Knowing the climate of a region / a country could be essential to study its ecosystem. Here I’m going to explain how to build that kind of map in a few lines of code! Here as we are focusing on climate data we are going to download the 2m temperature as well as rainfall.
Even if we do not need a lot of experience to do that kind of map let’s split the work and take some minutes to speak about the dataset.
Quickly Copernicus Climate Change Service is a European project fund by the European Commission. But why Copernicus you might ask? Because this part of the Copernicus Program which is an Earth Observation Program dedicated to giving a scientific picture of the health of our blue dot. But still why Copernicus you might ask? Nicolaus Copernicus is at the origin of modern astronomy. Copernicus program is at the origin of full, free, and open access to space data.
So now let’s dive into the data. Thanks to Copernicus Climate Change Service you can easily download data. Here as we are focusing on climate data we are going to download the 2m temperature as well as rainfall. This data is built on satellite measures, in-situ data, and models. (link)
Let’s download (netCDF format) the monthly reanalysis of the precipitation and the temperature from 1981 until 2019 above France. We should have 456 values for precipitation as well as temperature.
So what do we need to work on this data?
One conda virtual environment design for geodata science with the following libraries :
Installation of this environment might be the longest task of this small article.
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The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.
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Need a data set to practice with? Data Science Dojo has created an archive of 32 data sets for you to use to practice and improve your skills as a data scientist.
A data scientist/analyst in the making needs to format and clean data before being able to perform any kind of exploratory data analysis.