Ocean Current Estimation Using a Multi-Model Ensemble Kalman Filter During the Grand Lagrangian Deployment Experiment (GLAD)

Abstract

In the summer and fall of 2012, during the GLAD experiment in the Gulf of Mexico, the Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE) used several ocean models to assist the deployment of more than 300 surface drifters. The Navy Coastal Ocean Model (NCOM) at 1 km and 3 km resolutions, the US Navy operational NCOM at 3 km resolution (AMSEAS), and two versions of the Hybrid Coordinates Ocean Model (HYCOM) set at 4 km were running daily and delivering 72-h range forecasts. They all assimilated remote sensing and local profile data but they were not assimilating the drifter's observations. This work presents a non-intrusive methodology named Multi-Model Ensemble Kalman Filter that allows assimilating the local drifter data into such a set of models, to produce improved ocean currents forecasts. The filter is to be used when several modeling systems or ensembles are available and/or observations are not entirely handled by the operational data assimilation process. It allows using generic in situ measurements over short time windows to improve the predictability of local ocean dynamics and associated high-resolution parameters of interest for which a forward model exists (e.g. oil spill plumes). Results can be used for operational applications or to derive enhanced background fields for other data assimilation systems, thus providing an expedite method to non-intrusively assimilate local observations of variables with complex operators. Results for the GLAD experiment show the method can improve water velocity predictions along the observed drifter trajectories, hence enhancing the skills of the models to predict individual trajectories.

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Document Details

Document Type
Technical Report
Publication Date
Dec 27, 2014
Accession Number
AD1005754

Entities

People

  • A. C. Haza
  • A. Griffa
  • A. J. Mariano
  • A. Jr D. Kriwan
  • Andrew C. Poje
  • B. Jr L. Lipphardt
  • Brian K. Haus
  • D. Bogucki
  • E. H. Ryan
  • Emanuel F. Coelho
  • F. Beron-vera
  • G. Novelli
  • Gregg Jacobs
  • H. S. Huntley
  • J. Olascoaga
  • Milan Curcic
  • P. Hogan
  • Prasad G. Thoppil
  • S. S. Chen
  • Tamay M. Özgökmen

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Data Processing
  • Data Science
  • Databases
  • High Resolution
  • Information Science
  • Kalman Filters
  • Kinetic Energy
  • Mathematical Filters
  • Ocean Currents
  • Oceans
  • Particles
  • Probability
  • Probability Distributions
  • Remote Sensing
  • Sequential Monte Carlo Methods
  • Standards
  • Surface Temperature

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Science/Meteorology
  • Coastal Oceanography