Machine learning in climate science and atmospheric chemistry. Climate Informatics @KITKarlsruhe. Views are my own.
Karlsruhe, Baden-Württemberg
Joined January 2020
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Peer Nowack retweeted
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
Peer Nowack retweeted
[🚨🚨🚨 2 days:] 🔗🚀 Submit to #CI2025 and broaden your network in the #climate informatics world. #Opportunity #DataScience
2025.climateinformatics.com.…
Peer Nowack retweeted
[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.…
Peer Nowack retweeted
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.
Peer Nowack retweeted
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
🧵
Peer Nowack retweeted
Quasi-biennial oscillation: laboratory experiments, Semin and Petrelis, 2024, Comptus Rendu, doi.org/10.5802/crphys.195
Peer Nowack retweeted
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.
Excited to announce a pre-print of my first paper as part of my PhD at @BristolUni! We’ve created a generative ML emulator of a UK convection-permitting climate model (CPM). It’s able to produce simulations of high-res precipitation at far lower computational cost.
Peer Nowack retweeted
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
🔥Are you ready for the battle against megafires? 🔥
Wildfires are becoming more frequent and more catastrophic.
Discover our new masterclass by Pr. @atvoulgarakis @AXA Chair in Wildfires and Climate at @tuc_chania
➡️youtube.com/playlist?list=PL…
Peer Nowack retweeted
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
Peer Nowack retweeted
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/ca…
Peer Nowack retweeted
Check out my new preprint on uncertainty quantification for a machine learning parameterization for gravity waves in a climate model 🌐🌎☁️ doi.org/10.22541/essoar.1709…
Peer Nowack retweeted
📢 📢 📢 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/as…
Peer Nowack retweeted
Really excited to share our new paper on climate-invariant machine learning science.org/doi/10.1126/scia… to solve extrapolation issues under climate change, led by the great Tom Beucler
Peer Nowack retweeted
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_135…
Peer Nowack retweeted
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…
Peer Nowack retweeted
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/lar…
Peer Nowack retweeted
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…
Peer Nowack retweeted
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/t…
Year-to-date (Jan-Nov) anomalies for 2023 exceed all previous years @ClimateUEA_ @ueaenv
ALT Three global temperature anomaly timeseries, top for the full global (land+ocean) temperature anomaly from HadCRUT5, middle for the global ocean surface temperature anomaly from HadSST4, and bottom for the global land surface air temperature anomaly from CRUTEM5.
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 👇
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
arxiv.org/abs/2311.03721
climateset.github.io
