OM21A:
Advances in Ocean Data Assimilation, Forecasting, and Reanalysis I

Session ID#: 93209

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
Index Terms:
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:  Zhijin Li, JPL, Pasadena, CA, United States, Aneesh Subramanian, University of Colorado at Boulder, Department of Atmospheric and Oceanic Sciences, Boulder, United States and Ibrahim Hoteit, King Abdullah University of Science and Technology (KAUST), Department of Earth Sciences and Engineering, Thuwal, Saudi Arabia
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:

Ensemble Forecasting in the Gulf of Mexico: LETKF vs. ET (646841)
Patrick J Hogan, US Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, MS, United States, Clark David Rowley, Naval Research Laboratory, Oceanography, Stennis Space Center, MS, United States, Seth Camp, Naval Research Laboratory, Stennis Space Center, United States, Ole Martin Smedstad, QinetiQ North America, Stennis Space Center, MS, United States and Prasad Thoppil, Naval Research Laboratory, Oceanography Division, Stennis Space Center, MS, United States; John C. Stennis Space Center, Stennis Space Center, MS, United States
Interfacing the Modular Ocean Model version 6 (MOM6) with the Joint Effort for Data assimilation Integration (JEDI) (653956)
Guillaume Vernires1, Travis Cole Sluka2, Rahul Mahajan3, Benjamin Menetrier4, Daniel Holdaway5, Hamideh Ebrahimi4, Stylianos Flampouris6 and Jong Kim6, (1)JCSDA/UCAR/NOAA, College Park, United States, (2)Climate Prediction Center/NCEP, Innovim, LLC, University of Maryland College Park, College Park, MD, United States, (3)NASA/GMAO, Greenbelt, MD, United States, (4)Joint Center for Satellite Data Assimilation, Camp Springs, United States, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (6)IMSG/NOAA-NCEP-EMC, College Park, MD, United States
Impact of Atmospheric and Model Physics Perturbations On a High-Resolution Ensemble Data Assimilation System of the Red Sea (642026)
Siva Sanikommu1, Habib Toye Mahamadou Kele2, Peng Zhan3, Sabique Langodan4, George Krokos5, Omar M Knio6 and Ibrahim Hoteit5, (1)King Abdullah University of Science and Technology, Jeddah, Saudi Arabia, (2)KAUST, Thuwal, Saudi Arabia, (3)Earth Sciences and Engineering Program, King Abdullah University of Science and Technology (KAUST), Jeddah, Saudi Arabia, (4)King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, (5)King Abdullah University of Science and Technology, Division of Physical Science and Engineering, Thuwal, Saudi Arabia, (6)King Abdullah University of Science and Technology, Division of Computer, Electrical and Mathematical Science and Engineering, Thuwal, Saudi Arabia
Impact of simulated SWOT Observations in a Multi-Scale Assimilation (640346)
Innocent Souopgui1, Joseph Matthew D'Addezio2, Clark David Rowley3, Scott R Smith4, Gregg Arthur Jacobs5, Robert William Helber2 and Max Yaremchuk6, (1)University of New Orleans, New Orleans, LA, United States, (2)U.S. Naval Research Laboratory, Ocean Dynamics and Prediction, Stennis Space Center, MS, United States, (3)Naval Research Laboratory, Oceanography, Stennis Space Center, MS, United States, (4)Naval Research Lab Stennis Space Center, Stennis Space Center, MS, United States, (5)US Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, MS, United States, (6)Naval Research Lab, Stennis Space Center, MS, United States
Quantifying the Synergy Between Different Components of an Ocean Observing Array in a Near Real-time Ocean Analysis-Forecast System (646549)
Andrew M Moore1, Julia Levin2, Hernan Arango3, Bruce Laughlin4 and John Wilkin3, (1)University of California Santa Cruz, Santa Cruz, CA, United States, (2)Rutgers University New Brunswick, IMCS, New Brunswick, NJ, United States, (3)Rutgers University, New Brunswick, NJ, United States, (4)University of California Santa Cruz, Department of Ocean Sciences, Santa Cruz, United States
GOFS16: A Global Ocean-Sea Ice Forecast System at Eddying Resolution (651135)
Simona Masina1, Andrea Cipollone1, Doroteaciro Iovino1, Stefania Ciliberti2, Giovanni Coppini3, Rita Lecci2, Francesco Trotta4, Nadia Pinardi5 and Fabrizio Baordo1, (1)Euro-Mediterranean Center on Climate Change, Ocean Modeling and Data Assimilation Division, Bologna, Italy, (2)Euro-Mediterranean Center on Climate Change, Ocean Predictions and Applications, Italy, (3)Euro-Mediterranean Center on Climate Change, Ocean Predictions and Applications, Lecce, Italy, (4)University of Bologna, Department of Physics and Astronomy, Bologna, Italy, (5)University of Bologna, Bologna, Italy
The First 1/12° Global Ocean Reanalysis of Copernicus Marine Environment Monitoring Service: Description and Quality Assessment (645292)
Romain Bourdalle-Badie1, Jean-Michel Lellouche2, Mathieu Hamon3, Marie Drevillon2, Eric Greiner4, Gilles Garric2, Olivier Le Galloudec2, Clement Bricaud2, Charly Regnier2, Tony Candela5 and Yann Drillet2, (1)Mercator-Ocean, Ramonville, France, (2)Mercator Océan, Ramonville Saint Agne, France, (3)Mercator-Ocean, France, (4)CLS, Ramonville Saint Agne, France, (5)Mercator Ocean, Operational Oceanography, Ramonville St Agne, France
Bayesian Estimation and Data Assimilation for Probabilistic Regional Forecasts in the northern Indian Ocean (652268)
Pasula Abhishek, Ratnakar Gadi and Deepak Subramani, Indian Institute of Science, Computational and Data Sciences, Bangalore, India
See more of: Ocean Modeling