sasip-climate
@sasipclimate
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The Scale-Aware Sea Ice Project aims at developping an innovative sea ice model for climate research.
Joined March 2021
We interviewed Aurélien Rigotti from @CNRS about his PhD research on granular sea ice in the Arctic, as part of the SASIP project. How could this improve sea ice modeling? ❄️🌍 👉 #neXtSIM #SeaIce #ArcticResearch #IceModeling
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It's tomorrow! Still time to register:
🌊❄️January webinar! 📅 Wednesday, January 22 ⏰4 pm CET "Mapping wave-driven ocean surface mixing in the Arctic using a coupled wave-sea ice model framework", by Aikaterini Tavri (@Polar_scholar) from @BrownUniversity. 🔗Abstract and registration here:
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🌊❄️January webinar! 📅 Wednesday, January 22 ⏰4 pm CET "Mapping wave-driven ocean surface mixing in the Arctic using a coupled wave-sea ice model framework", by Aikaterini Tavri (@Polar_scholar) from @BrownUniversity. 🔗Abstract and registration here:
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The SASIP December Newsletter is out📬This month features a special AGU edition, plus all the details on our December webinar! Don’t miss out!🌍 👉 Subscribe and stay updated: #AGU24 #SeaIce #neXtSIM
@PierreRampal
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Don't miss the next SASIP webinar on Tuesday, November 26, 1PM CET 👇
🌊🔬SASIP November Webinar! Join us on Nov 26, 1 PM CET for a deep dive into ocean stratification with Romain Caneill! He’ll explore the role of surface buoyancy fluxes & thermal expansion in shaping the upper ocean. 👉 More info and registration here:
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🌊🔬SASIP November Webinar! Join us on Nov 26, 1 PM CET for a deep dive into ocean stratification with Romain Caneill! He’ll explore the role of surface buoyancy fluxes & thermal expansion in shaping the upper ocean. 👉 More info and registration here:
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✨The November edition of SASIP newsletter is out: Check out new papers and preprint, news and meet our new team members! 👉 Subscribe now! 📬
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🚨New article!🚨 Ivo Pasmans and colleagues investigate ocean circulation changes through the lens of #DataAssimilation using a reduced-order model. 👉
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Thrilled to share our latest interview with Charlotte Durand, PhD student from SASIP! 🎓. Using #DeepLearning, she explored the potential of neural networks to emulate the complex #SeaIce model #neXtSIM 🤖❄️. 👉 #SeaIceModeling #ClimateScience 🌍
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🗞️SASIP October newsletter is out ! Check out our latest news on #DataAssimilation, #DeepLearning and #GPUs 👉 Subscribe and stay in the loop: #neXtSIM_DG @PierreRampal
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RT @SimonDriscoll_: Excited to be given a talk on some of our work at #AGU24 - entitled "An observational emulator of melt ponds on Arctic…
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RT @RenatoBraghiere: This brought together an impressive array of projects like @Lemontree_UofR, @M2LInES & @sasipclimate, fostering collab…
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SASIP September newsletter is out: Amazing new articles by @SamuelDBrenner, @PierreRampal and more ! Check it out 👉 💫subscribe and stay updated :
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Thrilled to share this new article by Laurent Brodeau, @PierreRampal et al. showing the impact of the implementation of the BBM rheology into the #SeaIce component of #NEMO on the simulated deformation of sea ice in the #Arctic 👉 #neXtSIM_DG
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New great preprint submitted by Yue Ying from @Nansensenteret: "Introducing NEDAS: a Light-weight and Scalable Python Solution for Ensemble Data Assimilation"
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🗞️SASIP July newsletter is out! This month, some news from our annual meeting, a new article by @tobias_finn, a job offer to work at CECI/CERFACES (@CerfacsOfficial) and even more! 👉
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In their new paper, @tobias_finn et al. show that the popular latent diffusion models reintroduce problems with smoothing into the data generation while they allow to easily incorporate physical bounds. 👉
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