EXPECT Project

EXPECT Project

Climate Data and Analytics

Explaining and Predicting Climate Changes and Extremes - Horizon Europe Research Project

About us

Explaining and Predicting Climate Changes & Extremes As we further data science capacity and climate research, EXPECT aims at generating long-lasting scientific and technological advancements that will provide enriching insights for the global climate science community, as well as benefits for society as a whole.

Website
https://expect-project.eu/
Industry
Climate Data and Analytics
Company size
51-200 employees
Type
Partnership

Updates

  • Don't miss the chance to be part of #EGU2025 as the year comes to an end! 🌍 Next April the EXPECT project partners will head to Vienna host a session at EGU: Explaining and Predicting Climate Changes on Regional to Global Scales. Markus Donat, Dim Coumou, Christian Lessig and Antje Weisheimer will explore the attribution and prediction of climate change, both regionally and globally.  Would you like to join them? 📣 Submit your abstract by 15 January 2025, 13:00 CET 🔗 https://bit.ly/3CHALPa   #ClimateScience #ClimatePrediction #AIinClimate #ClimateChange 

    • No alternative text description for this image
  • We're pausing to celebrate... Season’s Greetings and Warm Wishes for 2025! ✨☃️ As the year draws to a close, we wish you a joyful holiday season and a New Year filled with hope, innovation, and climate research for our planet. 🌍

  • Soil moisture is more than just water in the ground – it’s a vital component of climate systems and a cornerstone of climate prediction. Here's why: 💧Climate patterns & weather: Soil moisture regulates the exchange of water and heat between the land and atmosphere, influencing how precipitation either infiltrates the ground or runs off the surface. 🌱Carbon cycle connection: Water availability in soil directly affects vegetation's ability to photosynthesize, pulling carbon from the atmosphere and impacting the global carbon cycle. 🌾Agricultural insight: Soil moisture determines plant water availability, which has critical implications for crop yields and food security. At EXPECT, we’re advancing land surface models to represent soil moisture more accurately. Why❓ Better soil moisture predictions can strengthen our ability to forecast climate extremes and prepare for their impacts. The journey to improved climate resilience begins with understanding the ground beneath our feet. 🔍 Find out what Tristan Quaife at University of Reading has been working on! Read the interview: https://lnkd.in/dj8yMTYi #ClimateChange #SoilMoisture #ClimateScience #DataForResilience #Sustainability #CarbonCycle #Agriculture #ClimatePrediction    

  • It takes a village – or better a whole consortium – to produce #ClimateResearch. Here are the players involved in EXPECT: 🖥️⚙️ Barcelona Supercomputing Center is renowned for its expertise in high-performance computing. With a dream team of multidisciplinary researchers, when it comes to cutting-edge research, they’re in a league of their own. 🌌🔭 Placing itself at the forefront of astrophysics research in Spain and across Europe, Instituto de Astrofísica de Andalucía (IAA-CSIC) has extensive experience in many domains. One of them is middle atmosphere research, focusing on the impact of solar variability on composition and dynamics. 🌍🗣️ ARCTIK - Communication for Sustainability is a Brussels-based public relations, communications and evaluation consultancy, which specialises in European affairs and sustainability, supporting consortium communications and building audience to disseminate projects' results. 💻🔬 Leading the way in advancing supercomputing innovation, in Italy CINECA supports world-class scientific research through advanced supercomputing and by providing a state-of-the-art collaborative environment for the scientific community. 🌡️🖥️ German Climate Computing Center | DKRZ | in Germany is at the forefront of enhancing climate modelling infrastructure through cutting-edge research, development, and applications of supercomputing technologies. 🌦️📡 European Centre for Medium-Range Weather Forecasts is a central partner in the EU's Copernicus programme, providing global, quality-assured climate, atmospheric, and emergency management information while advancing initiatives like the Green Deal and Destination Earth. 🌊☁️ IPMA Instituto Português do Mar e da Atmosfera is Portugal’s National Meteorological Service, overseeing weather and climate monitoring, forecasts, and research in meteorology, climatology, earth observation, and seismology. 📚 🎓 Three leading German academic institutions are actively contributing to the project. With sustainability as a central focus, the University of Hamburg explores the role of the ocean in climate processes. Leipzig University continues to drive scientific advancements, while Heidelberg University is translating research into practical solutions that benefit both society and the economy. 🤖🌪️ A Climate Extremes team made of 15 scientists at Vrije Universiteit Amsterdam (VU Amsterdam) leverages AI to uncover the physics, dynamics, teleconnections, and causal chains of climate extremes, enhancing their predictability. 🌦️🌍 Met Office is UK’s national meteorological service, delivering essential weather insights and leading climate science to support safety and well-being. 📚 🎓 University of Reading is one of the leading centres of the study of meteorology, and the University of Toronto, Canada’s leading research university, unites diverse minds to tackle global challenges and drive transformative innovation. Learn more 🔗https://lnkd.in/ddwyGUTx #HorizonEU

