Peer Nowack

Recently published! Analyzing climate scenarios using dynamic mode decomposition with control ➡️ bit.ly/41pNej8 By @NateMankovich, @shbouabid, @NowackPeer, Deborah Bassotto(@isp_uv_es) and Gustau Camps-Valls #climate #climateanalysis #datascience #climatemodelling

[🚨🚨🚨 2 days:] 🔗🚀 Submit to #CI2025 and broaden your network in the #climate informatics world. #Opportunity #DataScience 2025.climateinformatics.com.br

[7 days:] 🌎 Join #CI2025, the first edition in the Global South! Submit your work and be part of this innovative initiative. #Innovation #Climate 2025.climateinformatics.com.br

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.

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: arxiv.org/abs/2410.12938 🧵

Quasi-biennial oscillation: laboratory experiments, Semin and Petrelis, 2024, Comptus Rendu, doi.org/10.5802/crphys…

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.

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

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

3 levels of data scientist job in the Earth System and Mitigation Science team at the @metoffice Hadley Centre. Link to apply: metoffice.gov.uk/about-us/caree…

Check out my new preprint on uncertainty quantification for a machine learning parameterization for gravity waves in a climate model 🌐🌎☁️ doi.org/10.22541/essoa…

📢 📢 📢 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 workingat.vu.nl/vacancies/assi…

Really excited to share our new paper on climate-invariant machine learning science.org/doi/10.1126/sc… to solve extrapolation issues under climate change, led by the great Tom Beucler

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 informatik.kit.edu/11147_13543.php

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: alan-turing-institute.github.io/climate-inform…

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!

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: atmosphere.copernicus.eu/large-and-pers…

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: my.corehr.com/pls/uoxrecruit…

November updates for global (land+ocean HadCRUT5), global ocean surface (HadSST4) and global land surface air (CRUTEM5) temperature anomalies are now available: crudata.uea.ac.uk/cru/data/tempe… Year-to-date (Jan-Nov) anomalies for 2023 exceed all previous years @ClimateUEA_ @ueaenv

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 👇