OM23A:
Advances in Ocean Data Assimilation, Forecasting, and Reanalysis II

Session ID#: 93213

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, Mohamed Iskandarani, University of Miami - RSMAS, Miami, FL, 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:

New Generation of Global Ocean Data Assimilation System at NCEP (650878)
Stylianos Flampouris1, Guillaume Vernires2, Travis Cole Sluka3, Jessica Meixner4, Jong Kim1, Jian Kuang5 and Shastri Paturi1, (1)IMSG/NOAA-NCEP-EMC, College Park, MD, United States, (2)JCSDA/UCAR/NOAA, College Park, United States, (3)JCSDA/UCAR/NOAA, Boulder, CO, United States, (4)NOAA/NWS/NCEP/EMC, College Park, MD, United States, (5)IMSG at NOAA/NWS/NCEP/EMC, College Park, MD, United States
Development of Bureau's Operational Ocean Prediction Systems (638009)
Aihong Zhong1, Gary B Brassington2, Xinmei Huang3, Jessica Sweeney3, Prasanth Divakaran4, Frank Colberg3, Pavel Sakov5 and Mikhail B Entel6, (1)United States, (2)Bureau of Meteorology, Darlinghurst, NSW, Australia, (3)Bureau of Meteorology, Melbourne, VIC, Australia, (4)CAWCR, Docklands, VIC, Australia, (5)Bureau of Meteorology, Hobart, TAS, Australia, (6)WOSB, Melbourne, VIC, Australia
Assessment of the new NASA/GMAO Ocean Reanalysis (643253)
Robin M Kovach1, Eric C Hackert2, Andrea Molod3, Anna Borovikov1 and Jelena Marshak4, (1)Science Systems and Applications, Inc., NASA/GMAO, Lanham, MD, United States, (2)NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Greenbelt, MD, United States, (3)Global Modeling and Assimilation Office, NASA GSFC, Greenbelt, MD, United States, (4)NASA Goddard Space Flight Center, GMAO, Greenbelt, MD, United States
Assimilating Multi-source Data in a Highly Variable Coastal Water (645958)
Wenfeng Lai, The Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong, Hong Kong, Jianping Gan, The Hong Kong University of Science and Technology, Department of Mathematics and Department of Ocean Science, Hong Kong, Hong Kong, Ye Liu, Swedish Meteorological and Hydrological Institute, Sweden, Zhiqiang LIU, Southern University of Science and Technology, Department of Ocean Science and Engineering, Shenzhen, China and Jiang Zhu, Institute of Atmospheric Physics, Beijing, China
The assimilation of satellite absorption and glider data into novel bio-optical module coupled to ERSEM on the North-West European Shelf (650684)
Jozef Skakala, Plymouth Marine Laboratory/National Centre for Earth Observation, Plymouth, United Kingdom, Stefano Ciavatta, Plymouth Marine Laboratory, Plymouth, United Kingdom, Jorn Bruggeman, Plymouth Marine Laboratory, MEMP, Plymouth, United Kingdom, David Ford, Met Office Hadley center for Climate Change, Exeter, United Kingdom and Robert J W Brewin, College of Life and Environmental Sciences, University of Exeter, Penryn, United Kingdom
Ensemble Forecasting of Return Flow over the Gulf of Mexico (644036)
John Maurice Lewis1, Junjun Hu2, S. Lakshmivarahan2 and Roger Edwards3, (1)NOAA Camp Springs, Camp Springs, MD, United States, (2)National Severe Storms Lab, Desert Research Inst,, Reno, NV, United States, (3)Storm Prediction Center, NOAA/NWS, Norman, OK, United States
Real-Time Implementation of the West Coast Operational Forecast System with Data Assimilation (643703)
Jiangtao Xu, NOAA/NOS/CO-OPS, Silver Spring, MD, United States, Alexander L Kurapov, NOAA National Ocean Service, Silver Spring, MD, United States, Eric J Bayler, NOAA/NESDIS/Center for Satellite Applications and Research (STAR), MD, United States, Aijun Zhang, Center for Operational Oceanographic Products and Services (CO-OPS), National Ocean Service (NOS), National Oceanic and Atmospheric Administration (NOAA), Silver Spring, MD, United States, Zachary Burnett, NOAA/NOS/OCS, Silver Spring, MD, United States and Gregory N Seroka, NOAA/National Ocean Service/Coast Survey Development Lab, Silver Spring, MD, United States
Unified Forecast System Development and Operational Implementation Plans for Sub-Seasonal to Seasonal (S2S) Predictions at NCEP/EMC (654039)
Vijay Tallapragada1, Yuejian Zhu2, Jessica Meixner3, Suranjana Saha4, Avichal Mehra5, Arun Chawla2, Jason Levit6, Ivanka Stajner7, Brian Gross8, Yan Xue9, Dorothy M Koch10 and Farida Adimi11, (1)NOAA/NCEP/EMC, College Park, MD, United States, (2)NOAA/NWS/NCEP/EMC, College Park, MD, United States, (3)Organization Not Listed, College Park, United States, (4)National Centers For Environmental Prediction-Environmental Modeling Center, College Park, MD, United States, (5)National Centers For Environmental Prediction-Environmental Modeling Center, College Park, United States, (6)NOAA/NCEP/EMC, College PARK, MD, United States, (7)NOAA National Weather Service, Boulder, MD, United States, (8)NOAA, NWS/NCEP, College Park, MD, United States, (9)NOAA NWS OSTI Modeling Program Division, Silver Spring, MD, United States, (10)NOAA/NWS, Silver Spring, MD, United States, (11)Office of Science and Technology Integration, Clarksville, MD, United States
See more of: Ocean Modeling