@marleneclimate.bsky.social
Group homepage: https://lim-climate-causality.github.io
Shifts in the atmosphere’s circulation patterns are reshaping the Southern Hemisphere’s climate. 🌏
@jumindlin.bsky.social & @marleneclimate.bsky.social (@unileipzig.bsky.social, @meteoleipzig.bsky.social) contributed to a study on the drivers of these changes.
🔗 expect-project.eu/resource/exp...
Check out our new PNAS paper (on changes of the SH eddy driven jet) led by Julia Mindlin 🌎🌍🌏
15.07.2025 15:40 — 👍 7 🔁 0 💬 0 📌 0
The methodology of our forecast is documented here:
wcd.copernicus.org/articles/1/3...
@marleneclimate.bsky.social @carlschleussner.bsky.social @TobiasGeiger
"Using causal networks to constrain regional drought projections" by Marina Friedel
session CL3.1.1 - Synoptic and Large-Scale Circulation Dynamics: Impacts on Regional Extremes, Climate Variability, and Change, room 0.14 on Friday, 14:32
"Disentangling reduced representations of teleconnections using variational autoencoders" by Fiona Spuler
session CL4.15 - Unravelling Climate Variability and Teleconnections Across Timescales, room 0.14 on Friday, 10:05
"Subseasonal and seasonal windows of forecast opportunity of extreme European winter weather"
by Fiona Spuler
session AS1.7 - Subseasonal-to-Seasonal Prediction, Processes and Applications, room 0.11/12 on Thursday, 09:00
"A Forensic Investigation of Climate Model Biases in Teleconnections: The Case of the Relationship BetweenENSO and the Northern Stratospheric Polar Vortex" by Xiaocen Shen
poster Hall X5 at board number X5.187. Thursday, 10:45-12:30.
"StoryPy: A Python-based package to compute climate storylines" by Richard Alawode et al.
poster Hall X5 at board number X5.188. Thursday, 10:45-12:30.
"Causal Pathways connecting Indian summer monsoon to the Arctic sea ice decline" by Sujata kulkarni
session CL2.6 - Climate variability and extremes through ocean, atmosphere and ice interactions: from model simulations to long time series observations, room 0.49/50 on Wednesday, 14:15
"High energy shortfall across 28 European countries during the winter: Investigation of the role of the Madden-Julian Oscillation and stratospheric polar vortex"
by Emmanuel Rouges
session ERE2.1 - Energy Meteorology, room -2.41/42 on Tuesday, 09:55:
"Combining spatio-temporal neural networks with mechanistic interpretability to investigate teleconnections in S2S forecasts" by Philine Bommer;
session ITS1.1/CL0.9 - Machine Learning for Climate Science, room C on Tuesday, 09:50:
"Quantifying the influence of Barents-Kara Sea ice loss on Ural blocking" by Ernest Agyemang-Oko;
poster Hall X5 at board number X5.73. Monday, 10:45-12:30.
EGU-FOMO? Here's a little thread with contributions from my group:
28.04.2025 06:12 — 👍 1 🔁 0 💬 1 📌 0Can we predict euro weather regimes on S2S timescales with machine learning?
When including spatiotemporal information of stratospheric winds and tropical olr, our model shows competitive skill 👇
According to recent @wcrpclimate.bsky.social research, some regional shifts—like amplified Arctic warming—match predictions. However, climate model ensembles do not well simulate others, such as tropical sea surface temperatures and monsoon rainfall. Why?
12.02.2025 09:46 — 👍 12 🔁 6 💬 2 📌 0We discuss 4 challenges, posing a high risk-high gain situation for ECRs: 1) working with impact scientists, 2) analysing big climate data, 3) applying machine learning, 4) engaging with stakeholders
Hope you enjoy reading it 👩💻🧑💻
Late to the party, but I also want to promote this new paper which will hopefully spark discussions in the conmunity: "A shifiting climate: New paradigms and challenges for (early career) scientists in extreme weather research"
rmets.onlinelibrary.wiley.com/doi/10.1002/...
Join us @UniLeipzig!
Three open positions in the climate causality research group (phd, postdoc, data scientist) on drivers of extreme events ❄️🌡🌧
Details here: speicherwolke.uni-leipzig.de/index.php/s/...
