Description du projet
Quantifier la sensibilité du carbone du pergélisol au changement climatique dans l’Arctique
Puisqu’il stocke de grandes quantités de carbone, le pergélisol arctique est un élément essentiel du système climatique mondial. L’hydrologie, la topographie et la biologie sont trois facteurs clés qui contrôlent les rétroactions entre le carbone du pergélisol arctique et le changement climatique. Le projet Q-ARCTIC, financé par le CER, produira une synthèse sans précédent, basée sur les processus, de la sensibilité actuelle et passée du carbone du pergélisol et des projections de la durabilité du pergélisol dans le cadre de scénarios futurs axés sur des changements brusques. Ces recherches innovantes s’appuieront sur le nouveau modèle du système terrestre (ICON-ESM), qui permet des simulations à haute résolution basées sur une infrastructure de calcul à haute performance. Le projet utilisera en synergie les données de télédétection des satellites européens Sentinel, les observations au niveau des sites et les simulations de modèles mondiaux.
Objectif
Arctic permafrost has been identified as a critical element in the global climate system, since it stores a vast amount of carbon that is at high risk of being released under climate change. The feedbacks between permafrost carbon and climate change are moderated by many factors, including hydrology, topography, and biology. Shifts in these factors lead to highly complex feedbacks between biogeochemical and biogeophysical processes. These are only rudimentarily represented in current Earth System Models (ESMs), in particular due to a scaling gap between processes and model grid.
Q-ARCTIC will establish a next generation coupled land-surface model that explicitly resolves highest resolution landscape features and disturbance processes in the Arctic. Model development will be informed by novel remote sensing methodologies linking landscape characteristics and change potential at an exceptional level of detail. Interdisciplinary observations at multiple spatiotemporal scales will deliver novel insight into permafrost carbon cycle processes. All components are essential for our objective to generate an unprecedented process-based hindcast of glacial permafrost carbon state and projection of permafrost sustainability under future scenarios with a focus on abrupt changes.
Our ground-breaking research is based on the newly developed ICON-ESM that enables highest-resolution simulations based on high-performance computing infrastructure. The required remote sensing information can for the first time be produced from new pan-Arctic data streams, such as the European Sentinel satellites. Finally, recent breakthroughs in ultraportable instrumentation and mobile air- and water-borne platforms facilitate bridging the gap between in-situ process understanding and landscape-scale surface-atmosphere exchange. The Q-ARCTIC PI-consortium will combine their world-leading expertise in these fields to close the scaling gap between high-resolution processes and the coarser ESM resolution.
Champ scientifique
- natural sciencesearth and related environmental scienceshydrology
- natural sciencesphysical sciencesastronomyplanetary sciencesplanetary geology
- engineering and technologyenvironmental engineeringremote sensing
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
Mots‑clés
Programme(s)
Thème(s)
Régime de financement
ERC-SyG - Synergy grantInstitution d’accueil
80539 Munchen
Allemagne