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Arctic 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 (35.7 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°)
- [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 an oceanographic variable 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 contain 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.