WOA 2018 - Data Access: Statistical mean of Percent Oxygen Saturation on 1° grid for all decades
The Percent Oxygen Saturation 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.
Statistical mean data links (1° grid)
All fields woa18_O_all_1.00_csv.tar.gz (0.3 GB)
| Annual | Seasonal | Monthly |
|---|---|---|
| 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:
[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.
