Peer Nowack

Machine learning in climate science and atmospheric chemistry. Climate Informatics @KITKarlsruhe. Views are my own.

[Environmental Data Science @EnvDataScience]

Recently published!

Analyzing climate scenarios using dynamic mode decomposition with control

➡️ https://t.co/TrDPE2NoHp

By @NateMankovich, @shbouabid, @NowackPeer,
Deborah Bassotto(@isp_uv_es) and Gustau Camps-Valls

#climate #climateanalysis #datascience #climatemodelling

[Climate Informatics @Climformatics]

[🚨🚨🚨 2 days:] 🔗🚀 Submit to #CI2025 and broaden your network in the #climate informatics world. #Opportunity #DataScience

https://t.co/HIUX6DEIVI

[Climate Informatics @Climformatics]

[7 days:] 🌎 Join #CI2025, the first edition in the Global South! Submit your work and be part of this innovative initiative. #Innovation #Climate

https://t.co/JZI8XQ52Va

[ISP • Image and Signal Processing @isp_uv_es]

Happy to be a co-convener for the "ML for Climate Science" session together with @DWatsonParris, @NowackPeer @PaulaHarder8 & Tom Beucler at #EGU25. We are honored to have @lau_mansfield as a speaker. Looking forward to your abstract submissions.

[Sherrie Wang @sherwang]

Thrilled to unveil our latest work: multi-modal machine learning to forecast localized weather! We construct a graph neural network to learn dynamics at point locations, where typical gridded forecasts miss significant variation.

Paper: https://t.co/bH8xLVd4hH

🧵

[Scott Osprey @sosprey]

Quasi-biennial oscillation: laboratory experiments, Semin and Petrelis, 2024, Comptus Rendu, https://t.co/hcOyksT7cJ

[Peter Watson @PeterAGWatson]

Very happy to share Henry's excellent work applying machine learning to achieve km-scale downscaling of rainfall in climate simulations! It's far cheaper than running km-scale regional models, opening up applications to e.g. studying extreme events in large simulation ensembles.

[Apostolos Voulgarakis @atvoulgarakis]

The masterclass we made with the @AXAResearchFund on the topic of #megafires. A big thank you to @IsabelBergeron, @emcallus, @eloi_astier, Zola Kondamambou and other members of the teams that contributed 🙏🙏
@TUofCrete
@TUC_Chenveng
@centrewildfires
#climatetuc
#masterscience

[Daniel Rothenberg @danrothenberg]

There's a been a lot of great discussion about this figure in the past day - and we should absolutely celebrate the incredible success of numerical weather prediction as a technology. But this figure doesn't tell a complete story. 1/n

[Dr Doug McNeall @dougmcneall]

3 levels of data scientist job in the Earth System and Mitigation Science team at the @metoffice Hadley Centre. Link to apply: https://t.co/w5nUMj93KR

[Laura Mansfield @lau_mansfield]

Check out my new preprint on uncertainty quantification for a machine learning parameterization for gravity waves in a climate model 🌐🌎☁️ https://t.co/XmWJxPGUke

[Dim Coumou @DimCoumou]

📢 📢 📢 Exciting new position! Join our team!
We are hiring an Assistant/Associate #Professor to work on #climatechange, #extremeweather, #atmosphere dynamics and/or carbon cycle. Please spread the word, and DM me if you have any questions.
@VU_IVM, @KNMI
https://t.co/ZjT3vryuPX

[Pierre Gentine @PierreGentine]

Really excited to share our new paper on climate-invariant machine learning https://t.co/t2yg4pxeV3 to solve extrapolation issues under climate change, led by the great Tom Beucler

[KIT-Fakultät für Informatik @KITinformatik]

Ein internationales Forscherteam mit Beteiligung von KIT-Informatikprofessor Peer Nowack hat einen Datensatz entwickelt, um mit Methoden des Maschinellen Lernens schnellere Berechnungen von Klimawandelszenarien zu ermöglichen. #KI #Klima https://t.co/jy9tLyTk5C

[Climate Informatics @Climformatics]

In search of a New Year's Research Resolution? Submit to #CI2024 in London hosted by @turinginst!

📆 Submission Deadline: 2 February
🧑‍🏫 Conference: 22-24 April
📌 Location: London, UK
📚 Fields: Earth + Climate + Weather + ML + AI + Data
🖥️ Website: https://t.co/2Z0mowcFN4

[Peer Nowack @NowackPeer]

If you will attend #EGU24 and you work on #ML for climate science, then our session is for you!👇
Submit by Jan 10th - see you there!

[Copernicus ECMWF @CopernicusECMWF]

The 2023 Southern Hemisphere #ozonehole finally closed on 20 December, becoming the 7th longest-lived in the #CopernicusAtmosphere records. The animation shows the evolution from its early start in August to this late closure. Find out more:
https://t.co/OkXiCxyIGG

[Philip Stier @PhilipStier]

Interested in the response of convection to climate and air pollutions changes in global km-scale models?
We are looking for a post-doctoral researcher in the @HorizonEU project @CleanCloud_HE with collaborators across Europe.
Apply by 31 January:
https://t.co/sFYwwM6S3j

[Tim Osborn @TimOsbornClim]

November updates for global (land+ocean HadCRUT5), global ocean surface (HadSST4) and global land surface air (CRUTEM5) temperature anomalies are now available: https://t.co/ST5hv60tjf
Year-to-date (Jan-Nov) anomalies for 2023 exceed all previous years @ClimateUEA_ @ueaenv

[Peer Nowack @NowackPeer]

New benchmark dataset for climate scientists and machine learners out now in Neurips! A definite read if you are interested in climate model emulation and large-scale data 👇

[Julia Kaltenborn @JuliaKaltenborn]

The ML community has been calling for a large scale climate dataset. In our recent Neurips 2023 publication, we introduce ClimateSet: A
➡️ large-scale
➡️ consistent
➡️ ML-accessible
climate model dataset 🌍. 1/8

https://t.co/lkXBYeUGun

https://t.co/GyNWO7Cm3x