PO54D:
Developments and Ocean Applications of Data Assimilation, Uncertainty, and Sensitivity Analyses IV Posters


Session ID#: 11487

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, Thuwal, Saudi Arabia
Chairs:  Bruce D Cornuelle, University of California San Diego, La Jolla, CA, United States, Mohamed Iskandarani, University of Miami - RSMAS, Miami, FL, 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, Bruce D Cornuelle, University of California San Diego, La Jolla, CA, United States, Mohamed Iskandarani, University of Miami - RSMAS, Miami, FL, United States and Hans Ngodock, Naval Research Laboratory, Stennis Space Center, MS, United States
Student Paper Review Liaison:  Ibrahim Hoteit, King Abdullah University of Science and Technology, Physical Sciences and Engineering, Thuwal, Saudi Arabia
Co-Sponsor(s):
  • OD - Ocean Observing and Data Management
  • PC - Past, Present and Future Climate
  • O - Other

Abstracts Submitted to this Session:

 
Water mass transformation rates as a climate model evaluation methodology (90955)
Detelina Ivanova1,2, Mats Bentsen3,4 and Thomas Toniazzo3,4, (1)Nansen Environmental and Remote Sensing Center, Bergen, Norway, (2)Scripps Institution of Oceanography, La Jolla, CA, United States, (3)Bjerknes Centre for Climate Research, Bergen, Norway, (4)Uni Research, Bergen, Norway
 
Impact of Assimilating Surface Velocity Observations on the Model Sea Surface Height using the NCOM-4DVAR (87770)
Matthew Carrier1, Hans Ngodock1, Philip Anthony Muscarella2 and Scott R Smith1, (1)Naval Research Lab Stennis Space Center, Stennis Space Center, MS, United States, (2)SRI International, Ann Arbor, MI, United States
 
Exploring image data assimilation in the prospect of high-resolution satellite data (91475)
Jacques A Verron1, Marina Duran1, Lucile Gaultier2, Jean Michel Brankart3 and Pierre Brasseur1, (1)CNRS/LGGE, Grenoble, France, (2)Jet Propulsion Laboratory, Pasadena, CA, United States, (3)CNRS/IGE, Grenoble, France
 
Ocean Climate Reanalysis of KIOST and its application to ENSO prediction system (90516)
Young Ho Kim1, Byoung-Ju Choi2, Kwang-Yeon Lee1, Yoo-Geun Ham3 and Jong-Seong Kug4, (1)Korea Institute of Ocean Science & Technology, Seoul, Korea, Republic of (South), (2)Chonnam National University, South Korea, (3)Chonnam National University, Gwangju, Korea, Republic of (South), (4)POSTECH Pohang University of Science, Pohang, South Korea
 
Quantifying Uncertainty in an Oil Fate Model Using a Polynomial Chaos Surrogate (87889)
Rafael Carvalho Gonçalves, University of Miami, Ocean Sciences, Miami, FL, United States, Mohamed Iskandarani, University of Miami - RSMAS, Miami, FL, United States, Ashwanth Srinivasan, Tendral LLC, Miami, FL, United States, William Thacker, Independent Scholar, Eric Chassignet, Florida State University, Center for Ocean-Atmospheric Prediction Studies, Tallahassee, FL, United States and Omar M Knio, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
 
Polynomial Chaos-based Bayesian Inference of K-Profile Parametrization in a General Circulation Model of the Torpical Pacific (88679)
Ibrahim Hoteit1, Ihab Sraj1, Sarah E Zedler2, Charles S Jackson3 and Omar M Knio1, (1)King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, (2)Institute for Geophysics, Austin, TX, United States, (3)University of Texas at Austin, Austin, TX, United States
 
Assimilation of High Frequency (HF) Radar Observations in the Chesapeake-Delaware Bay Region Using the Navy Coastal Ocean Model (NCOM) and the Four-Dimensional Variational (4DVAR) Method (88711)
Philip Anthony Muscarella1, Hans Ngodock2, Matthew Carrier2, Innocent Souopgui3 and Scott R Smith2, (1)SRI International, Ann Arbor, MI, United States, (2)Naval Research Lab Stennis Space Center, Stennis Space Center, MS, United States, (3)The University of New Orleans, New Orleans, LA, United States
 
Sensitivity analysis in an assimilative System (89077)
Innocent Souopgui, The University of New Orleans, New Orleans, LA, United States, Hans Ngodock, Naval Research Lab Stennis Space Center, Stennis Space Center, MS, United States and François Xavier Le Dimet, The French Institute for Research in Computer Science and Automation, Grenoble, France
 
Development of Ocean Spectral Data Analysis/Assimilation without Background and Observational Error Covariance Matrices (89197)
Peter C Chu, Naval Postgraduate School, Monterey, CA, United States
 
