A physical oceanographer with a flair of geophysical fluid dynamics and data science. I have a strong interest in (sub)mesoscale turbulence in the surface ocean and how it interacts with the large-scale ocean circulation and biogeochemistry. I approach the problems by analyzing big data outputs from general circulation models, idealized numerical simulations and remote-sensed observations.
Assistant research scientist
Center for Ocean-Atmospheric Prediction Studies (COAPS), USA
2022-present
MOPGA postdoctoral research fellow
Centre Nationale de la Recherche Scientifique (CNRS), France
2019-2022
Ph.D. - Physical Oceanography
Columbia University in the City of New York, USA
2014-2019
Summer School - Turbulence Theory in Climate Dynamics
École de Physique des Houches, France
August 2017
B.E. - Ocean Engineering
The University of Tokyo, Japan
2010-2014
Balwada, D., S. Smith, T. Uchida & R. Abernathey. Eddy transport tensor in a zonally inhomogeneous ocean channel.
Uchida, T., B. Deremble & W. Dewar. A stochastic model for eddy dynamics in a quasi-geostrophic double gyre.
Sun, L., T. Uchida, T. Penduff & W. Dewar. Diagnosing the thickness-weighted averaged eddy-mean flow interaction from an eddying North Atlantic ensemble, Part III: On mode waters.
Uchida, T. Analysis of Island-trapped Waves off the Izu-Islands. B.E. Thesis. 2014.
Consistent OceaN Turbulence for ClimaTe Simulators
CONTaCTS is a project aiming to study and parameterize (sub)mesoscale momentum fluxes where it is critical: within the surface and bottom boundary layers of the ocean, where it interacts with the atmosphere and topography. We propose to develop such parameterizations for O(10km) resolution models, based on the analysis of existing O(1km) resolution North Atlantic simulations (eNATL60).
Bioproductivity in the open Southern Ocean
I am interested in the impact of eddy fluxes on the transport of momentum and tracers such as carbon and nutrients, and how this affect the bioproductivity in the Southern Ocean. The Southern Ocean is know as one of the high-nutrient low-chlorophyll zones, with the limiting nutrient being iron. This makes the biological pump of carbon in the region very sensitive to influx of iron, yet our insights into the pathways of iron are limited. My interest has been to quantify the relative impact of supply by the ocean dynamics. Below is a list of packages I have developed and/or contributed to for my analysis.
xrft
xrft is a Python package for taking the discrete Fourier transform (DFT) on xarray and dask arrays. It keeps the metadata of the original dataset and provides a clean work flow of DFT.
xomega
xomega is a Python package for inverting the generalized Omega equation given the right-hand side of the equation. It solves the inversion in Fourier space and provides an efficient work flow.
oceanmodes
oceanmodes is a Python package for linear quasigeostrophic normal mode analysis given the background state of velocity and density profile.