OM31A:
Advances in Ocean Data Assimilation, Forecasting, and Reanalysis III

Session ID#: 93217

Session Description:
Quantifying and reducing uncertainties in ocean models through data assimilation are essential steps towards accurate oceanic simulations and forecasts. Data assimilation and forecasting products based are now widely used in a variety of applications ranging from guiding maritime transportation, planning recreational activities, and supporting hazard and emergency responses. The challenges in this area are numerous due to the nonlinear dynamics and interactions at multiple spatio-temporal scales, computational burden, and diverse sources of uncertainties in the numerical models and observations. The goal of this session is to provide a forum for presenting and discussing recent developments in ocean data assimilation and forecasting methodologies, applications and assessments. Contributions concerning the following issues are of particular interest:

  • Developments of new data assimilation methodologies;
  • New developments, assessments and original applications of ocean data assimilation, operational and reanalysis systems;
  • Pushing the limits of prediction skill, through stochastic parameterizations and accounting for model errors;
  • Coupled data assimilation, including ocean-atmosphere and ocean-biogeochemical systems;
  • Estimation and uncertainty quantification of ocean model parameters, inputs, and outputs;
  • Assimilation of new datasets and design of observation systems.
Co-Sponsor(s):
  • IS - Ocean Observatories, Instrumentation and Sensing Technologies
  • PL - Physical Oceanography: Mesoscale and Larger
  • PS - Physical Oceanography: Mesoscale and Smaller
Primary Chair:  Ibrahim Hoteit, King Abdullah University of Science and Technology (KAUST), Department of Earth Sciences and Engineering, Thuwal, Saudi Arabia
Co-chairs:  Mohamed Iskandarani, University of Miami - RSMAS, Miami, FL, United States, Zhijin Li, JPL, Pasadena, CA, United States and Aneesh Subramanian, University of Colorado at Boulder, Department of Atmospheric and Oceanic Sciences, Boulder, United States
Primary Liaison:  Ibrahim Hoteit, King Abdullah University of Science and Technology (KAUST), Department of Earth Sciences and Engineering, Thuwal, Saudi Arabia
Moderators:  Ibrahim Hoteit, King Abdullah University of Science and Technology (KAUST), Department of Earth Sciences and Engineering, Thuwal, Saudi Arabia, Zhijin Li, JPL, Pasadena, CA, United States and Aneesh Subramanian, University of Colorado at Boulder, Department of Atmospheric and Oceanic Sciences, Boulder, United States
Student Paper Review Liaison:  Ibrahim Hoteit, King Abdullah University of Science and Technology (KAUST), Department of Earth Sciences and Engineering, Thuwal, Saudi Arabia

Abstracts Submitted to this Session:

A Comparison of Twin MOM6 and HYCOM Eddy-Resolving Global Ocean Simulations (646624)
Alan J Wallcraft1, Eric Chassignet1 and Robert Hallberg2, (1)Florida State University, Center for Ocean-Atmospheric Prediction Studies, Tallahassee, FL, United States, (2)NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States
DRP-4DVar-based Coupled Data Assimilation for Decadal Climate Prediction (643294)
Bin Wang and Yujun He, LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Real-time Ocean Monitoring at the Joint Center for Satellite Data Assimilation: a Testbed for Ice/Ocean Data Assimilation Development and Evaluation. (651297)
Travis Cole Sluka, JCSDA/UCAR/NOAA, Boulder, CO, United States, Guillaume Vernires, JCSDA/UCAR/NOAA, College Park, United States and Rahul Mahajan, NASA/GMAO, Greenbelt, MD, United States
Real Time Ocean-Sea Ice coupled Three Dimensional Variational Global Data Assimilation at National Centers for Environmental Prediction. (645580)
Zulema D Garraffo1, James A Cummings1, Hae-Cheol Kim1, Shastri Paturi2, Yan Hao1, Todd D Spindler1, Dan Iredell1, Ilya Rivin3 and Avichal Mehra4, (1)IMSG at NOAA/NWS/NCEP/EMC, College Park, MD, United States, (2)IMSG/NOAA-NCEP-EMC, College Park, MD, United States, (3)NOAA/NOS/CO-OPS, Silver Spring, MD, United States, (4)NOAA/NWS/NCEP/EMC, College Park, MD, United States
Towards Strongly Coupled Data Assimilation for Subseasonal-to-Seasonal (S2S) Prediction (646733)
Stephen Gregory Penny, NOAA Boulder, Boulder, MD, United States
See more of: Ocean Modeling