*insanely* cool work presented by @OceanIceEU scientist Romain Millan

Sub-shelf bathymetry across #Antarctica derived from an inversion of #satellite data - including considerably deeper than #BedMachine

#Opendata will be released soon for #glaciology + other applications!

This was apparently also done by Romain, Mirko Scheinert at TU Dresden and an MSc student - who I would very much like to hire for a Phd...

#ClimateCoffee

I think it's a really nice example of how you can combine very diverse datasets, which at first might not seem to have much to do with each other, to get a deep understanding of a key process. First, @agrinsted used a published database of crevasses based on a satellite DEM over the Arctic (#ArcticDEM), combined this with temperatures from the new very high resolution regional #Climate reanalysis (#CARRA), plus ice thickness data from #BedMachine + #IceVelocity data from many many #satellites