DataWave

An international consortium improving our understanding and representation of gravity waves in climate models through machine learning and balloon observations

[Yao Lai @chingyaolai]

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

[DataWave @DataWave_VESRI]

AGU week has begun! Find DataWave members and others in @schmidtsciences present throughout the week on this schedule: https://t.co/bgP2RZRIvb

[DataWave @DataWave_VESRI]

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

[DataWave @DataWave_VESRI]

Congrats to DataWave PhD student Karan Jakhar! Go check out his paper.

[Karan Jakhar @Jakharkaran]

Thrilled! Our paper is featured as editor's highlight. "Learning Closed-Form Equations for Subgrid-Scale Closures From High-Fidelity Data: Promises and Challenges"
https://t.co/YVtLefJomD
@turbulentjet @ashesh6810 @rmojgani1 @usernomeTaken
@DataWave_VESRI @SchmidtFutures

[ml4esmworkshop @ml4esmworkshop]

#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

[Pedram Hassanzadeh @turbulentjet]

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

[Laura Mansfield @lau_mansfield]

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

[Institute of Computing for Climate Science @Cambridge_ICCS]

📢 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

[DataWave @DataWave_VESRI]

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!

[NorthWest Research Associates @NWRA_science]

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

[DataWave @DataWave_VESRI]

Job Alert! Visit https://t.co/w0nudOS8WN to learn about a new postdoc position at Stanford. Share with anyone interested!

[Laura Mansfield @lau_mansfield]

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

[DataWave @DataWave_VESRI]

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

[DataWave @DataWave_VESRI]

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

[DataWave @DataWave_VESRI]

AGU '23 is all wrapped up! We had a great week full of DataWave posters, talks and sessions. Read more about it on our blog https://t.co/CwqnRSTaX6

[DataWave @DataWave_VESRI]

Congrats to DataWave PI Pedram Hassanzadeh for his new role at U. Chicago!

[Pedram Hassanzadeh @turbulentjet]

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 ...

[Laura Mansfield @lau_mansfield]

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

[Institute of Computing for Climate Science @Cambridge_ICCS]

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

[Scott Osprey @sosprey]

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

[DataWave @DataWave_VESRI]

Interesting seminar coming up featuring our PI Pedram Hassanzadeh!

[Yao Lai @chingyaolai]

@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

[LEAP-STC @LeapStc]

LEAP welcomes @Jakharkaran to our ML Journal Club tomorrow!

Tune in THURSDAY, 8/31 @ 3:30pm (EDT): https://t.co/nBKOYD5lly

#climate #physics #ML #AI #climateadaptation

@Columbia @columbiaclimate @CUSEAS @NSF @RiceUniversity