PO51C:
Developments and Ocean Applications of Data Assimilation, Uncertainty, and Sensitivity Analyses I

Submit an Abstract to this Session

Session ID#: 9520

Session Description:
Data assimilation and uncertainty and sensitivity analyses are vital components in the production of ocean science reanalyses for the study of various ocean processes. They are also used in model calibration (including parameter estimation), design of observation systems, and for operational forecasts and analyses. The challenges in this area are numerous due to the non-linear interaction of multiple spatio-temporal scales as well as uncertainties due to the resolution of physical processes, parameterizations, and uncertain inputs. The goal of this session is to bring together researchers working in the areas of ocean data assimilation, model sensitivity analysis, and uncertainty quantification, with the goal of discussing new technical developments and recent applications. Contributions concerning the following issues are particularly of interest:

-       New developments and original applications of data assimilation, uncertainty and sensitivity analyses methods

-       Coupled data assimilation, including ocean-atmosphere and ocean-biogeochemical systems

-       Estimation and uncertainty quantification of ocean models parameters, inputs, and outputs

-       Developments of advanced ocean operational and reanalysis systems

-       Assimilation of new data sets and design of observation systems

Primary Chair:  Ibrahim Hoteit, King Abdullah University of Science and Technology, Physical Sciences and Engineering Division, Thuwal, Saudi Arabia
Chairs:  Bruce D Cornuelle, University of California San Diego, Scripps Institution of Oceanography, La Jolla, United States, Mohamed Iskandarani, University of Miami, Rosenstiel School of Marine, Atmospheric and Earth Science, Miami, United States and Hans E Ngodock, Naval Research Lab Stennis Space Center, Stennis Space Center, MS, United States
Moderators:  Ibrahim Hoteit, King Abdullah University of Science and Technology, Physical Sciences and Engineering, Thuwal, Saudi Arabia, Mohamed Iskandarani, University of Miami, Rosenstiel School of Marine, Atmospheric and Earth Science, Miami, United States, Hans E Ngodock, Naval Research Lab Stennis Space Center, Stennis Space Center, MS, United States and Bruce D Cornuelle, University of California San Diego, Scripps Institution of Oceanography, La Jolla, United States
Student Paper Review Liaison:  Ibrahim Hoteit, King Abdullah University of Science and Technology, Physical Sciences and Engineering, Thuwal, Saudi Arabia
Index Terms:

1910 Data assimilation, integration and fusion [INFORMATICS]
1990 Uncertainty [INFORMATICS]
4260 Ocean data assimilation and reanalysis [OCEANOGRAPHY: GENERAL]
4263 Ocean predictability and prediction [OCEANOGRAPHY: GENERAL]
Co-Sponsor(s):
  • OD - Ocean Observing and Data Management
  • PC - Past, Present and Future Climate
  • O - Other

Abstracts Submitted to this Session:

PO51C-01
Impact of uncertainty in surface forcing on the new SODA 3 global reanalysis (91753)
James Carton, University of Maryland College Park, College Park, MD, United States, Gennady A Chepurin, University of Maryland College Park, College Park, United States and Ligang Chen, University of Maryland, Atmospheric and Oceanic Sciences, College Park, United States
PO51C-02
Global Ensemble Generation Using Perturbed Observations in the Navy Coupled Ocean Data Assimilation System (NCODA) (89854)
Clark David Rowley1, Sergey Frolov2, Michael Stokes3, Patrick J Hogan4, Mozheng Wei4 and Craig H Bishop5, (1)Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, MS, United States, (2)US Naval Research Laboratory, Monterey, CA, United States, (3)Northshore High School, Slidell, LA, United States, (4)Naval Research Laboratory, Oceanography Division, Stennis Space Center, MS, United States, (5)Naval Research Lab, Monterey, United States
PO51C-03
4DVAR with Ensemble Model Error Estimation in a Coastal Ocean Model (87675)
Ivo Pasmans, Oregon State University, College of Earth, Ocean & Atmospheric Sciences, Corvallis, OR, United States and Alexander L Kurapov, Oregon State University, Corvallis, OR, United States
PO51C-04
EnKF vs. EnOI in the Red Sea and Sensitivity to Atmospheric Forcing (89654)
Habib Toye Mahamadou Kele1, Peng Zhan1, Ganesh Gopalakrishnan2, Hatem Ltaief1, Aditya R Kartadikaria1 and Ibrahim Hoteit3, (1)King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, (2)University of California San Diego, Scripps Institution of Oceanography, La Jolla, United States, (3)King Abdullah University of Science and Technology, Physical Sciences and Engineering Division, Thuwal, Saudi Arabia
PO51C-05
The Importance of Being Uncertain: The Influence of Initial Conditions and Parameter Settings in Ocean Models (90390)
Robin T Tokmakian, Naval Postgraduate School, Monterey, CA, United States
PO51C-06
On the Direct Assimilation of Along-track Sea Surface Height Observations into a Free-surface Ocean Model Using a Weak Constraints Four Dimensional Variational (4dvar) Method (89041)
Hans Ngodock1, Matthew Carrier2, Scott R Smith1, Innocent Souopgui3, Paul Martin4 and Gregg A. Jacobs5, (1)Naval Research Lab Stennis Space Center, Stennis Space Center, United States, (2)U.S. Naval Research Laboratory, Ocean Dynamics and Prediction, Stennis Space Center, United States, (3)University of Southern Mississippi, Department of Marine Science, Slidell, LA, United States, (4)University of Guelph, Engineering, Waterloo, ON, Canada, (5)Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, MS, United States
PO51C-07
A New Coupled 4DVAR Assimilation System for Coupled Ocean-Wave Models (91540)
Cheryl Ann Blain1, Mark Orzech2, Matthew Carrier3, Hans Ngodock3, Innocent Souopgui4 and Scott R Smith5, (1)Naval Research Laboratory, Oceanography Division, Stennis Space Center, MS, United States, (2)Naval Research Laboratory, Ocean Sciences, Stennis Space Center, United States, (3)Naval Research Laboratory, Stennis Space Center, MS, United States, (4)The University of New Orleans, New Orleans, United States, (5)U.S. Naval Research Laboratory, Stennis Space Center, United States
PO51C-08
Bayesian Inference of Coupled Biogeochemical-Physical Models (93678)
Pierre F J Lermusiaux and Abhinav Gupta, Massachusetts Institute of Technology, Cambridge, MA, United States
See more of: Physical Oceanography/Ocean Circulation