ESM2025 - H2020 project

🌍 "Earth System & Integrated Assessment Models currently operate independently". 💡What are we doing to change that? 1️⃣ Enhancing the internal consistency of the ESM-IAM modelling framework. 2️⃣ Enabling ESMs to operate on an emission-driven basis rather than concentration-driven. This transition marks a significant step toward improving the overall consistency of the ‘climate stream’ and achieving a ‘closed loop’ in the ESM-IAM framework. This has profound implications for climate policy. 🔍 Here’s how: 1️⃣ More accurate risk evaluation: We’re improving how we assess land-use strategies like afforestation and BECCS (Bioenergy with Carbon Capture & Storage) and the capacity of land sinks for carbon removal. 2️⃣ Better understanding of the land carbon cycle: By enhancing the treatment of the land carbon cycle, we’re able to offer more robust pathways for land-based mitigation that fully account for uncertainties. 3️⃣ New emission-driven capabilities in ESMs: This will provide deeper insights into carbon cycle uncertainties and their implications for actionable policies—helping us understand the challenges ahead more clearly. Learn more about these advancements: bit.ly/RH_ESM-IAM #ESM2025research #ClimateResearch #CarbonMitigation #PolicyImpacts

🧗 Calling all Early Career Researchers! Your insights are essential. Are you an ECR in the climate science/geosciences fields? We want to hear from you! Your feedback will help us shape more relevant and effective support for ECRs in EU projects. Take a few minutes to share your perspective and needs. 📋 Survey Link: bit.ly/surveyECR Let’s ensure ECR voices are heard! #YESS2Science #EarlyCareerScientists #ClimateResearchNet

🌍💡 Tackling a major challenge in climate modelling: inconsistent treatment of uncertainties throughout the model chain between Earth System Models (ESMs) and Integrated Assessment Models (IAMs). At #ESM2025, we’re addressing these issues by improving how uncertainties in climate outputs affect mitigation outputs—making the entire framework more consistent. 🔍 How are we doing this? 1️⃣ Improving Global Mean Temperature (GMT) targets: We're enhancing the way temperature targets are passed from the MAGICC climate model to the REMIND IAM (@PIK_Climate). Previously, carbon budgets were set externally, introducing extra uncertainties. Now, we're streamlining this process, making it more accurate. 2️⃣ Aligning temperature calculations: By fine-tuning MAGICC to better reflect ESM temperature uncertainties, we’re improving how REMIND receives temperature targets, leading to a more cohesive integration of uncertainties. 3️⃣ Addressing land stream carbon cycle uncertainties: These uncertainties impact land-based mitigation strategies like afforestation and BECCS. We're calibrating MAGICC’s carbon cycle parameters directly with ESM simulations, ensuring advances in carbon cycle modelling are fully integrated. 4️⃣ Enhancing land-use modelling: Instead of relying on external models, we’re incorporating carbon stocks and bioenergy yields directly from ESMs’ Land-Surface Models (LSMs). This provides a more consistent representation of land-use impacts. 5️⃣ ‘Closing the loop’ of carbon cycle info: We're establishing a direct flow of carbon sink data from MAgPIE to MAGICC, ensuring that land-use information is consistently passed through the entire model chain. 🚀 Finally, a significant goal is enabling ESMs to operate on an emission-driven basis instead of concentration-driven. This marks a major advancement for the climate stream, bringing us closer to a fully integrated ESM-IAM framework. Learn more about these advancements and how they are shaping climate research: bit.ly/RH_ESM-IAM #ClimateResearchNet #ClimateModeling #ESM2025research

🌍 Advancing Climate Modelling We’re advancing #ClimateModelling by bridging the gap between Earth System Models (ESMs) and Integrated Assessment Models (IAMs). This work is crucial for a fuller understanding of the human-Earth system. 🔗 Check out our latest Research Highlight: bit.ly/RH_ESM-IAM 👥 With researchers: Gabriel Abrahão, researcher at PIK - Potsdam Institute for Climate Impact Research, Thomas Gasser, researcher at International Institute for Applied Systems Analysis (IIASA), and Benjamin Sanderson, researcher at CICERO - Center for International Climate Research #ESM2025research #ClimateResearchNet #EarthSystemModels

Breaking silos in climate research! We’re connecting Earth system and Integrated assessment models, aiming for a fuller understanding of the human-Earth system. 🌍 Learn more in our latest Research Highlight: bit.ly/RH_ESM-IA #ESM2025research

☕ Don't forget tomorrow's #ClimateCoffee on AI for Urban Climate ☕ Register here: https://lnkd.in/eg5-J-ag When: 17 October 2024, 10:00 - 10:40 CEST Where: Online

