Use of CERRA wind reanalysis data to determine the wind generation potential on the Adriatic coast

University of Split

Flexible

35h / week

English B2

The Copernicus European Regional ReAnalysis (CERRA) data sets provide spatially and temporally consistent historical reconstructions of meteorological variables in the atmosphere and at the surface on single levels for Europe from 1984 to the present, with a spatial resolution of 5.5 x 5.5 km. The data will be used to determine under which synoptic and wind conditions electricity generation in wind farms is highest. Power generation in wind farms will be assessed using publicly available datasets, such as the one available at https://windeurope.org/.

Tasks and duties entrusted to the student:
The Copernicus European Regional ReAnalysis (CERRA) data sets provide spatially and temporally consistent historical reconstructions of meteorological variables in the atmosphere and at the surface on single levels for Europe from 1984 to the present, with a spatial resolution of 5.5 x 5.5 km. The data will be used to determine under which synoptic and wind conditions electricity generation in wind farms is highest. Power generation in wind farms will be assessed using publicly available datasets, such as the one available at https://windeurope.org/.

Skills to be acquired or developed:
Working with Copernicus data, understanding reanalysis products, data analysis, extraction of characteristic synoptic patterns,

Compensation:

Erasmus + grant available depending on eligibility criteria of your home university

Jadranka Sepic
jadranka.sepic@pmfst.hr

https://www.pmfst.unist.hr/?lang=en