CALCULATING NUTS2 REGIONAL AVERAGES WITH LAND SEA MASK

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.

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ERA5 10M/100M ANALYSIS

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:

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Examining NetCDF Files in R

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).

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Google Analytics Certificate

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.