Machine Learning Emulation to accelerate Climate Science | The European Weather Cloud The ChallengeThe Greenland ice sheet is a critical component of Earth's climat

Proud PhD supervisor moment: @eumetsat.int have nice write upof Elke Schlager's brilliant work, (now a preprint in #egusphere) on how we can use #MachineLearning methods to emulate #Greenland ice sheet melt via European Weather Cloud computing
europeanweather.cloud/use-cases/ma...
❄️🥼🧪⚒️⛏️🌊

Brief communication: Intercomparison study reveals pathways for improving the representation of sea-ice biogeochemistry in models Abstract. Sea-ice biogeochemical models are key to understanding polar marine ecosystems. We present an intercomparison of six one-dimensional sea-ice biogeochemical models, assessing their ability to...

🚨 New preprint 🚨

We compare 6 sea-ice biogeochem models vs. data 📊

Biomass: tunable ✅
Nutrients: still tricky ❌

Read more on #EGUsphere → doi.org/10.5194/egus...

🙏 all co-authors & @bepsiiseaice.bsky.social for supporting this study!

#SeaIce #PolarScience #Biogeochemistry #Modeling #EGUsphere

Happy to share that our preprint is published on EGUsphere:
"Constraining a Radiative Transfer Model with Satellite Retrievals: Implications for Cirrus Cloud Thinning"
doi.org/10.5194/egus...

#Cirrus #Cloud #Aerosol #EGUsphere #ACP #RemoteSensing #RadiativeTransfer
@driscience.bsky.social

Happy to share that our manuscript is now available on EGUsphere! We introduce a novel approach to identify a reduced number of representative cases from various observed environmental conditions in the Northeast Pacific.
#egusphere #ACP #aerosol #cloud #Lagrangian #LES

doi.org/10.5194/egus...