Jonas Hörsch

Neither am I, but what I mean is: Look through all neighbouring grid cells (probably only direct neighbours) and use the one where the hydrobasins estimated upstream area is similar...

Estimation of upstream area using `hydrobasins` would work something like: ``` gpd.sjoin(powerplants, hydrobasins[['UP_AREA', 'geometry']], how='left', op='within').rename(columns={'UP_AREA': 'estim_area'}) ``` A test with the reported upstream areas for the German stations in...

Anyway, since the link to `upArea.nc` the [EFAS available data](https://confluence.ecmwf.int/display/COPSRV/EFAS+available+data) page is still dead, it makes sense to reach out to them, anyway. Would you mind doing that, Matteo?

It seems, your email was received, since the wiki page has just now been updated with a note, that the upstream area is provided as an extra variable in the...

I think, I'd add the hub in the base_network close to the call to `_add_links_from_tyndp`. Don't let yourself be distracted by the clustering, it will *not* affect any `links` (DC),...

I have not worked with the dataset either, so i am not of much more help.

To make head-way on this task, it's probably most instructive to start from the gist I prepared just now: https://gist.github.com/coroa/c183501bc400855e584df4f250186c3c

Refer also to discussion in https://github.com/PyPSA/pypsa-eur/pull/14#issuecomment-465696754.

To make some headway here, there are 4 steps this entails: 1. Getting the raw geojson data from their new mapbox endpoint 2. Importing them into a postgres database with...

I'd suggest using plotly express functions: https://plotly.com/python/plotly-express/ . (Although i must admit i am unfamiliar with hv).