    • No alternative text description for this image
  • 🌍 Today is the Nobel Prize ceremony! Did you know that the 2021 #NobelPrize in Physics recognised groundbreaking work on climate change prediction? Syukuro Manabe, Klaus Hasselmann, and Giorgio Parisi were honoured for their contributions to climate modelling and complex systems. Their work laid the foundation for accurate climate forecasts, helping us understand the dynamics of global warming and its impacts: 🔍 Syukuro Manabe: Pioneered climate models in the 1960s, accurately projecting temperature increases due to CO₂ emissions. 🔍 Klaus Hasselmann: Linked chaotic weather patterns to reliable climate models and developed methods to identify human-driven climate change. 🔍 Giorgio Parisi: Explored chaos in physical systems, enabling better modelling of complex phenomena like climate systems. They join a distinguished group of Nobel laureates addressing climate change: 🌎 The 1995 Chemistry laureates (Molina, Rowland, Crutzen) revealed the science of ozone depletion. 📈 The 2018 Economic Sciences laureate, William Nordhaus, integrated climate change into economic models. 🤝 The 2007 Peace Prize was awarded to the IPCC and Al Gore for raising global awareness of man-made climate change. Their work highlights the vital role of science in understanding and addressing the climate crisis! By building on these foundational contributions, we can develop more effective, evidence-based strategies to mitigate and adapt to climate change: https://expect-project.eu/ #ClimateChange #NobelPrize #Sustainability #ScienceForTheFuture

  • Who are the researchers behind EXPECT? 🎉 We’re excited to launch this new series of interviews, which will give you an inside look at the brilliant minds working in our project. In this first edition, we’ve interviewed Markus Donat, from Barcelona Supercomputing Center, our project coordinator. Interested in his contribution to the project? Check out the full interview! 👉 https://bit.ly/3ZpcPHP #MeetTheResearchers #BehindTheScenes #ClimateScience #ClimateResearch

  • Planning to attend #EGU2025? We’re excited to host a session this year in Vienna focused on Attribution & Prediction of #ClimateChange. If your research aligns with this topic, we’d love to hear from you! Share your work on: 
👉 Attributing drivers of climate phenomena and extremes (e.g., atmospheric circulation, summer surface extremes)
 👉 Evaluating climate responses to forcings and internal variability
 👉 Correcting biased climate models with process-based constraints
 👉 Calibrating climate predictions and projections
👉 Leveraging AI and innovative data analysis techniques Submit your abstract by 15 January 2025, 13:00 CET 🔗 https://bit.ly/3CHALPa Dim Coumou, Christian Lessig, Antje Weisheimer #ClimateScience #ClimatePrediction #AIinClimate #ClimateChange

    • No alternative text description for this image
  • A new month, a new EXPECT publication! Dim Coumou, EXPECT researcher from Vrije Universiteit Amsterdam (VU Amsterdam), has published a new article along with Rei Chemke from Weizmann Institute of Science on Nature Magazine. How are human activities altering the very way our atmosphere moves? 🌍🌪️ The most advanced suite of #ClimateModels have been used in this study to explore the recent tracks of weakening storms. The findings? This weakening is attributable to human emissions: 👉 Anthropogenic emissions have caused faster warming in high latitudes, reducing the poleward temperature gradient. This reduction is directly linked to the weakening of storm activity. 👉 Our models align closely with reanalysis data, boosting confidence in projections of continued storm weakening. Read the article to learn more 🔗 https://lnkd.in/d7TCPfDq #ClimateChange #ClimateScience #GlobalWarming #Research

    • No alternative text description for this image
  • 🚨Calling all climate researchers! EXPECT partners will be hosting a session at the #EGU2025 on Attribution & Prediction of #ClimateChange. The session convened by Markus Donat, Dim Coumou, Christian Lessig, Antje Weisheimer at #EGU2025 will explore the attribution and prediction of climate change, both regionally and globally. If your work touches on these areas, you can pitch in with your abstract! Contributions are welcome on:   👉Attributing drivers of specific climate phenomena and extremes (e.g., atmospheric circulation and surface extremes during the boreal summer)  👉Evaluating climate responses to various forcings and internal variability  👉Correcting biased climate models with process-based constraints  👉Calibrating predictions and projections of future climate  👉Leveraging AI and innovative data analysis techniques  The deadline is 15 January 2025, 13:00 CET. Don’t miss out! 🔗 https://bit.ly/3CHALPa  #ClimateScience #ClimatePrediction #AIinClimate #ClimateChange

    • No alternative text description for this image

Similar pages