An international consortium improving our understanding and representation of gravity waves in climate models through machine learning and balloon observations
Our new review paper "Machine Learning for Climate Physics and Simulations" with Pedram @turbulentjet, Aditi, Maike, Raffaele & Balaji is online @AnnualReviews 🎉. Beyong accelerating simulations, can ML help us understand climate physics? We highlight the recent progresses & challenges. Share with us your favorite #AI4climate papers!
https://t.co/yfnr6DjB7t
Open-source arxiv version here: https://t.co/CAjwJR463l
Lead PI Aditi Sheshadri sits down with host Russ Altman on The Future of Everything podcast to discuss how new data and techniques are reshaping the future of climate projection. Check it out here: https://t.co/J1DssYSuas @StanfordEng
#ICML2024 ML4ESM workshop spotlight talk by Aman Gupta on Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation. @DataWave_VESRI Link to the paper https://t.co/59pAUfSsdw
Machine learning vs Taylor expansion: Check out our new paper "Learning Closed-Form Equations for Subgrid-Scale Closures From High-Fidelity Data: Promises and Challenges" led by @Jakharkaran + @usernomeTaken@rmojgani1@ashesh6810 https://t.co/c1pCScY8nA @DataWave_VESRI
Excited that our paper on uncertainty quantification of subgrid-scale parameterizations for gravity waves has been published! Work with Aditi Sheshadri funded by @DataWave_VESRI https://t.co/Y1cCZ1Cj4V
📢 Are you an Engineer with an interest in Climate Science?
We're looking to hire an Engineering Lead to steer our highly-specialised RSE team
More information can be found here: https://t.co/o6RwRL9D0e
Closing date 17 May 2024
https://t.co/nyYHt9nWjf
@hpcchris @dorchard
EGU Spotlight: DataWave PIs Claudia Stephan and Ulrich Achatz will be convening a session Tuesday called "Internal Gravity Waves." DataWave ECRs Yanmichel A., Sothea H., Felix J., Ray C., Iman T., and Aman G. will be presenting posters/talks during the session. Stop by!
Check out the new paper on "offline-online learning" of parameterizations for climate/turbulence to address shortcomings of supervised learning led by NWRA scientist Hamid Pahlavan published in @theAGU Geophysical Research Letters: https://t.co/ZAWRYdoI1N #NWRA_papers
A postdoc position is available in the climate dynamics group at Stanford with Aditi Sheshadri. Projects could include gravity waves (https://t.co/XTHjd7tSwf), machine learning parameterizations, etc. Message me or email Aditi if you want to know more: https://t.co/bUGXzBJ0ZO
Check out new research from our Stanford team comparing Bayesian History Matching to Ensemble Kalman Inversion when calibrating a gravity wave parameterization. @HeIsRobKing @lau_mansfield https://t.co/fP6wp5OcTx
Jobs Alert! Check out our website for new atmospheric dynamics positions open for student research assistants, postdocs, and phd students across our different DataWave research groups. Please share! https://t.co/w0nudOS8WN
Our group is moving to The University of Chicago! @UChicago. Excited to expand our work on weather extremes, scientific ML, climate change & turbulence with amazing new colleagues in Geophysical Sciences @GeoSci_UChicago, Computational & Applied Math, AI+Science @DSI_UChicago ...
Our new article about Model Hierarchies for the Climate System is out now! With a special focus on the influence of machine learning/artificial intelligence and climate change impacts https://t.co/ch7mOJYPLT #climate#ML#AI#ClimateModels#ClimateChangeImpacts
Why shouldn’t we just write climate models and machine learning algorithms in the same coding language? In an interview, ICCS software engineer Jack Atkinson talks about the challenges and opportunities in his latest project with @DataWave_VESRI
https://t.co/BJDfTT9DUW
PREPRINT ALERT: Explainable Offline-Online Training of Neural Networks for Parameterizations: A 1D Gravity Wave-QBO Testbed in the Small-data Regime, Pahlavan et al, https://t.co/jkqUqD8EW0 @RiceUniversity
@APS_GPC virtual seminar is back for its 2nd year! Our upcoming speakers @alli_wing , @turbulentjet, and @GeoffVallis will delve into the outstanding questions and challenges in climate physics. Everyone is welcome to join via the registration link in the thread. :D