Impacts of mean dynamic topography on a regional ocean assimilation system (89392)
Changxiang Yan, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China and Jiang Zhu, Institute of Atmospheric Physics, International Center for Climate and Environment Sciences, Beijing, China
 
Impact of the assimilation of high-frequency altimetry data in a regional model (89550)
Mounir Benkiran, Mercator Ocean, D&D, Ramonvile St-Agne, France, Yann Drillet, Mercator Océan, Ramonville Saint Agne, France and Guillaume Reffray, Mercator Océan, Ramonville-Saint-Agne, France
 
Direct Sea Surface Height Data Assimilation (89977)
Robert William Helber1, Scott R Smith2, Gregg Arthur Jacobs3, Charlie N. Barron4 and Tamara L Townsend1, (1)Naval Research Lab, Stennis Space Center, MS, United States, (2)U.S. Naval Research Laboratory, Stennis Space Center, MS, United States, (3)Naval Research Lab Stennis Space Center, Stennis Space Center, MS, United States, (4)Naval Research Laboratory SSC, Stennis Space Center, MS, United States
 
Development of a GSI-Based, 2D-VAR Data Assimilation System for Operational Wave Guidance at the National Weather Service (90008)
Stylianos Flampouris, IMSG, College Park, MD, United States, Henrique Alves, SRG / NOAA, NCEP, College Park, United States and Manuel Pondeca, IMSG / NOAA, NCEP, College Park, MD, United States
 
State Estimates of the Northern Philippine Sea Circulation Including Ocean Acoustic Travel Times (90480)
Bruce D Cornuelle1, Ganesh Gopalakrishnan2, Matthew R Mazloff1, Peter F. Worcester1 and Matthew A Dzieciuch1, (1)University of California San Diego, La Jolla, CA, United States, (2)University of California San Diego, SIO, La Jolla, CA, United States
 
Estimating the uncertainty in the modelling of magnetic fields induced by ocean general circulation (91120)
Christopher Irrgang1, Jan Saynisch1 and Maik Thomas2, (1)Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany, (2)Free University of Berlin, Berlin, Germany
 
Impact of Surface Forcing on the Forecast Skill of NCOM-4DVAR (91533)
Scott R Smith1, Charlie N. Barron2, Jan M Dastugue3, Jackie C May2, Clark David Rowley2, Hans Ngodock2, Matthew Carrier2, Peter L Spence4 and Silvia Gremes-Cordero5, (1)U.S. Naval Research Laboratory, Stennis Space Center, MS, United States, (2)Naval Research Laboratory, Stennis Space Center, MS, United States, (3)Naval Research Laboratory SSC, Stennis Space Center, MS, United States, (4)Vencore, Stennis Space Center, MS, United States, (5)University of New Orleans, Stennis Space Center, MS, United States
 
Efficient Ensemble State-Parameters Estimation Techniques in Ocean Ecosystem Models: Application to the North Atlantic (91563)
Mohamad El Gharamti1,2, Ingo Bethke1,3, Jerry Tjiputra1,3 and Laurent Bertino1,2, (1)Bjerknes Centre for Climate Research, Bergen, Norway, (2)Nansen Environmental and Remote Sensing Center, Bergen, Norway, (3)University of Bergen
 
Four dimensional variational reanalysis of Western North Pacific Ocean - system configuration, performance and validation (91847)
Tsuyoshi Wakamatsu1, Norihisa Usui2, Yosuke Fujii2, Yusuke Tanaka1, Nariaki Hirose2, Hiromichi Igarashi1, Takahiro Toyoda3, Shiro Nishikawa1, Haruka Nishikawa1, Yasushi Takatsuki4, Tsurane Kuragano4, Masafumi Kamachi4 and Yoichi Ishikawa1, (1)Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan, (2)Meteorological Research Institute, Ibaraki, Japan, (3)Meteorological Research Institute, Tsukuba, Ibaraki, Japan, (4)Meteorological Research Institute, Tsukuba, Japan
 
State Estimation of the Northern Philippine Sea Circulation (92370)
Ganesh Gopalakrishnan1, Bruce D Cornuelle2, Peter F. Worcester2 and Matthew A Dzieciuch2, (1)University of California San Diego, SIO, La Jolla, CA, United States, (2)University of California San Diego, La Jolla, CA, United States
 
Sea Level Anomaly Assimilation in an Eddy Resolving Model of the South Atlantic (93299)
Vladimir Santos da Costa, UFRJ - Federal University of Rio de Janeiro, Rio de Janeiro, Brazil and Afonso M Paiva, UFRJ Federal University of Rio de Janeiro, Rio De Janeiro, Brazil