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Simons Collaboration on Computational Biogeochemical Modeling of Marine Ecosystems

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Tag: Hill

Posted on March 26, 2024

March 2024 CBIOMES e-meeting Chris Hill (MIT)

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Posted on October 4, 2022October 4, 2022

Small eddies play a big role in feeding ocean microbes

New study from MIT-CBIOMES finds swirling waters replenish nutrients in open ocean, and could mitigate some climate change effects. Continue reading “Small eddies play a big role in feeding ocean microbes”

Posted on June 7, 2022June 16, 2022

2022 Annual Meeting microtalk – “Dar_One: a sandbox environment for the Darwin Model” – Barbara Duckworth (MIT)

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Posted on March 15, 2022March 15, 2022

NEW CBIOMES PUBLICATION

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)

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Posted on July 15, 2021July 15, 2021

The Follows Group goes to Annual Meeting 2021

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Posted on June 22, 2021July 15, 2021

2021 Annual Meeting microtalk – “Modernizing MITgcm Modeling” – migrating MITgcm algorithms to a native Julia ecosystem implementation and to GPUs and beyond… – Chris Hill (MIT)

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Posted on June 8, 2021July 14, 2021

2021 Annual Meeting microtalk: Use Earth Movers Distances 
to Compare Biogeochemical Models and Satellite Derived Chlorophyll – Bror Jönsson (PML)

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Posted on June 8, 2021July 14, 2021

2021 Annual Meeting microtalk: The CBIOMES Climatology – Bror Jönsson (PML)

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Posted on March 19, 2021November 17, 2021

NEW CBIOMES PUBLICATION

Mohammad D. Ashkezari, Norland R. Hagen, Michael Denholtz, Andrew Neang, Tansy C. Burns, Rhonda L. Morales, Charlotte P. Lee, Christopher N. Hill and Virginia Armbrust (2021), Simons Collaborative Marine Atlas Project (Simons CMAP): an open-source portal to share, visualize and analyze ocean data, Limnology and Oceanography: Methods, doi: 10.1002/lom3.10439

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Posted on June 1, 2020July 13, 2020

Machine learning helps map global ocean communities

Technique developed by MIT-CBIOMES investigators could aid in tracking the ocean’s health and productivity. Continue reading “Machine learning helps map global ocean communities”

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