First, choose a climate variable that you would like to visualize. The options are Daily High Temperature, Daily Low Temperature, Daily Rainfall, and Daily Snowfall.
Next, define your data query region. Either draw a rectangle using the map or manually enter the latitude and longitude values of your query region.
To draw a rectangle, 1. click on the ◼️ icon in the map toolbar. Draw a rectangle on the screen and 2. click the button below to add the coordinates to the data query boxes below.
To draw a new rectangle, 3. click on the Trash icon and click "Clear all" then repeat the process above.
To view a collection of stations within 1° latitude and longitude of the drawn rectangle, click on the button labeled "Show station locations near drawn region". After a few seconds, markers will appear indicating the location of each station.
Hover over each marker to reveal station metadata:
Station ID: Station Name, State (data network)
variable: start date, end date
Once coordinates have been entered into the query region boxes (either via the map or manually entered), type in a location name that will be used in the data visualizations generated below. Click "Submit" to start the visualizations.
Scroll down to view the data stations involved in your query. Once the data query is complete, the data visualization will appear below.
The default data visualization is "Annual Cycle". Click the dropdown menu to choose from the available list of data visualizations.
To modify the figure, use the dropdown menus and text boxes above it. The figure will update automatically after each edit. Click on the widget headers to view more information about how to use them.
Options exist for saving the current figure and downloading an Excel file with the data used to make the figure.
To view more information regarding the data query, click the button at the bottom of the screen. It will show data for every individual day for each station, as well as a time series of the number of records for each day and map of each station involved in the data query.