Measuring lateral heat flux across a front
Barry Ruddick
Department of Oceanography
Dalhousie University
2:30 p.m., Thursday, January 27, 2011
No seminar this week
Thursday, February 3, 2011
No seminar this week
Thursday, February 10, 2011
The Madden-Julian Oscillation: A 100-year reconstruction and a statistical model for a canonical event
Eric Oliver
Department of Oceanography
Dalhousie University
2:30 p.m., Thursday, February 17, 2011
Model validation using the mean sea surface topography
Simon Higginson
Department of Oceanography
Dalhousie University
2:30 p.m., Thursday, February 24, 2011
Addressing the error in marine biogeochemical and coastal hydrodynamic models
Emlyn Jones
CSIRO Marine and Atmospheric Research
Hobart, Australia
2:30 p.m., Thursday, March 3, 2011
Marine hydrodynamic and biogeochemical models are essential tools for the assessment and prediction of issues ranging from the effects of global climate change through to the response of bays and estuaries to point-source nutrient loads. There has been a substantial effort to quantify and explore hydrodynamic and biogeochemical model error, using a variety of techniques under the general headings of model-data fusion or data assimilation. We focus on two distinctly different approaches to reduce and/or quantifying model error:
1.) An Ensemble Optimal Interpolation (EnOI) data assimilation scheme is applied to a coastal hydrodynamical model of south-east Tasmania, Australia, and;
2.) Bayesian Hierarchical Modeling in a 0-D BGC mixed-layer model of Ocean Station Papa in the north-east Pacific Ocean.
The EnOI system used in the hydrodynamic model corrects for errors in the forcing data and initial conditions and uses observational data from a mooring array and Slocum Gliders. The EnOI algorithm, in its current form, is unable to give any estimates of the uncertainty in the model parameters and suffers from a number of underlying assumptions. On the other hand, Bayesian Hierarchical Modeling (BHM) provides a rigorous probabilistic framework to account for uncertainty in parameters, state variables, and initial conditions in the presence of .noisy. and incomplete data. The BHM framework can incorporate prior knowledge about uncertain quantities, using probability distributions, for model parameters and/or the initial conditions for state variables. Bayesian inference yields a joint posterior probability distribution for the model state and parameters given the data. However, our current inference engine is computationally very expensive and presently intractable in 3D problems. To demonstrate the BHM framework we have applied it to a simple 0D mixed layer BGC model (NPZD).Using twin-experiments and the historical Ocean Station P dataset we investigate what we can really learn about the state and model parameters for BGC systems,under different observation scenarios.
BIO: "Emlyn Jones is working as a post-doc at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) located in Hobart, Australia. He completed his PhD at Flinders University, South Australia in 2009. His background is in numerical modelling (waves and hydrodynamics) and sediment-pelagic interactions. Before working on new model-data fusion techniques he admits to often tuning and calibrating deterministic models in an ad-hoc manner, but now realises that perhaps there was/is a better way ... "
No seminar this week
Thursday, March 10, 2011
No seminar this week
CDOGS March 18
Thursday, March 17, 2011
No seminar this week
Thursday, March 24, 2011
A Multi-Nested Ocean Circulation Model for Halifax Harbour
Shiliang Shan
Department of Oceanography
Dalhousie University
2:30 p.m., Thursday, March 31, 2011
No seminar this week
Thursday, April 7, 2011
Numerical investigation of interannual variability of circulation and hydrography over the Eastern Canadian Continental Shelf
Jorge Urrego
Department of Oceanography
Dalhousie University
4:30 p.m., Thursday, April 14, 2011
No seminar this week
Thursday, April 21, 2011
Title: Implementation of a data assimilation scheme into a circulation model of the North Atlantic
Vasily Korabel
Department of Oceanography
Dalhousie University
4:00 p.m., Rm. 3655, Thursday, April 28, 2011
Internal waves and dissipation in the St Lawrence Estuary
Clark Richards
Department of Oceanography
Dalhousie University
4:00 p.m., Thursday, May 5, 2011
First time integration of the Two-Scale Approximation: Progress towards a new wave-wave interaction term in operational wave models
Jean-Pierre Auclair
Department of Oceanography
Dalhousie University
4:00 p.m., Thursday, May 12, 2011
Spiral Arms and Mixing in the NE Atlantic: a "stirring" story
Barry Ruddick
Department of Oceanography
Dalhousie University
4:00 p.m., Thursday, May 19, 2011
On the Vertical and Temporal Structure of Flow and Stress within the Turbulent Oscillatory Boundary Layer Above Evolving Sand Ripples
Alex Hay
Department of Oceanography
Dalhousie University
7:30 p.m., Thursday, May 26, 2011
Special Seminar
How Do We Take Ocean Forecasting Beyond Persistence?
Gary Brassington
Bureau of Meteorology
Australia
3:00 p.m., Wednesday, June 21, 2011
Gary will discuss problems that arise when trying to predict the ocean mesoscale. The talk will use a combination of observations, complex and idealized ocean models, and ocean dynamics. The seminar will be informal with lots of opportunities to ask questions.
Special Seminar
Surface gravity waves and their impact on the larger scale flow:
Thickness-weighted mean theory
Richard Greatbatch
IFM-GEOMAR
Kiel, Germany
4:00 p.m., Thursday, July 28, 2011