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WOA 2013 Data Access: Statistical mean of oxygen on 1° grid for all decades

The oxygen climatological fields can be downloaded as an individual file or a compressed file of all climatological fields and related statistics. Information on downloading and reading the data is available from WOA instructions

  1. Available formats:
  2. Available grids:
  3. Available fields:

Statistical mean data links (1° grid)

All fields climatology.tar.gz (0.0 KB)

o00mn01.csv.gz o13mn01.csv.gz - Winter
o14mn01.csv.gz - Spring
o15mn01.csv.gz - Summer
o16mn01.csv.gz - Autumn
o01mn01.csv.gz - January
o02mn01.csv.gz - February
o03mn01.csv.gz - March
o04mn01.csv.gz - April
o05mn01.csv.gz - May
o06mn01.csv.gz - June
o07mn01.csv.gz - July
o08mn01.csv.gz - August
o09mn01.csv.gz - September
o10mn01.csv.gz - October
o11mn01.csv.gz - November
o12mn01.csv.gz - December

File naming conventions:


  1. where:
  2. [V] - variable
  3. [TT] - time period
  4. [FF] - field type
  5. [GG] - grid (5d- 5°, 01- 1°)
  6. [EXT] - file extention

Note: '.dat' - ASCII; '.csv' - comma separated value; '.dbf', '.shp', '.shx' - ArcGIS shape files; '.nc' - netCDF files

Short description of the statistical fields in WOA

  • Objectively analyzed climatologies are the objectively interpolated mean fields for oceanographic variables at standard depth levels for the World Ocean.
  • The statistical mean is the average of all unflagged interpolated values at each standard depth level for each variable in each 1° square which contains at least one measurement for the given oceanographic variable.
  • The number of observations of each variable in each 1° square of the World Ocean at each standard depth level.
  • The standard deviation about the statistical mean of each variable in each 1° square at each standard depth level.
  • The standard error of the mean of each variable in each 1° square at each standard depth level.
  • The seasonal or monthly climatology minus the annual climatology at each 1° square at each standard depth.
  • The statistical mean minus the climatological mean at each 1° square at each standard depth. This value is used as an estimate of interpolation and smoothing error.
  • The number of 1° squares within the smallest radius of influence around each 1° square which contain a statistical mean.