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

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The density 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 (0.3 GB)

Annual | Seasonal | Monthly |
---|---|---|

I00mn01.csv.gz | I13mn01.csv.gz - Winter
I14mn01.csv.gz - Spring I15mn01.csv.gz - Summer I16mn01.csv.gz - Autumn |
I01mn01.csv.gz - January
I02mn01.csv.gz - February I03mn01.csv.gz - March I04mn01.csv.gz - April I05mn01.csv.gz - May I06mn01.csv.gz - June I07mn01.csv.gz - July I08mn01.csv.gz - August I09mn01.csv.gz - September I10mn01.csv.gz - October I11mn01.csv.gz - November I12mn01.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.