OM44A:
Ensemble Modeling Approaches in Physical and Biogeochemical Oceanography II Posters


Session ID#: 28471

Session Description:
Ensemble modeling methods have been applied to a wide range of oceanographic and climate questions since their original application in numerical weather preduction several decades ago. Such applications currenty encompass not only climate projections (pertaining to detection and time of emergence) and predictability/prediction studies, but also forecast modeling (operational oceanography) and data assimilation. Additionally, ensemble methods are applied to physical state variables, ocean biogeochemistry, and potential ocean ecosystem stressors. As such, the range of applications informs and facilitates collaborative efforts in both the interpretation of an assimilation of observational records.

This session welcomes studies that employ ensemble methods in a wide range of applications relevant to physical and biogeochemical oceanography and the role of the ocean in the climate system. Abstracts are particularly welcomed that focus on the interplay between ocean physical and biogeochemical processes, proceses in high-latitude environments, and studies of marine ecosystems under a changing climate.

Primary Chair:  Keith B Rodgers, IBS Center for Climate Physics, Pusan National University, Busan, South Korea
Co-chairs:  Thomas L Froelicher, Universtity of Bern, Climate and Environmental Physics, Bern, Switzerland, Tatiana Ilyina, Max Planck Institute for Meteorology, Hamburg, Germany and Nicole S Lovenduski, University of Colorado, Department of Atmospheric and Oceanic Sciences, Boulder, CO, United States
Moderators:  Nicole S Lovenduski, University of Colorado, Department of Atmospheric and Oceanic Sciences, Boulder, CO, United States and Tatiana Ilyina, Max Planck Institute for Meteorology, Hamburg, Germany
Student Paper Review Liaison:  Keith B Rodgers, IBS Center for Climate Physics, Pusan National University, Busan, South Korea
Index Terms:

1605 Abrupt/rapid climate change [GLOBAL CHANGE]
1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]
1630 Impacts of global change [GLOBAL CHANGE]
4255 Numerical modeling [OCEANOGRAPHY: GENERAL]
Cross-Topics:
  • BN - Biogeochemistry and Nutrients
  • HE - High Latitude Environments
  • PC - Past, Present and Future Climate

Abstracts Submitted to this Session:

Temporal and spatial sources of internal variability of oceanic dissolved oxygen: global and regional perspectives from large ensemble simulations (316545)
Dr. Yohei Takano, PhD and Tatiana Ilyina, Max Planck Institute for Meteorology, Hamburg, Germany
Effects of Climate Change on Extreme Wave Heights in the Atlantic Ocean using a CMIP5 Multimodel Ensemble under the High-Emission Scenario RCP8.5 (318562)
Jaime Miguel De La Hoz Navarro, Uppsala University, Department of Earth Sciences, Uppsala, Sweden, Roshanka Ranasinghe, IHE Delft Institute for Water Education, Department of Water Sciences and Engineering, Delft, Netherlands and Johan Reyns, IHE Delft Institute for Water Education, Coastal and Urban Risk & Resilience, Delft, Netherlands
Big Data Estimation of Climatological Error Covariance Using Ensemble Ocean Reanalysis (320146)
Stephen Gregory Penny, NOAA Boulder, Boulder, MD, United States
Ensemble Approach to Explore Puget Sound Plankton Dynamics (323789)
Hoa Thi Thai Nguyen and Neil Banas, University of Strathclyde, Mathematics and Statistics, Glasgow, United Kingdom
Decadal variations of the Southern Ocean carbon sink in the MPI-ESM 100 ensemble simulations (311013)
Aaron Spring, Hongmei Li and Tatiana Ilyina, Max Planck Institute for Meteorology, Hamburg, Germany

See more of: Ocean Modeling