This Friday at #OSM26 i’ll be showing some highlights from our recent Science Advances paper (doi.org/10.1126/scia...) on using ML to improve sea ice predictions in coupled models. Come on down if you fancy chatting about hybrid models, emulators, sea ice, or whatever you’re into!

Every paper I have published over the last 5 years has relied on these sea ice data sets. This is a real blow

We have a new @m2lines.bsky.social pre-print which shows how machine learning can be used for state-dependent bias correction to improve global coupled climate model sea ice forecasts - take a look! doi.org/10.48550/arX...

Key snow and ice datasets from @nsidc.bsky.social may no longer be maintained or updated after a loss of support from NOAA. eos.org/research-and...

Postdoc Job Alert at Princeton University / NOAA GFDL puwebp.princeton.edu/AcadHire/app... If you're interested in sea ice modeling and machine learning, then look no further! This job is a great opportunity to be part of the exciting developments happening in the field of hybrid climate modeling

On my way down to DC for #AGU24! If you’re attending, why not check out our very exciting session tomorrow at 08:30 on Machine Learning for subgrid parameterizations and reanalysis! 🌎 Room: Marquis 12-13 agu.confex.com/agu/agu24/me...