XCA3 - Feedback and uncertainty analysis
Improving processes realism in ESMs
WP1: Atmosphere processes
WP2: Land processes
WP3: Ocean, marine biogeochemistry and cryosphere processes
Enabling and exploring new couplings between Earth system components
WP5+WP5: Coupled CH4 cycle
WP6+WP7: Coupled Nitrogen cycle
WP8+WP9: Coupled Dynamical Ice sheets
Connecting with IAMs
WP10: Improving IAM-ESM land use representation
WP11+WP12: Improving reduced complexity climate-carbon cycle models
WP13: Assesment of robust climate mitigation options
Outreach, knowledge exchange and project management
WP14: Operationalisation of the Paris Agreement: Bringing policy and science together and sharing knoledge with the public
WP15: Education and vocational training
WP16: Project and data
WP17: Ethics requirements
Cross-cutting activity 1 - Model evaluation
XCA Leader
Nuno Carvalhais
Scientist/Group leader, Max Planck Institute for Biogeochemistry - Jena (Germany)
I have a PhD in Environmental Engineering from the Faculty of Sciences and Technology, New University of Lisbon, Portugal, on integrating multiple data streams, including EO, and modeling ecosystem carbon fluxes. I am leading the Model-Data Integration research group in the Department Biogeochemical Integration, Max Planck Institute for Biogeochemistry, since 2012. I am very interested in dynamics of terrestrial ecosystems, global biogeochemical cycles, model-data fusion approaches, model evaluation/development, remote sensing of vegetation, machine learning and hybrid modeling.
In ESM2025
Exploring machine learning and hybrid modeling approaches to maximize the information flow from observations to modeling particular land surface dynamics and explore its implications in a coupled Earth system modeling framework. Coordinate and synthesize results from the cross-cutting activity #3 on feedback and uncertainty analysis.
