Documenting an adventure into data, development and climate science
This post serves as a continuation on the techniques described in my last blog post. So please familiarise with those steps beforehand.
NUTS2
As before, load in the NUTS shapefiles, this time selecting NUTS2.
NUTS2 is higher resolution and as a result, there are many more shapefiles. NUTS2 contains polygons at a regional (sub-country) level. In total there are 332 shapes for the Eurostat EU region.
Continue reading “CALCULATING NUTS2 REGIONAL AVERAGES WITH LAND SEA MASK”
This example will look at how to mask ERA5 data from the European region, downloaded from ECMWF Climate Data Store (CDS). The procedure heavily relies on functions provided by the scitools Iris package, although similar results could be obtained using a combination of packages like xarray and regionmask.
Continue reading “CALCULATING EU COUNTRY AVERAGES WITH ERA5 AND NUTS”
I wanted to see if I 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 components from CDS were concatenated, then calculated for wind speed using CDO; a handy collection of command-line operators to manipulate and analyse climate and numerical weather prediction data:
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, I will be looking at using open source tools to examine energy and climate data.
Continue reading “Installing Python3 and Packages (OSX/Unix)”
I am currently working for a non profit organisation, working on enhancing the interaction between the energy industry and the weather, climate and broader environmental sciences community.
Not coming from a climate science background, I had to become quickly accustomed to the terminology and technologies associated with this field of research. A commonly used file types produced to represent weather and climate data, are Network Common Data Files (aka NetCDF files).
Just completed the advanced Google analytics training at Google Academy!
I recently completed some website maintenance work for Norwich based opticians Dipple & Conway
As I’ve been using Google Analytics daily for the past year, I thought it was high time I got properly certified. I completed the beginners course on Analytics Academy today and picked up some useful tips I hadn’t been utilising. Will be doing the intermediate and advanced courses in the coming weeks.
Recent contract to create an eCommerce site for UK based children’s party suppliers, Marvellous Cat.
They requested a clean website to replace their existing big cartel shop, with provision for a shop, blog, free downloads and more.
