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

The nitrate 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 woa18_n_all_1.00_csv.tar.gz (0.2 GB)

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

n00mn01.csv.gz |
n13mn01.csv.gz - Winter
n14mn01.csv.gz - Spring n15mn01.csv.gz - Summer n16mn01.csv.gz - Autumn |
n01mn01.csv.gz - January
n02mn01.csv.gz - February n03mn01.csv.gz - March n04mn01.csv.gz - April n05mn01.csv.gz - May n06mn01.csv.gz - June n07mn01.csv.gz - July n08mn01.csv.gz - August n09mn01.csv.gz - September n10mn01.csv.gz - October n11mn01.csv.gz - November n12mn01.csv.gz - 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.