research
past and present interests:
sea level
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exploration into the regional patterns and drivers of sea level change** linking ocean bottom pressure, steric height, and cross-shelf density structure and transport
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high resolution regional downscaling of climate models identifying improvements in coastal sea level predictions across weekly to inter-annual timescales
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improved representation of sea level relevant processes in climate models non-Boussinesq configurations, interactive ice-sheet, self-attraction and loading parameterizations, boundary current representation
postdoc projects
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Ocean Transport and Eddy Energy Climate Process Team (w/ S. Cole, E. Yankovsky, S. Smith, L. Zanna, K. Drushka, …) Mesoscale turbulence represents a major fraction of oceanic kinetic energy yet these motions are only at best partly resolved in global climate models. This research incorporates in-situ and remote sensing measurements of ocean eddies to better understand what sets the distribution of energy across horizontal and vertical scales with the intent of improving parameterizations in coarse models.
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NASA Ocean Surface Topography from Space: 30-Year Satellite-Altimeter Record or Regional Sea-Level Change (w C. Piecuch, B. Hamlington, P. Thompson, S. Coats) While global mean trends in sea level have remained positive over the last 30 years, regional trends vary significantly in space and time. To better understand the physical drivers of these observed trends, we used the ECCO state estimate along with remotely observed and in-situ measurements, to quantify relationships among ocean bottom pressure, steric height, and sea level.
mesoscale turburlence
scale energy flux (inverse and forward cascades)
eddy vertical structure
- surface projection of interior motions: reconstructing interior flows from surface observations
- role of bathymetry in setting the partitioing of barotropic and baroclinic kinetic energy
- drivers of kinetic energy dissipation at the sea floor
coherent vortex evolution and decay
eddy tracking (in-situ, remotely sensed), material transport, and applied topology (contour trees, eddy geometries, and connectedness)
Autonomous Underwater Vehicles: Seaglider, Deepglider
this photo shows coordinating efforts to use altimeter derived surface velocities while piloting gliders to sites of interest (2019)
a Deepglider deployment in Bermuda 2018