B51F:
Identifying and Reducing Biogeochemical and Physical Uncertainty in Ocean Models Posters


Submit an Abstract to this Session


Session ID#: 46303

Session Description:
Approximately one-quarter of anthropogenic carbon is taken up each year by the ocean. Do recent advances in the complexity and resolution of ocean models result in reduced uncertainty surrounding the magnitude and long-term fate of this important carbon sink?  New physical and biogeochemical processes are being incorporated into ocean models with a goal of improving our understanding of air-sea interactions, the export of organic matter to the deep sea, and interactions between the marine and terrestrial carbon reservoirs. To improve the representation of biogeochemical-climate feedbacks and the reliability of ocean model projections, high-quality observational data need to be employed to benchmark model results, assess their ability to represent mean states and variability across a range of timescales, and constrain future projections. In this session, we encourage abstract submissions describing research addressing model process developments, evaluation metrics and global and regional observational studies tailored to identify and reduce ocean model uncertainties.
Primary Convener:  Oluwaseun O Ogunro, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Conveners:  John P Krasting, Rutgers University, Department of Environmental Sciences, New Brunswick, United States and Marjorie A. M. Friedrichs, Virginia Inst Marine Science, Gloucester Point, United States
Primary Liaison:  Oluwaseun O Ogunro, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Chairs:  John P Krasting, Rutgers University, Department of Environmental Sciences, New Brunswick, United States, Marjorie A. M. Friedrichs, Virginia Inst Marine Science, Gloucester Point, United States and Oluwaseun O Ogunro, New Mexico Tech, Socorro, NM, United States
OSPA Liaison:  Oluwaseun O Ogunro, New Mexico Tech, Socorro, NM, United States

Cross-Listed:
  • GC - Global Environmental Change
  • OS - Ocean Sciences
Index Terms:

0414 Biogeochemical cycles, processes, and modeling [BIOGEOSCIENCES]
0434 Data sets [BIOGEOSCIENCES]
1635 Oceans [GLOBAL CHANGE]
4806 Carbon cycling [OCEANOGRAPHY: BIOLOGICAL AND CHEMICAL]

Abstracts Submitted to this Session:

Southern Ocean pH in a High Resolution and CMIP5 Earth System Models (Invited) (413343)
Joellen L Russell, University of Arizona, Department of Geosciences, Tucson, AZ, United States
Sensitivity tests of the ocean biogeochemical variables to iron deposition and air temperature (432434)
Hyomee Lee, Chonbuk National University, Jeonju, South Korea, Hyojin Park, Gimje Meister Highschool for Agriculture and Life, Gimje-si, South Korea, Hyun-Chae Jung, Jeonbuk National University, Jeonju, South Korea, Jieun Wie, Chonbuk National University, Jeonju, Korea, Republic of (South) and Byung-Kwon Moon, Jeonbuk National University, Division of Science Education, Jeonju, South Korea
Evaluating Uncertainties in Marine Biogeochemical Models: Benchmarking Aerosol Precursors (425852)
Oluwaseun O Ogunro, Oak Ridge National Laboratory, Oak Ridge, TN, United States, Nathan Collier, Oak Ridge National Laboratory, Oak Ridge, United States, Scott Elliott, Los Alamos National Laboratory, Los Alamos, NM, United States, Oliver W Wingenter, New Mexico Institute of Mining and Technology, Socorro, NM, United States, Clara Deal, University of Alaska Fairbanks, Fairbanks, AK, United States, Weiwei Fu, University of California Irvine, Earth System Science, Irvine, CA, United States and Forrest M Hoffman, Oak Ridge National Laboratory, Computational Sciences & Engineering Division, Oak Ridge, United States
Role of deep ocean mixing on global carbon cycle evaluated with an Earth system model (429801)
Michio Watanabe, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Research Center for Environmental Modeling and Application, Kanagawa, Japan, Akitomo Yamamoto, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Research Center for Environmental Modeling and Application, Yokohama, Japan, Tomohiro Hajima, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Research Institute for Global Change, Yokohama, Japan and Hiroaki Tatebe, JAMSTEC Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Biophysical effects on El Niño simulated by an Ocean General Circulation Model Coupled with a Biogeochemical Model (432282)
Hyojin Park, Gimje Meister Highschool for Agriculture and Life, Gimje-si, South Korea, Hyomee Lee, Chonbuk National University, Jeonju, South Korea, Jieun Wie, Chonbuk National University, Jeonju, Korea, Republic of (South) and Byung-Kwon Moon, Jeonbuk National University, Division of Science Education, Jeonju, South Korea

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