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critical for predicting future changes to fisheries production and deep ocean carbon storage as the ocean warms. Biogeochemical-ecosystem models are currently used for this purpose but have difficulties: in
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. The postdoc will collaborate closely with modelers to integrate observations into predictive tools, and with social scientists to help place MRV findings within broader governance and stakeholder contexts
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analyze a suite of high-resolution regional ocean biogeochemical model simulations to provide actionable information to decision makers as part of NOAA’s Changing Ecosystems and Fisheries Initiative (CEFI
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this ecosystem particularly interesting for studying and modeling biogeochemical cycles (Cornut et al. 2021), and poses important challenges in finding the right levels of fertilization to limit
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. Within this project, work package 1 focuses on the resilience of the marine sinks of heat and carbon, using Earth system and biogeochemical models, observational data, and scenario analysis to identify
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. Within this project, work package 1 focuses on the resilience of the marine sinks of heat and carbon, using Earth system and biogeochemical models, observational data, and scenario analysis to identify
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to transform the way environmental and social data are integrated into fisheries management by combining advanced ocean forecasting, species-specific modeling, and social science to develop adaptive strategies
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expertise in marine modelling, oceanography, and marine biogeochemistry including lower trophic level ecosystem dynamics and benthic biogeochemical processes You have comprehensive experience with coding
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State University/NREL and Karlsruhe Institute of Technology/IMK-IFU. Digital technologies, including biogeochemical modelling and remote sensing, as well as interactions with stakeholders are key
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on advancing the science of biogeochemical process modeling—specifically related to carbon and nitrogen cycling (e.g., soil organic carbon and N2O fluxes) in U.S. agricultural lands. This role requires strong