Physical Inconsistencies in Climate Modelling: How better linking ESMs and IAMs Can Improve Climate Scenario Generation 🌍 Have you heard of physical inconsistencies in our state-of-the-art climate modelling chain? This chain, used in assessments like those from the IPCC, depends on a consistent flow of information between Earth System Models (ESMs) and Integrated Assessment Models (IAMs). However, gaps in the information flow between these models still pose challenges in accurately predicting climate outcomes. 🌐 In the current framework, ESMs simulate the Earth's physical and biological systems, while IAMs focus on socio-economic factors and mitigation strategies. But even in the most advanced frameworks, these two types of models operate largely independently, with no closed-loop feedbacks between them. This disconnect creates two largely independent information streams: 1️⃣ The Climate Stream translates emissions into GHG concentrations for climate projections. 2️⃣ The Land Stream handles land-use and carbon cycle feedbacks, crucial for understanding land-based mitigation strategies. 🌀 What does this mean for climate modelling? 🌡️ In the Climate Stream, IAMs generate greenhouse gas (GHG) emission scenarios, while Simple Climate Models (SCMs) translate those emissions into GHG concentrations, which are then used as inputs for ESMs. However, IAMs don't fully integrate the uncertainties from ESM outputs—such as global mean temperature (GMT)—into their techno-economic dynamics, limiting their ability to provide comprehensive projections. 🌱 In the Land Stream, ESMs provide key data like temperature, precipitation, and CO2 concentrations, which inform models of crop yields, carbon density, and water availability. Yet, the RCPs (Representative Concentration Pathways) used here are from a previous generation compared to the Climate Stream, leading to inconsistencies in land-use and land-based mitigation strategies assessments. 🔄 Why is this important? By improving the integration between these streams, we can enhance our understanding of how human and natural systems will respond to different climate futures. Strengthening the collaboration between ESM and IAM communities is crucial for moving towards a more comprehensive, accurate picture of climate change and mitigation pathways, especially those including land-based strategies. 💡 The ESM2025 project is at the forefront of bridging these gaps. With contributions from ESMs ICON, CNRM-ESM, IPSL-CM, UKESM, NorESM, and REMIND-MAGPIE IAM, we’re working to ensure that the latest advances in both ESMs and IAMs are reflected in a more robust climate modelling chain. 👉 Curious to learn more about how we’re advancing this climate modelling framework? Check out the full details here: bit.ly/RH_ESM-IAM #ESM2025research #EarthSystemModels #IntegratedAssessmentModels #ESM2025 #ClimateResearch #ClimateScience

🌊 Next week we TipESM will co-host an online session at the Ocean Best Practices System Workshop on "Ocean-Climate Nexus – Importance of Ocean Observing for Tipping Points", together with ObsSea4Clim, ClimTip, and OCEAN:ICE. ✔ Register now! https://lnkd.in/dUrFRrFT 📅 October 17th 15:00-16:30 CEST 💻 Fully online We'll discuss the importance of international #science #collaboration and the use of experiment #protocols jointly agreed upon by the community. #tippingpoints #oceanscience #climatescience #EUHorizon

Postdoc or PhD Position at PIK - Machine Learning for Earth system modelling A new 2-year Postdoc (or 3-year PhD position) in the field of hybrid Earth system modelling available at the PIK - Potsdam Institute for Climate Impact Research. The position is funded via the #HorizonEurope project “Past to Future: Towards fully paleo-informed future climate projections”. This large EU project with 24 partners aims to advance Earth system models with regard to improved reproduction of climate variability as evidenced in paleoclimate proxy archives, including model re-calibrations and development of new, efficient model components also using machine learning approaches. Deadline 31 October 2024! Please see below for details https://lnkd.in/d2KC8zt6

Exciting Career Opportunities! 🌍 The #Adaptation in #AgriculturalSystems group at PIK - Potsdam Institute for Climate Impact Research is hiring for two open positions: #Postdoc on #ClimateScience & #ProjectCoordinator Join us in working with governments, research institutes, and organizations across Sub-Saharan Africa, Asia, and Latin America to develop climate services that help farmers adapt to climate change. Collaborate closely with a multidisciplinary team to ensure our research creates real-world impact and stabilizes agricultural production for smallholder farmers. Apply now to be part of a team transforming research into action! Project Coordinator (m/f/d)  https://lnkd.in/d9ghzny8 Postdoctoral Position on Climate Science (m/f/d) https://lnkd.in/drJMt-mC