Changes in ocean ventilation: deconvolutions of hydrographic data and modeling

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How the ventilation of the ocean is changing is one of the most important questions in climate science. This project aims to unlock the information that these changes imprint on observed dissolved gases, nutrients, radiocarbon, temperature, and salinity. Maximum-entropy inversions applied to hydrographic data collected under the international GO-SHIP initiative and to historical data will quantify decadal changes in ventilation in terms of the ocean’s fundamental surface-to-interior propagator. This allows rigorous connections between changes in ocean ventilation and the carbon and energy balance of the climate system. Numerical experiments with state-of-the-art ocean models will elucidate the dynamics driving ventilation changes.

The ideal candidate will be a highly motivated independent thinker with a strong background in applied mathematics and physics or in a closely allied field. A strong academic background as evidenced by a high GPA is a must, as are excellent communication skills, particularly the ability to write with clarity and concision. Prior research experience and authorship on published research articles would be a definite asset. The candidate should have a clear vision of how their PhD research experience will fit into their broader career plans.

Supervisory team

Mathematics & Statistics

Johns Hopkins University (SHARP at UNSW)
Earth and Planetary Sciences

UNSW CCRC, ARC COE for climate extremes
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