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WOA 2013 V2 Data Access: Statistical mean of conductivity on 1° grid 1981 - 2010 years
The conductivity 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 |
---|---|---|
C00mn01.csv.gz | C13mn01.csv.gz - Winter
C14mn01.csv.gz - Spring C15mn01.csv.gz - Summer C16mn01.csv.gz - Autumn |
C01mn01.csv.gz - January
C02mn01.csv.gz - February C03mn01.csv.gz - March C04mn01.csv.gz - April C05mn01.csv.gz - May C06mn01.csv.gz - June C07mn01.csv.gz - July C08mn01.csv.gz - August C09mn01.csv.gz - September C10mn01.csv.gz - October C11mn01.csv.gz - November C12mn01.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.