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Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems

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Tag: Armbrust Group

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Posted on July 11, 2023July 24, 2023

NEW CBIOMES PUBLICATION

Smyth, T., D. Moffat, G. Tarran, S. Sathyendranath, F. Ribalet, J. Casey (2023), Determining drivers of phytoplankton carbon to chlorophyll ratio at Atlantic Basin scale, Frontiers in Marine Science, doi: 10.3389/fmars.2023.1191216

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Posted on February 13, 2023February 13, 2023

Linking Transects and Eco-provinces

The CBIOMES Workshop on Transects and Eco-provinces was held on January 23-25, 2023, at MIT’s Samberg Conference Center. Continue reading “Linking Transects and Eco-provinces”

Posted on November 17, 2022November 17, 2022

What’s the Big Deal with Diel?

The CBIOMES Workshop on Diel Processes was held on October 17-20, 2022, at the Bostonian Hotel, Boston. Continue reading “What’s the Big Deal with Diel?”

Posted on September 21, 2022October 13, 2022

E. Virginia Armbrust Named a 2022 AGU Fellow

Warm congratulations to CBIOMES principal investigator Ginger Armbrust on this recently announced honor. Continue reading “E. Virginia Armbrust Named a 2022 AGU Fellow”

Posted on September 12, 2022

CBIOMES Welcomes Kathy Qi

A warm welcome to Kathy Qi who recently joined the Armbrust Group.

Continue reading “CBIOMES Welcomes Kathy Qi”

Posted on May 19, 2022

Interpreting microbial growth rates from size distributions.

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.”

Posted on April 19, 2022

April 2022 CBIOMES e-meeting Francois Ribalet (UW)

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Posted on March 15, 2022April 28, 2022

NEW CBIOMES PUBLICATION

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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Posted on January 4, 2022January 10, 2022

Plankton’s Place

According to CBIOMES researchers predator interactions chiefly determine where Prochlorococcus thrive – a finding that may help researchers hone predictions for where phytoplankton will migrate with climate change. Continue reading “Plankton’s Place”

Posted on November 17, 2021

CBIOMES Welcomes Walker Malling

by Helen Hill for CBIOMES

A warm welcome to incoming web specialist Walker Malling, a new member of the UW CBIOMES Group working.
Continue reading “CBIOMES Welcomes Walker Malling”

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