AEF- Accurate Environmental Forecasting
HOME WHO WE ARE THE AEF ADVANTAGE IN THE NEWS CONTACT US
Hurricane Modeling
Atlantic Hurricane Catalog
Hurricane Climate Risk Index
Real-time Forecast Systems
Register to view our Forecasting Examples here.
Forecasting Examples
Rapid Response Post Landfall System
Industry Insured Loss Forecasts
Historical Storm Analysis System
Ocean Modeling
Project Summary
Publication Abstracts
Client Login
Ocean Modeling - U.S. Minerals Management Services

U.S. Minerals Management Services

Numerical modeling of currents near
the continental slope of the Gulf of Mexico

Project Summary

With recent technological developments, the oil industry is now capable of drilling in deeper water for oil and gas extraction at costs that are commercially viable. Mineral resources under the continental slope and rise of the Gulf of Mexico are now within practical reach of offshore drilling operations, and the oil industry is likely to apply for more leases and operating licenses in these areas. There is thus an emerging critical need to determine the environmental impacts of oil and gas extraction operations over the slope and rise of the Gulf of Mexico. As part of its response to this need, the U. S. Minerals Management Service awarded AEF a four year contract to perform process-oriented research directed towards furthering the basic scientific understanding of the currents that occur near the continental slope, rise, and shelf in the Gulf of Mexico.

AEF designed a scientific strategy to elucidate the fundamental dynamical effects of flow-topography interaction, specifically Loop Current Eddy interactions with topography and interactions of currents with submarine canyons, on slope, rise, and shelf circulation and the larger-scale deep-water circulation of the Gulf of Mexico. Physical processes responsible for water mass exchange between the shelf and the deeper regions of the Gulf of Mexico are of particular interest. The primary goal of the research is the development of a correct physical understanding of the processes of flow-topography interaction that would then provide a foundation for improving the predictive capabilities of numerical models of Gulf of Mexico circulation. The specific scientific focus is cross- and near-shelf circulation driven by interactions between canyon and slope bathymetry and currents including Loop Current Eddies, other eddy features, topographic Rossby waves, and mean and time varying along slope currents. Verification of the processes represented in our models will be guided, as appropriate, by rigorous comparison with available data.

Our numerical modeling program employs two models. All experiments requiring faithful representation of either complete primitive equation physics or realistic representation of the basin scale Gulf of Mexico circulation employ our primitive equation model. The model is configured with a highly accurate and innovation movable nested-mesh grid system that is uniquely suited to better represent the essential smaller-scale processes during Loop current eddy interactions with topography and current interactions with canyons while preserving the dynamical context of the larger-scale Gulf of Mexico circulation. When appropriate, idealized experiments are performed in the simpler computational, conceptual, and diagnostic framework provided by our multi-layer intermediate equation model. The relationship between the two models is synergistic: the nested-grid model is the primary tool, and the intermediate equation model provides a superior level of diagnostics which enable a more thorough understanding of the nested-grid model results. Although our focus during the term of this research program is on improving the understanding of the basic dynamics governing flow-topography interaction, the movable nested-mesh model will evolve towards a state-of-the-art ocean forecast system for the Gulf of Mexico circulation by the end of our program.


Home | Who We Are | The AEF Advantage | Contact Us | Hurricane Modeling | Ocean Modeling | News

(c)2004, Accurate Environmental Forecasting, Inc. All rights reserved.