Adjoint approaches to assessing local vulnerability to buoyant surface plumes

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Adjoint approaches to assessing local vulnerability to buoyant surface plumes

Spreading of a buoyant surface plume modeled using MITgcmPrompted by the recent spill in the Gulf of Mexico, Ross Tulloch, Chris Hill and Oliver Jahn have been using MITgcm to compute the vulnerability of individual locations to remote buoyant surface plumes.


Modeling Nordic Seas

Modeling the Denmark Strait circulation using MITgcmThis month we look at work by Tom Haine, Professor of Physical Oceanography at Johns Hopkins University who is using MITgcm to model high-frequency fluctuations in the flow through the Denmark Strait…


OCCA

Surface height anomaly from OCCAThis month we focus on work by Gael Forget and the ECCO team who have been using MITgcm to construct a new ocean atlas. By using MITgcm as a means of optimally synthesising data within the framework of a physically accurate general circulation model, OCCA (short for OCean Comprehensible Atlas) provides a singularly accurate 3-year “snap-shot” of the global ocean state for the period December 2003 to November 2006…


Anthropogenic CO2 transport in the Southern Ocean.

In and out: Driven by winds, the Southern Ocean's currents (blue globe) transport CO2 (red) northward. Credit: T. Ito et al., Nature 463 (2010)Taka Ito, Molly Woloszyn and Matt Mazloff have been studying anthropogenic CO2 transport in the Southern Ocean. Using MITgcm’s adjoint and offline capabilities, the team find a clear correlation between the pattern of carbon uptake and oceanic vertical exchange in strong support of wind-driven primary regulation of Southern Ocean ACO2 transport…


Planet-in-a-Bottle

Figure 1. The components of the system: The laboratory observatory consists of a physical system: a rotating table on which a tank, camera and control system for illumination are mounted. The computational part consists of a measurement system for velocimetry, a numerical model (MITgcm), and an assimilation system.
Work by Sai Ravela, John Marshall, Chris Hill, Andrew Wong and Scott Stransky in which they use MITgcm to provide the virtual analogue for a fluid lab experiment in the physical laboratory. This is part of an effort to demonstrate how to achieve real-time model-data synthesis, using measurements from a roboticaly controlled automated sensor system…