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EAS Regional Climatology: temperature statistical mean 1° grid

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. .

The WOA documentation includes information on downloading and reading the data. .

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

## All fields climatology.tar.gz (4.0 MB)

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

t00mn01.csv | t13mn01.csv - Winter
t14mn01.csv - Spring t15mn01.csv - Summer t16mn01.csv - Autumn |
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: '.csv' - ASCII comma separated; '.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.