Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems
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A multi-lab collaboration that grew out of the January 2020 Bayesian Workshop finds using the Bayesian approach can yield more realistic biological models and better constrained cellular growth rates. Continue reading “Interpreting microbial growth rates from size distributions.”
CBIOMES researchers Zhen Wu and Gael Forget apply Julia to create a GPU-supported individual-based phytoplankton life cycle model.
Continue reading “A Super-Speedy New Phytoplankton Model”
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Jann Paul Mattern, Kristof Glauninger, Gregory L. Britten, John R. Casey, Sangwon Hyun, Zhen Wu, E. Virginia Armbrust, Zaid Harchaoui, Francois Ribalet (2022), A Bayesian approach to modeling phytoplankton population dynamics from size distribution time series, PLoS Computational Biology, doi: 10.1371/journal.pcbi.1009733
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Zhen Wu, Stephanie Dutkiewicz, Oliver Jahn, Daniel Sher, Angelicque White, Michael J. Follows (2021), Modeling Photosynthesis and Exudation in Subtropical Oceans, Global Biogeochemical Cycles, doi: 10.1029/2021GB006941
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From agent-based models to exploring individual microbes and processes that drive species interactions to simulating planetary-scale transports that control ocean biogeography and climate change CBIOMES shared their Julia-based marine microbe and biogeochemical modeling know-how at this year’s Julia programming language conference.
CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com
CBIOMES members please log in to access. Password issues contact cbiomesweb@gmail.com