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

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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
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### Statistical mean data links (1° grid)

## All fields climatology.tar.gz (0.0 KB)

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 (5d- 5°, 01- 1°)
- [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.