Usually, we can see analysis depicting the mean temperature by day, week, month, or year…but the original raw data had a lot more than that.
Satellite data are a lot of data a lot of multidimensional data (latitude, longitude, time, and a variable -or more!- of interest, like temperature). So if you’re stuck in a similar way or you are also realizing that NetCDF files are here to stay: I hope this tutorial can be of help! What is NetCDF? Recently a friend had a similar issue with an nc file I sent her my script and some days later she texted me: “Saved. Writing a tutorial for it never crossed my mind. An initial Google search proved pointless for me: lots of tutorials with MATLAB and Python - this was at a time when all I knew was some pretty basic R.Įventually, I learned how to do it and many other things since (some tears were involved in the process), but I fell into the old impostor-brain trap of thinking “maybe I was the only one that didn’t know this”. Initially, I was excited to find that the data I needed said “download for free”, but I almost immediately gave up on what I wanted to do because I had no idea how to read this file which had a weird '.nc' ending I had never seen before. But some freely available data might not be as easily accessible as one might think. Many of the initiatives behind these satellites even make these data free for all of us to use. Lucky for us, many of those shiny orbiting specks of light we see in a cloudless night - satellites - are doing a lot of the hard work for us collecting data. A lot of things today are or can be analyzed with climate and weather data in mind: agriculture production, tourism, sales, emergency management, construction, migration, allergies, or your yearly ice cream munchies.
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