XAIDA

🆕webinar | On January 7, Dominik Schumacher will talk about the ‘Heatwave storylines’ 📅January 7, 2025 ⏰ 2pm (14:00) CET 🔎Details and registration👉xaida.eu/xaida-webinar-13/ Department of Environmental Systems Science (D-USYS), ETH Zürich ETH Zürich CINEA - European Climate, Infrastructure and Environment Executive Agency #heatwave #climatescience #weatherextremes

❗️Today at 10:30am CET, join our webinar on ‘Compound Weather and Climate Events in a Changing Climate’ with Emanuele Bevacqua and Niklas Luther Details and registration👉 https://lnkd.in/e4Dns2yp #climatechange #science #climatescience #weatherextreme #XAIDA Helmholtz Centre for Environmental Research (UFZ) Justus Liebig University Giessen CLINT - Climate Intelligence

❗ We are happy to announce that the joint #XAIDA & CLINT - Climate Intelligence #webinar on Compound Weather and Climate Events #climatechange will occur next week! 📅December 6⏰10:30am CET 🔎Our two speakers: Emanuele Bevacqua and Niklas Luther Luther (JLU) Details & registration👉 https://lnkd.in/e4Dns2yp Helmholtz Centre for Environmental Research (UFZ), Justus-Liebig-Universität Giessen, CINEA - European Climate, Infrastructure and Environment Executive Agency

❗️Do not forget today at 10:30Am CET Paula Gonzalez is talking about ‘Forecasting yearly record probabilities from historical measurements’ 🔎Details and registration👉https://lnkd.in/eDs6dzRv Laboratoire des Sciences du Climat et de l'Environnement IPSL-Institut Pierre-Simon Laplace

Unraveling #compound events and #climate #impacts Do not miss our upcoming #webinar with XAIDA 📆December 6th, 10:30 AM With Emanuele Bevacqua Helmholtz Centre for Environmental Research (UFZ) and Niklas Luther Justus-Liebig-Universität Giessen https://lnkd.in/dgaCzzJS

📣 Only 1⃣ week to go until our first Online Workshop❗️ Are you interested in finding out how #EarthObservation data, #AI and #MachineLearning technologies can help anticipate or mitigate the impacts of #ClimateChange? ⬇️Check the agenda and register by 20 November to join us in the first workshop of the #CENTAUR #HorizonEurope project https://lnkd.in/djumj9S9

🆕webinar | Next week, Paula Gonzalez Gonzalez is talking about ‘Forecasting yearly record probabilities from historical measurements’ 📅November 28 ⏰ 10:30am CET 🔎Details and registration👉https://lnkd.in/eDs6dzRv Laboratoire des Sciences du Climat et de l'Environnement IPSL-Institut Pierre-Simon Laplace

Data released today by Copernicus ECMWF shows that: 🌡️ It is now virtually certain that 2024 will be the warmest year on record. it is also virtually certain that the annual temperature for 2024 from ERA5 will be more than 1.5°C above the pre-industrial level, and likely that it will be more than 1.55°C above. 📈 October 2024 was the second-warmest October globally, after October 2023 and 1.65°C above the pre-industrial level 🌡️ The year-to-date (January–October 2024) global-average temperature anomaly is 0.71°C above the 1991-2020 average, which is the highest on record for this period and 0.16°C warmer than the same period in 2023 ⏰ This marks a new milestone in global temperature records and should serve as a catalyst to raise ambition for the upcoming Climate Change Conference, #COP29 #ClimateAction #ClimateCrisis

📽️Watch our last webinar session online! Fiona Spuler talked about 'Identifying probabilistic weather regimes targeted to a local-scale impact variable based on a modified variational autoencoder architecture' Details👉https://lnkd.in/efw4sTCP 👇 https://lnkd.in/ePbxxBsy

🆕Paper | Formally combining different lines of evidence in extreme-event attribution "Event attribution methods are increasingly routinely used to assess the role of #climatechange in individual weather events. In order to draw robust conclusions about whether changes observed in the real world can be attributed to anthropogenic climate change, it is necessary to analyse trends in observations alongside those in climate models, where the factors driving changes in weather patterns are known. Here we present a quantitative statistical synthesis method, developed over 8 years of conducting rapid probabilistic event attribution studies, to combine quantitative attribution results from multi-model ensembles and other, qualitative, lines of evidence in a single framework to draw quantitative conclusions about the overarching role of human-induced climate change in individual weather events." 📰ASCMO (Copernicus.org) 👏Otto FEL, Clair Barnes, Sjoukje Philip, Sarah Kew, van Oldenborgh GL, Robert Vautard 🔎https://lnkd.in/ebmBmjN8 #attributionscience #climatescience #extremeweatherevents Grantham Research Institute on Climate Change & the Environment Imperial College London KNMI - Royal Netherlands Meteorological Institute IPSL-Institut Pierre-Simon Laplace Laboratoire des Sciences du Climat et de l'Environnement