Machine Learning in Climate Science

Independent research group led by @bedartha at @uni_tue, within Cluster of Excellence @ml4science

[Machine Learning in Climate Science @MachineClimate]

In this latest paper from our group, we shows how background SST's over the Pacific modulate propagation pathways of extreme rainfall in the Asian Mosoon domain. Excellent work led by @strnad_f involving also @schloer_jakob, @ruth_geen, Niklas Boers and @bedartha

[Nature Communications @NatureComms]

New study by @strnad_f et al. reveals distinct extreme #rainfall propagation modes driven by the Boreal Summer Intraseasonal Oscillation in the Indo-Pacific region that could offer potential for #earlywarnings. @machineclimate https://t.co/RdA1mIZw1I

[Machine Learning in Climate Science @MachineClimate]

News update: @schloer_jakob from our group defended his thesis on "A Data-Driven Perspective on ENSO Diversity" yesterday and has been awarded a Magna cum Laude!

He has now moved on to his new job with the ECMWF in Bonn where he works on DL based S2S weather forecasts. Kudos!

[Bedartha Goswami @bedartha]

I feel extremely proud to announce that @schloer_jakob successfully defended his PhD thesis yesterday and graduated with a Magna cum Laude 😀 What's more, Jakob is _the_ first student I have ever graduated! Congratulations to Jakob and cheers!

[Bedartha Goswami @bedartha]

Really happy to have been invited for the Climate Dialogue series and am looking forward to tomorrow's interaction!

[Climate Change AI @ClimateChangeAI]

Can't make it to #ICLR2024? We've got you covered! We are excited to announce that our full workshop on May 11 will be livestreamed - for free! 🎉🤓

For more info on the program & the link to the livestream, check our website: https://t.co/a8NHpyfBDx

[Ulrike Luxburg @UlrikeLuxburg]

Our exhibition about AI in Tübingen receives the Communicator Award! Thanks to Wiebke Ratzeburg and Guido Szymanska @StadtmuseumTue and to all the students who put so much effort in conceptualizing and creating the exhibition!

[Cyber Valley @Cyber_Valley]

🌍 Harnessing #MachineLearning, Bedartha Goswami and interdisciplinary group
@MachineClimate are revolutionizing monsoon prediction amidst #ClimateChange challenges. Discover their innovative approach: 🌦️📊https://t.co/ZUBr9q38uf @uni_tue

[Priya L. Donti @priyald17]

The @ClimateChangeAI Summer School is back, featuring tons of awesome content and community-building on #AI for #climate action!💃

Registration for the virtual program (Jun-Jul) is now open 📚

Applications for the in-person program (Aug in Montreal) are open until April 14 😎

[Bedartha Goswami @bedartha]

Very happy to have this chance to talk about my "unofficial CV" to people from the Tübingen science community

[Machine Learning in Climate Science @MachineClimate]

So cool to have this feature out for the work being done in our group! Thanks @ml4science for organising this

[Zeynep Akata @zeynepakata]

🚀 Exciting Opportunity Alert! 🚀

🔍 Join us as a Postdoctoral Researcher (fully funded) at the Helmholtz Munich Institute for Explainable Machine Learning and TUM Chair of Interpretable and Reliable Machine Learning! @TU_Muenchen @Helmholtz_Munich @ELLISforEurope

[Science Magazine @ScienceMagazine]

Deforestation of the Amazon may reach a critical point where abrupt declines in rainfall could cause widespread forest dieback, according to a new @ScienceAdvances Focus. https://t.co/pMxslYOBJB

[Munich Center for Machine Learning @MunichCenterML]

📢 Our Call for our fully funded PhD Positions is still open until November 15, 2023! Apply via our Online Application System: https://t.co/lAGH7Ii3dO

We offer several PhD positions in any field of research within the domains of #machinelearning.

#jobs #vacancies #hiring

[Machine Learning in Climate Science @MachineClimate]

Check out @bedartha's interview with https://t.co/WcpOcajxed on climate networks, machine learning, and climate research!
[In German]

[Bedartha Goswami @bedartha]

Excellent work from Jakobout as a preprint. ENSO events can essentially be well-explained with five fuzzy categories. The new-not-new one being the Extreme El Niño, which is an extreme EP event that's different in its dynamics

[Machine Learning in Climate Science @MachineClimate]

@ml4science @arXiv__ml @MLEarthSciences

[Machine Learning in Climate Science @MachineClimate]

Preprint alert! @schloer_jakob uses dimensionality reduction methods (PCA, VAE) with Gaussian mixture models to classify ENSO events into 5 fuzzy groups based on multiple observational datasets & it turns out that extreme EP events form their own category with distinct dynamics!

[Florian Pappenberger @FPappenberger]

Be part of the team - ECMWF is building a world-leading, machine learning based probabilistic weather forecasting system

https://t.co/skW4O07r4K

[Machine Learning in Climate Science @MachineClimate]

Excellent opportunity to be at the forefront of deep learning weather prediction and work with one of the best numerical weather prediction models

[Randy Chase @DopplerChase]

Behold, the final copyedited version of the machine learning tutorial on neural networks is now available for you afternoon reading :) https://t.co/dzYxHfZgF8

[Rochelle Schneider @Dr_RSchneider]

Join @esa #philab as a Research Fellow in #MachineLearning to explore #innovative geo data.

More about our #AI research at #Nature’s Climate and Atmos Science: https://t.co/HcKaI9ZsCo

This opportunity is in collaboration with @ECMWF
Apply until 11th Sept https://t.co/wfH1nSaAqq