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WOA 2013 V2 Data Access: Statistical mean of salinity on 1° grid for all decades

The salinity 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

Statistical mean data links (1° grid)

All fields climatology.tar.gz (0.0 KB)

Annual	Seasonal	Monthly
s00mn01v2.csv.gz	s13mn01v2.csv.gz - Winter s14mn01v2.csv.gz - Spring s15mn01v2.csv.gz - Summer s16mn01v2.csv.gz - Autumn	s01mn01v2.csv.gz - January s02mn01v2.csv.gz - February s03mn01v2.csv.gz - March s04mn01v2.csv.gz - April s05mn01v2.csv.gz - May s06mn01v2.csv.gz - June s07mn01v2.csv.gz - July s08mn01v2.csv.gz - August s09mn01v2.csv.gz - September s10mn01v2.csv.gz - October s11mn01v2.csv.gz - November s12mn01v2.csv.gz - December

File naming conventions:

[V][TT][FF][GG].[EXT]

where:
[V] - variable
[TT] - time period
[FF] - field type
[GG] - grid (5deg- 5°, 01- 1°, 04 - 1/4°)
[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.