@@ -57,6 +57,15 @@ in the left-top corner (@fig-pangeo-xarray-tutorial). This will start a JupyterL
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@@ -57,6 +57,15 @@ in the left-top corner (@fig-pangeo-xarray-tutorial). This will start a JupyterL
{#fig-mybinder-xarray-ipynb}
{#fig-mybinder-xarray-ipynb}
# Project topics
* Monthly climatology of PVpot over Europe
* How much area of the European continent would need to be covered with Pv to satisfy satisfy Europe's energy need, and where would the PV be best located?
* Compute the PVpot change between 1950-1959 and 2000-2009, what is the climate change impact on PVpot?
* Can we see the impact of extreme weather events on PVpot? Can we idenfify an example of an extreme event and its impact on PVpot? What is an extreme event in the impact of PVpot?
* If we have time: how does the PVpot estimate change if we had not hourly data but only daily mean data for temperature, radiation and winds? Could we reverse engineer
the short-term fluctuation of weather with ML to correct for the lack of hourly data?