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, Rosenstiel School of Marine, Atmospheric and Earth Science, Miami, 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 Vernires, JCSDA/UCAR/NOAA, College Park, United States, Travis Cole Sluka, JCSDA/UCAR, Boulder, United States, Rahul Mahajan, NASA/GMAO, Greenbelt, MD, United States, Benjamin Menetrier, Joint Center for Satellite Data Assimilation, Camp Springs, United States, Daniel Holdaway, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Hamideh Ebrahimi, Joint Center for Satellite Data Assimilation, Boulder, United States, Stylianos Flampouris, IMSG/NOAA-NCEP-EMC, College Park, United States and Jong Kim, 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 Langodan1, George Krokos4, Omar M Knio5 and Ibrahim Hoteit1, (1)King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, (2)KAUST, Thuwal, Saudi Arabia, (3)Southern University of Science and Technology, Shenzhen, China, (4)King Abdullah University of Science and Technology, Division of Physical Science and Engineering, Thuwal, Saudi Arabia, (5)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 A. Jacobs5, Robert William Helber2 and Max Yaremchuk6, (1)University of New Orleans, New Orleans, United States, (2)U.S. Naval Research Laboratory, Ocean Dynamics and Prediction, Stennis Space Center, United States, (3)Naval Research Laboratory, Oceanography, Stennis Space Center, MS, United States, (4)Naval Research Lab Stennis Space Center, Stennis Space Center, 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 Cipollone2, Doroteaciro Iovino1, Stefania Ciliberti3, Giovanni Coppini4, Rita Lecci5, Francesco Trotta6, Nadia Pinardi7 and Fabrizio Baordo1, (1)Euro-Mediterranean Center on Climate Change, Ocean Modeling and Data Assimilation Division, Bologna, Italy, (2)Centro Euro-Mediterraneo sui Cambiamenti Climatici, Ocean Modeling and Data Assimilation Division, Bologna, Italy, (3)Euro-Mediterranean Center on Climate Change, Ocean Predictions and Applications, Italy, (4)Euro-Mediterranean Center on Climate Change, Lecce, Italy, (5)Euro-Mediterranean Center on Climate Change, Italy, (6)University of Bologna, Department of Physics and Astronomy, Bologna, Italy, (7)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