WeatherGami

Written By Jared Rennie (@jjrennie)

Ever hear of a scorigami? It's an event in sports where a final score has never happened in its history. For example, in the <a href='https://nflscorigami.com/' target="_blank">National Football League</a>, a 20-17 score has happened over 285 times, but a 70-20 score has only happened once. When the Miami Dolphins beat the Denver Broncos 70-20 on September 24th, 2023, that was considered a scorigami!

Well, inspired by this, Jonathan Kahl wrote an <a href='https://journals.ametsoc.org/view/journals/bams/104/10/BAMS-D-23-0035.1.xml' target="_blank">article</a> in the Bulletin of the American Meteorological Society describing the concept of 'WeatherGami', utilizing the days Maximum and Minimum temperature at a given area. Since <a href='https://www.ncei.noaa.gov' target="_blank">NOAA NCEI</a> holds all of the worlds weather data, it makes sense to see how WeatherGami works on their station database. This code does that!

What You Need

First off, the entire codebase works in Python 3. In addition to base Python, you will need the following packages installed:

• requests (to access the api)
• pandas (to slice annd dice the data)
• matplotlib (to plot!)

The "easiest" way is to install these is by installing <a href='https://www.anaconda.com' target="_blank">anaconda</a>, and then applying <a href='https://conda-forge.org/' target="_blank">conda-forge</a>. Afterward, then you can install the above packages.

Launch right now with binder