Stations: A comma-separated list of station IDs, e.g. PSRIM,PSINK. If you don't know the station ID, you can search on Mesowest.

With some knowledge of the Synoptic Mesonet API, you can make more complex station queries. Instead of a list of stations, you can instead provide station selection parameters to refine your station selection. This string is inserted in the API request, so you need to separate each argument with a &. For example:

• radius=wbb,5 All stations within a 5 mile radius of WBB.
• radius=wbb,5&limit=10 10 stations nearest WBB within a 5 mile radius.
• radius=WBB,5&limit=10&stid=!MTMET Same as above, but exclude the station MTMET.
• radius=WBB,20&network=153 Stations within 20 miles of WBB that belong to the UUNET network. (See list of network providers.)
• radius=KSLC,40&network=1,2&limit=8 8 stations within 40 miles of KSLC that belong to the ASOS/AWOS and RAWS networks. (See list of network providers.)
• radius=41.5,-120.25,20&limit=10 10 stations within 20 miles of the latitude,longitude location.

Select the variable you wish to plot.

There are three ways to specify the plot's time range:

1. "Start at [datetime] and end at [datetime]."
2. "Start at [datetime] and end [timedelta] later."
3. "Start [timedelta] before the end [datetime]."

Start Time: Specify the starting time for the plot. This must be a Pandas-parsable datetime string YYYY-MM-DD HH:MM or if an End datetime is given, a Pandas-parsable timedelta such as 30min for 30 minutes, 12H for 12 hours, 3D for 3 days.

End Time: Specify the ending time for the plot. This must be a Pandas-parsable datetime string YYYY-MM-DD HH:MM or if a Start datetime is given, a Pandas-parsable timedelta such as 30min for 30 minutes, 12H for 12 hours, 3D for 3 days.

You can "smooth" the data using two different methods built into Pandas:

1. Resample: Reduces the amount of data points to interval selected by computing a statistic for the time window. This is useful for showing the "daily maximum temperature" for the time period.
2. Rolling: Returns the same amount of data points but value (i.e. mean, max, min) is computed over a rolling time window.

Also specify the time window (as a Pandas-parsable timedelta) and the statistic to compute in the time window (e.g. Mean). Note: wind direction statistics uses SciPy Directional Statistics. Also, "Spread" is a special case that is intended to be used with the "Resample" method; it shows a bar of the max, min, median, and a diamond for the mean within the Resample time window. plot.

Specify the colors you want each line. Maybe you have lots of stations plotted, but want to highlight only one; you can make that station "red" and the others a shade of grey. Note that colors are reused if there are more stations than colors.

There are some predefined color schemes to make it easy to change all the colors at once or reset to the default color scheme. Just click the drop down next to the colors and select one of the schemes for one you like.

Toggle units to be returned in English or Metric units. Also toggle if time is local or UTC.