temperature/salinity observation lays inside a local validity interval estimated from an historical dataset with specific quality check applied. Instead of estimating the validity interval bounds from first and second order statistical moments, i.e. mean and variance, the local minimum and maximum values are used, allowing to account for the non-gaussianity of the local parameter distribution. The present package contains :


  • a directory with the reference Netcdf files: « GRID_MIN_MAX.nc », « TEMP_MIN_MAX.nc » and « PSAL_MIN_MAX.nc »

  • a python function « Tools_MinMax_ISEA.py » with the tools required to use the reference files

  • a python script « Example_MinMax_ISEA.py » as an example showing how to plot a profile and its Min/Max envelope

  • a directory with auxiliary files : ISEA grid characteristics, T/S example profile

  • a readme.txt file

Licence CC-BY-NC-SA
Acknowledgements This work has been initiated by J.Gourrion as a CNRS contractual funded by the Copernicus Marine Service In Situ phase-I contract ; since 2018, J.Gourrion is with OceanScope, Brest (France) with funding by the Copernicus Marine Service In Situ phase-II contract.
Data
File Size Format Processing Access
MinMax package 70 MB Python and NetCDF files Open access
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How to cite 

Gourrion J, Dobler D, Gallian M, Szekely T, Beaulieu N (2020). Reference files and python code to run Min/Max QC test. SEANOE. https://doi.org/10.17882/77199


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 :


Gourrion Jerome, Szekely Tanguy, Killick Rachel, Owens Breck, Reverdin Gilles, Chapron Bertrand (2020). Improved Statistical Method for Quality Control of Hydrographic Observations. Journal Of Atmospheric And Oceanic Technology, 37(5), 789-806. Publisher's official version : https://doi.org/10.1175/JTECH-D-18-0244.1 , Open Access version : https://archimer.ifremer.fr/doc/00628/74031/