🌍 Can we predict atmospheric CO₂ growth?
Using 6 Earth System prediction systems with an interactive carbon cycle, we show:
• Useful predictions of atmospheric CO₂ growth and air-land CO₂ fluxes for up to 2 years
• Air–sea CO₂ fluxes are predictable for a longer time, up to 5 years
• Predictability partly linked to ENSO — but not exclusively
An important step toward early warnings for carbon cycle shifts and climate extremes.
La mission révolutionnaire PREFIRE a été prolongée jusqu'en 2026. Deux satellites CubeSat avancés étendront désormais l'observation des pôles au monde entier, fournissant des données clés sur l'énergie terrestre.
🌍 Call for Abstracts – Deadline Extended to 31 July 2025!
📢 The workshop on Climate Predictability & Integrated Attribution — co-organized by #MPIM_scientists Lara Wallberg & Wolfgang Müller — invites your contributions!
🔍 Topics: climate variability, predictability, #extremes, #AI/#ML methods & more.
💡 Organized by ASPECT, EXPECT, I4C & WCRP.
📄 Submit now: https://www.upcliv-workshop.eu
#ClimateScience #ClimatePrediction #ClimateExtremes #ScienceCollaboration
Phd-student Edson Silva at the Nansen Environmental and Remote Sensing Center is talking with our host Stephen Outten, Senior researcher at the Nansen center, about one of the newest tools in our predicting arsenal, an algae bloom predictor. Trained on the coast of north Norway, it can be a great support for managing our costs, but it can be retrained for usage anywhere. Support and editing by Ingjald Pilskog, associate professor at Western Norway University of Applied Sciences.
Weather in the United States, Canada and Europe is expected to be under the influence of an El Nino event later in the year, including Winter
Since I joined before the burst, here's a more proper #introduction.
I am a climate scientist and professor at Texas A&M University. I am interested in the philosophy and practice of climate modeling. I have written a general interest book on climate prediction and I blog occasionally at Metamodel.blog
As George Box said, all models are wrong, but some are useful. It is only by studying how models go wrong can one determine which are the most useful.
AI4PEX
💧🌏 Greg Cocks
AlcorNews
coucou
MPI für Meteorologie
Bjerknessenteret BCCR
R Saravanan