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## WOA 2018 Data Access: Statistical mean of temperature on 1° grid for all decades

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The temperature 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 the WOA
instructions.
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### Statistical mean data links (1° grid)

## All fields woa18_t_decav_1.00_csv.tar.gz (0.4 GB)

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

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

File naming conventions: [PREF]_[DDDD]_[V][TT][FF][GG].[EXT], where:

- [PREF] - prefix
- [DDDD] - decade
- [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.