The Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems (CBIOMES) seeks to develop and apply quantitative models of the structure and function of marine microbial communities at seasonal and basin scales.
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. (more…)
"Attribution of space-time variability in global-ocean dissolved inorganic carbon using the ECCO-Darwin data‐assimilative global ocean biogeochemistry model." Please note access to this page is restricted to CBIOMES associates. (more…)
Zhen Wu and Gael Forget (2022), PlanktonIndividuals.jl: A GPU supported individual-based phytoplankton life cycle model, Journal of Open Source Software, doi: 10.21105/joss.04207
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
Dustin Carroll et al, 2022, Attribution of space-time variability in global-ocean dissolved inorganic carbon, Global Biogeochemical Cycles, doi: 10.1029/2021GB007162 (Stephanie Dutkiewicz, Jonathan M. Lauderdale, Chris Hill, Oliver Jahn)