Do tropical systems ever fully merge via the Fujiwhara effect? Here's a classic example from 2022 in the Indian Ocean: TC Vernon and Invest 93S.
30.09.2025 17:31 — 👍 4 🔁 1 💬 1 📌 0@bernat-jimenez.bsky.social
Climate Researcher at the Institute of Geociencies, Spanish National Research Council, Spain. Interested in Climate and Weather Dynamics and Prediction. Univ. of Barcelona and ETH Zurich alumni.
Do tropical systems ever fully merge via the Fujiwhara effect? Here's a classic example from 2022 in the Indian Ocean: TC Vernon and Invest 93S.
30.09.2025 17:31 — 👍 4 🔁 1 💬 1 📌 0He hablado con @canalextremadura sobre cómo la IA puede ayudarnos a atribuir olas de calor al cambio climático. 🌍🔥 Una herramienta clave para comunicar de forma más rápida y precisa sus impactos.
26.08.2025 16:57 — 👍 0 🔁 0 💬 0 📌 0¿Eres de los que cree que «siempre ha hecho el mismo calor»? radiopopular.com/?p=237433 via @RadioPopular
14.08.2025 13:02 — 👍 1 🔁 0 💬 0 📌 06) This approach opens the door to operational attribution systems that can assess climate change impacts even before an event unfolds, thereby improving preparedness and response.
More details in the paper: agupubs.onlinelibrary.wiley.com/doi/10.1029/...
5) In every case, human-made climate change made the heatwaves more intense.
We also found that sea surface temperature forcing can modulate the signal in some cases — but atmospheric initial conditions used to perturb the counterfactual forecasts are the main driver.
4) We applied this to 4 major heatwaves worldwide 🌍 using:
• FourCastNet-v2
• Pangu-Weather
• NeuralGCM (AI + physics hybrid)
All three captured key dynamics like persistent high-pressure systems and can predict heawaves accurately 5 days in advance.
3) Our method uses a pseudo–global warming (PGW) framework:
• Run forecasts for today’s climate 🌡️
• Run forecasts for a preindustrial climate 🕰️
Only the thermodynamic initial conditions change — atmospheric circulation at the initial state stays the same.
2) Traditional attribution methods are powerful, but they can take days, weeks and need heavy computing.
Here, we tested a faster route using three state-of-the-art AI models that run in minutes, without supercomputers.
1) 🔥 New research in Earth’s Future!
We show that AI weather prediction models, combined with climate simulations, can be used to estimate the influence of human-made climate change on heatwaves.
👉 tinyurl.com/a5b5ndby
@csic.es @igeociencias.bsky.social
#ClimateChange #AI #Heatwaves
☀️Un método basado en #IA predice el papel del #cambioclimático en las olas de calor
👩💻El modelo del @igeociencias.bsky.social determina la intensidad de estos eventos extremos, días antes de que ocurran
🌏También muestra la influencia del cambio climático en su severidad
➡️http://tiny.cc/b1xq001
Pronósticos meteorológicos basados en inteligencia artificial para acelerar la atribución del cambio climático a las olas de calor.
igeo.ucm-csic.es/pronosticos-...
#IGEOinvestiga
@bernat-jimenez.bsky.social
Encantado de haber participado en esta edición de #GeocienciasEnElCole hablando sobre cambio climático y extremos meteorológicos.
12.06.2025 08:19 — 👍 3 🔁 1 💬 0 📌 0🌀 ¡Explorando los bloqueos atmosféricos! 🌍 Resumen del estudio sobre cómo la alta resolución mejora su simulación, liderado por @paolodeluca.bsky.social en el BSC. #CienciaClimática #Meteorología
28.01.2025 09:42 — 👍 5 🔁 1 💬 0 📌 0El encuentro de dos mareas revela un fascinante fenómeno de interferencia de las olas en el río Qiantang (China).
(autor desconocido)
#C3S Climate Bulletin: what did we observe in November?
🌦️ Western and Central Europe: Below-average precipitation
💧 U.S. and Australia: Wetter-than-average
☀️ South America: Drought in several regions, wetter-than-average in others
All details: climate.copernicus.eu/precipitatio...