Techblog

Building on the same techniques as discussed in our last tech blog 6, which focused on using python and matplotlib to plot ERA5 temperature data in West Africa. These plots illustrate the effect [...]

A quick/dirty tech blog today, getting to know some of Matplotlib’s extra features for generating some attractive plots! Using yearly ERA5 temperature data from 1979 to present obtained [...]

For any data produced with the intention of being downloaded and used by other users, it important to include information on the dataset. For example, details on the data origins should be [...]

In order to build and maintain a robust operational system, which relies on many datasets, file naming becomes an important factor in identifying and describing the data contained within. In the [...]

This post serves as a continuation on the techniques described in Tech Blog #4. So please familiarise with those steps beforehand. NUTS2 As before, load in the NUTS shapefiles, this time [...]

As in previous blogs, this focuses on the Python programming language. For information on installing Python and packages, please see previous technical blogs #1 and #2. This example will look at [...]

We wanted to see if we could improve on the standard power law coefficient (1.389495) for calculating 100m wind speed from 10m data. The currently available ten years of ERA5 U and V netCDF wind [...]

This example will examine how to plot time series wind measurements stored as NetCDF datasets, using Python3 (for info on installing Python3 and packages, see our previous blog).

In this series of technical blog posts, we will be looking at using open source tools to examine energy and climate data. The examples will be mostly using Python3 and based on OSX/Linux [...]