Reference files and python code to run Min/Max QC test
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
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. https://doi.org/10.1175/JTECH-D-18-0244.1, https://archimer.ifremer.fr/doc/00628/74031/
Wong Annie P. S., Wijffels Susan E., Riser Stephen C., Pouliquen Sylvie, Hosoda Shigeki, Roemmich Dean, Gilson John, Johnson Gregory C., Martini Kim, Murphy David J., Scanderbeg Megan, Bhaskar T. V. S. Udaya, Buck Justin J. H., Merceur Frederic, Carval Thierry, Maze Guillaume, Cabanes Cécile, André Xavier, Poffa Noe, Yashayaev Igor, Barker Paul M., Guinehut Stéphanie, Belbéoch Mathieu, Ignaszewski Mark, Baringer Molly O'Neil, Schmid Claudia, Lyman John M., McTaggart Kristene E., Purkey Sarah G., Zilberman Nathalie, Alkire Matthew B., Swift Dana, Owens W. Brechner, Jayne Steven R., Hersh Cora, Robbins Pelle, West-Mack Deb, Bahr Frank, Yoshida Sachiko, Sutton Philip J. H., Cancouët Romain, Coatanoan Christine, Dobbler Delphine, Juan Andrea Garcia, Gourrion Jerome, Kolodziejczyk Nicolas, Bernard Vincent, Bourlès Bernard, Claustre Hervé, D'Ortenzio Fabrizio, Le Reste Serge, Le Traon Pierre-Yves, Rannou Jean Philippe, Saout-Grit Carole, Speich Sabrina, Thierry Virginie, Verbrugge Nathalie, Angel-Benavides Ingrid M., Klein Birgit, Notarstefano Giulio, Poulain Pierre-Marie, Vélez-Belchí Pedro, Suga Toshio, Ando Kentaro, Iwasaska Naoto, Kobayashi Taiyo, Masuda Shuhei, Oka Eitarou, Sato Kanako, Nakamura Tomoaki, Sato Katsunari, Takatsuki Yasushi, Yoshida Takashi, Cowley Rebecca, Lovell Jenny L., Oke Peter R., Van Wijk Esmee M., Carse Fiona, Donnelly Matthew, Gould W. John, Gowers Katie, King Brian A., Loch Stephen G., Mowat Mary, Turton Jon, Rama rao E. Pattabhi, Ravichandran M., Freeland Howard J., Gaboury Isabelle, Gilbert Denis, Greenan Blair J. W., Ouellet Mathieu, Ross Tetjana, Tran Anh, Dong Mingmei, Liu Zenghong, Xu Jianping, Kang KiRyong, Jo HyeongJun, Kim Sung-Dae, Park Hyuk-Min (2020). Argo Data 1999–2019: Two Million Temperature-Salinity Profiles and Subsurface Velocity Observations From a Global Array of Profiling Floats. Frontiers In Marine Science. 7 (700). 23p.. https://doi.org/10.3389/fmars.2020.00700, https://archimer.ifremer.fr/doc/00652/76377/
Argo (2019). Argo float data and metadata from Global Data Assembly Centre (Argo GDAC) - Snapshot of Argo GDAC of January 8st 2019. SEANOE. https://doi.org/10.17882/42182#61117
