OM33A:
Development and Advances of Modeling and Forecasting Marine Biogeochemistry and Ecosystems II


Session ID#: 37785

Session Description:
Global warming, ocean acidification, eutrophication, deoxygenation, as well as the ongoing exploitation of marine resources drive major changes in marine biogeochemistry and ecosystems. Over the past decade, a considerable community effort has been put in the development of biogeochemical ocean models to analyze and study these potential changes. With recent advancements in in-situ monitoring, remote sensing and high-resolution circulation models, there is an increasing demand for the development of a predictive capability for ocean biogeochemistry and ecosystems on time scales ranging from days to seasons to better monitor and forecast changes relevant to resource management purposes. Especially, the rapid expansion of ocean observing capabilities such as Argo floats, Bio-Argo floats, gliders, geo-stationary satellite etc. has significantly improved data frequency and coverage both in time and space, allowing the improved constraints on ecosystem models to the development of operational system. In this session, we welcome contributions from any discipline that examine topics on advances and developments in marine ecosystem predictions. Researches that address biogeochemical modelling approaches, development of operational systems, biogeochemical data validation and assimilation, and physical-biogeochemical coupling are particularly encouraged for submission.
Primary Chair:  Fei Chai, University of Maine, School of Marine Sciences, Orono, ME, United States
Co-chairs:  Peng Xiu, SCSIO South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China, Marion Gehlen, Institut Pierre Simon Laplace, LSCE, Gif-sur-Yvette Cedex, France and Samantha A Siedlecki, Univ of Washington-JISAO, Seattle, WA, United States
Moderators:  Marion Gehlen, Institut Pierre Simon Laplace, LSCE, Gif-sur-Yvette Cedex, France, Fei Chai, University of Maine, School of Marine Sciences, Orono, ME, United States, Peng Xiu, SCSIO South China Sea Institute of Oceanology, Chinese Acaademy of Sciences, Guangzhou, China and Samantha A Siedlecki, University of Connecticut, Groton, CT, United States
Student Paper Review Liaisons:  Peng Xiu, SCSIO South China Sea Institute of Oceanology, Chinese Acaademy of Sciences, Guangzhou, China and Samantha A Siedlecki, University of Connecticut, Groton, CT, United States
Index Terms:

4263 Ocean predictability and prediction [OCEANOGRAPHY: GENERAL]
4273 Physical and biogeochemical interactions [OCEANOGRAPHY: GENERAL]
4805 Biogeochemical cycles, processes, and modeling [OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL]
4813 Ecological prediction [OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL]
Cross-Topics:
  • BN - Biogeochemistry and Nutrients
  • CD - Coastal Dynamics
  • ES - Ecology and Social Interactions
  • OC - Ocean Change: Acidification and Hypoxia

Abstracts Submitted to this Session:

Optimal Design Of The Biogeochemical-Argo Network In The North Atlantic: An Ensemble-Based Probability Score Approach To Compare Deployment Scenarios (308515)
Cyril Emmanuel Germineaud, Jean Michel Brankart and Pierre Brasseur, CNRS/IGE, Grenoble, France
Bayesian Learning Machines for Coupled Biogeochemical-Physical Ocean Science (326843)
Abhinav Gupta and Pierre F J Lermusiaux, Massachusetts Institute of Technology, Cambridge, MA, United States
Assessing the skill of chlorophyll forecasts: latest development and challenges ahead using the case of the Equatorial Pacific (321440)
Cecile S Rousseaux and Watson W Gregg, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Data assimilative biogeochemical modeling with glider observations: Examining future Ross Sea phytoplankton changes (319772)
Daniel Edward Kaufman1, Marjorie A. M. Friedrichs2, Walker O Smith Jr3, Eileen E Hofmann4, Michael S Dinniman4 and John C P Hemmings5,6, (1)Virginia Institute of Marine Science, Gloucester Point, VA, United States, (2)Virginia Inst Marine Science, Gloucester Point, VA, United States, (3)Virginia Inst Marine Sciences, Gloucester Point, VA, United States, (4)Old Dominion University, Center for Coastal Physical Oceanography, Norfolk, VA, United States, (5)Met Office, Exeter, Devon, United Kingdom, (6)Wessex Environmental Associates, Salisbury, United Kingdom
Skill Assessment and Analysis of a Coupled Hydrodynamic Biogeochemical Model of the Great Barrier Reef (315712)
Jennifer Skerratt1, Mark Edward Baird1, Mathieu Mongin2, Karen Wild-Allen1, Barbara Robson3, Farhan Rizwi1 and Nugzar Margvelashvili1, (1)CSIRO Marine and Atmospheric Research, Hobart, Australia, (2)CSIRO Oceans and Atmosphere, Hobart, Australia, (3)CSIRO, Land and Water, Canberra, Australia
Biogeochemical modelling in New Zealand waters (315469)
Helen Macdonald, National Institute of Water and Atmospheric Research, Wellington, New Zealand, Graham Rickard, National Institute of Water and Atmospheric Research (NIWA), Wellington, New Zealand and Mark Hadfield, National Institute of Water and Atmospheric Research, New Zealand
On Importance of Bio-physical Coupling in the High-resolution Regional Arctic System Model (RASM) (306737)
Marina Frants1, Nicole Jeffery2, Meibing Jin3, Wieslaw Maslowski1 and Shanlin Wang2, (1)Naval Postgraduate School, Monterey, CA, United States, (2)Los Alamos National Laboratory, Los Alamos, NM, United States, (3)University of Alaska Fairbanks, Fairbanks, AK, United States

See more of: Ocean Modeling