As demonstrated below, the advantage of Python is not in the query but rather the ability to reformat, clean, and plot the data in just a few lines of code. This can be done in a number of programming languages. So how do we get our hands on this juicy data? After getting an API key, we can write simple API queries to download the data. And speaking of sites, Mesowest has sites from many sources including ASOS, RAWS, HADS, CWOP, USCRN, and SNOTEL. There are limitless possibilities for using this data–and besides temperature you can also get everything else the sensor records–dew point, wind speed/direction, pressure, and a whole list of other variables depending on the site. The ease of data acquisition enables cool applications such as showing how the 2017 solar eclipse caused a temperature drop in the middle of the day across nearly the entire US:
The launch of the Mesonet API in 2016 made it extremely easy to download years worth of timeseries data from surface sites. Mesowest, a weather data site run by the University of Utah, is one of the best online sources for surface weather data.
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