Load NOAA data

The initial screen starts at the “parameter” tab of the left-most field which allows the selection of the oceanographic variable of interest.

• The drop down menu “variable” selects the oceanographic variable of interest.
• The drop down menu “averaging” selects the time period over which the mean is calculated. The period can be “annual”, North Hemisphere seasonal (e.g., “Spring”, three-month periods) and monthly (e.g., “January”).
• The drop down menu “resolution” selects the grid resolution for mean fields on a 1- or 5-degree longitude/latitude grid.

The following document lists the technical details of the variable collection and presentation: NOAA World Ocean Atlas 2018 Product Documentation. The papers on this page give in-depth information on the variable of interest: https://www.ncei.noaa.gov/products/world-ocean-atlas.

Clicking the “load data” button extracts the data from the NOAA WOA database. This operation can take some time.

Filter NOAA data

The last action also automatically drops us in the “locations” tab (in the left most field), which allows us to select specific regions on the now displayed world map of the variable of interest.

Locations tab (Left)

This field allows filtering of the dataset.

• The text fields: “depth”, “longitude”, and “latitude” specify the location to extract oceanographic variables. Alternatively, one can click on the plot (“map” tab) to obtain the values. It is possible to extract multiple locations at once by providing a comma separated list (e.g., 120, 130, 140) to the text field on the left (“locations” tab). Note, that depth and coordinate vectors should be of the same length, or one of the two should have length one. The data is extracted only when all three text fields have been filled, and by subsequently clicking the button “extract”.
• Data extraction can be achieved in two modes; “point” and “fuzzy”, where the former results in a very precise search, the latter option searches in an area with a circumference of 50\(\,\)km around the selected coordinate point. The returned value of a fuzzy search is therefore an average of the search area. Currently, fuzzy search is not yet implemented.
• The button “extract” uses the information supplied in the text fields: “depth”, “longitude”, and “latitude” to extract the oceanographic variable. Hence, the button is only active when those fields have been filled, and otherwise remains greyed-out. The buttons: “reset” and “back” revert all, or the last extraction, respectively. These two operations can be used for both data extracted by clicking on the interactive plot and/or obtained by using the text field search.

Map tab (right)

This field allows changing visual aspects of the NOAA data. In addition the plot is interactive and can be clicked (single click). It is therefore possible to only use the right-hand side of the screen to select your data without touching any of the buttons and menus on the left-side.

• The “projections” drop-down menu enables selection some of commonly used projections, such as “4326”. And, two stereographic projections “3031” and “3995” of the Antarctic and Arctic regions, respectively.
• The checkbox “fix variable scale” determines whether the variable scale is fixed for the current depth slice or the whole dataset. Loosening the variable scale can help highlight nuanced differences in certain variables (e.g., phosphate).
• The “depth” slider allows filter for depth slices.

Extract NOAA data

Now that you have filtered the data you required you can view the results in a table by clicking on the “table” tab on the right side of the screen.

• The button “download” enables downloading of the current table in csv format.

Loading the package and data

Imagine we are interested in phosphate concentrations in the month December from the Agulhas Basin at a depth 0f 1000 meter below sealevel.

First, we extract the data by proving the variable, grid resolution, and the averaging period. Make sure to have an internet connection in order to connect to the NOAA server.

# load package
library(oceanexplorer)
# get data
(WOA <- get_NOAA("phosphate", 1, "December"))

This operation can take a while, but it can be sped-up during future calls by caching the data. This can be done by setting the cache argument to TRUE. As a default get_NOAA does not cache the data.