Statistical mean of temperature on 1° grid for all decades

The temperature 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 climatology.tar.gz (14.5 MB)

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

t00mn01.csv |
t13mn01.csv - Winter
t14mn01.csv - Spring t15mn01.csv - Summer t16mn01.csv - Fall |
t01mn01.csv - January
t02mn01.csv - February t03mn01.csv - March t04mn01.csv - April t05mn01.csv - May t06mn01.csv - June t07mn01.csv - July t08mn01.csv - August t09mn01.csv - September t10mn01.csv - October t11mn01.csv - November t12mn01.csv - 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.