The overarching theme of my research has been understanding how human perturbations to the Earth system, particularly greenhouse gas emissions, affect elemental cycles in the ocean, the associated climate feedbacks, and the impact of these interactions on marine ecosystems. I am interested in research questions that encompass particularly broad spatiotemporal scales within the Anthropocene, from global centennial-scale trends to diel impacts on coastal ecosystems. I have used numerical tools such ocean biogeochemistry models and Earth system models, as well as observations and oceanographic experiments performed in the field to explore research questions. A dominant thread running through my research is that of reducing uncertainties associated with projections of ocean-climate interactions and marine ecosystem sensitivities. This has often been aligned with multi-model projections performed as part of international exercises such as the Coupled Model Intercomparison Projects (CMIPs). In some instances, these multi-model projections can be highly divergent and techniques that use emergent model ensemble properties, alongside relevant observations, may be used to reduce projection uncertainties. In other instances, an entire ESM ensemble may fail to represent an ocean biogeochemical processes (often for good reason) and therefore have systematic biases. Here targeted simulations with a carefully curated ocean biogeochemical model may be used to assess the magnitude of such biases and provide recommendations for future ESM development.

Date & Time: Tue Nov 12 2024 11:00:00 GMT+0100 (Central European Standard Time)
Room: salle de conférence de l’UFR 918, couloir 46-56, 2ème étage

Zoom: https://cnrs.zoom.us/j/92207921380?pwd=Ma4masKh7AbFBArN6BcT897a1Ca9aq.1