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WOA 2018 - Data Access: Statistical mean of Temperature on 1° grid for all decades

The Temperature climatological fields can be downloaded as an individual file or a compressed file of all climatological fields and related statistics.
The WOA documentation includes information on downloading and reading the data.

Temperature: Statistical mean data links (1° grid)
All fields woa18_t_decav_1.00_csv.tar.gz (0.4 GB)

Annual Seasonal Monthly
t00mn01.csv.gz t13mn01.csv.gz - Winter
t14mn01.csv.gz - Spring
t15mn01.csv.gz - Summer
t16mn01.csv.gz - Autumn
t01mn01.csv.gz - January
t02mn01.csv.gz - February
t03mn01.csv.gz - March
t04mn01.csv.gz - April
t05mn01.csv.gz - May
t06mn01.csv.gz - June
t07mn01.csv.gz - July
t08mn01.csv.gz - August
t09mn01.csv.gz - September
t10mn01.csv.gz - October
t11mn01.csv.gz - November
t12mn01.csv.gz - December

File naming conventions: [V][TT][FF][GG].[EXT]
where:
[V] - variable
[TT] - time period
[FF] - field type
[GG] - grid (01- 1°, 04 - 1/4° 10 - 1/10°)
[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.