Novel methods for bridging process-based and data-driven modelling of carbon, energy, and water fluxes from leaf to continental scales
Convener:
Mana Gharun
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Co-conveners:
Alexander J. WinklerECSECS,
Christina Bogner,
Holger Lange,
Gregory Duveiller,
M. Piles,
Rossella Guerrieri
Orals
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Thu, 27 Apr, 14:00–15:45 (CEST) Room 2.17
Posters on site
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Attendance Fri, 28 Apr, 14:00–15:45 (CEST) Hall A
This session invites studies that improve our overall understanding of biosphere-atmosphere interactions by combining observations at different temporal and spatial scales as well as their seamless integration into modelling strategies. In addition to empirical multi-scale observations of carbon, energy and water fluxes, we invite research that explores data-driven diagnostics and constraints for model evaluation (e.g., Emergent Constraints), data-driven parameterizations in mechanistic models (e.g., Earth system models) and other developments of machine-learning / hybrid modelling strategies (e.g., fusion of data-driven approaches and mechanistic models, interpretable machine learning, causal inference) for an integrated understanding of carbon, energy and water fluxes across scales.
14:00–14:05
5-minute convener introduction