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About me

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Publications

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Research interests

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About me

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.

Positions held

Senior Researcher
Moscow Institute of Physics and Technology (МФТИ), Russia
2025-present

Assistant Research Scientist
Center for Ocean-Atmospheric Prediction Studies (COAPS), USA
2022-2024

MOPGA Postdoctoral Research Fellow
Centre National de la Recherche Scientifique (CNRS), France
2019-2022

Education

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

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Publications

Submitted

Uchida, T., B. Yadidya, K. Lapo, X. Xu, J. Early, B. Arbic, D. Menemenlis & others. Dynamic-Mode Decomposition of Geostrophically Balanced Motions from SWOT Altimetry. J. Geophys. Res.: Oceans.

Uchida, T., Q. Jamet, A. Poje, N. Wienders, L. Sun & W. Dewar. Dynamics and thermodynamics of the Boussinesq North Atlantic eddy kinetic energy spectral budget. J. Adv. Model. Earth Sys.

Richards, C., B. Ervens, C. Parmesan, P. Amato, C. Andrade, G. Asatryan, ..., T. Uchida & others. Addressing global environmental challenges requires interdisciplinary science programs: Lessons learned from the Franco-German "Make Our Planet Great Again" (MOPGA) initiative. Proc. Nat. Acad. Sci.

In preparation

Uchida, T., A. Bodner, B. Reichl, A. Adcroft & B. Fox-Kemper. Surface Mixed-Layer Eddies Affect the Large-Scale Ventilation of the Global Ocean.

Uchida, T., B. Deremble & W. Dewar. A stochastic model for eddy dynamics in a quasi-geostrophic double gyre.

Sun, L., T. Penduff, W. Dewar, B. Deremble & T. Uchida. Thickness-weighted averaged subtropical mode-water dynamics in an eddying North Atlantic ensemble.

Published

Uchida, T., Q. Jamet, A. Poje, N. Wienders & W. Dewar. Wavelet-based wavenumber spectral estimate of eddy kinetic energy: Application to the North Atlantic. Ocean Model. 2024.

Uchida, T., Q. Jamet, W. Dewar, B. Deremble, A. Poje & L. Sun. Imprint of chaos on the ocean energy cycle from an eddying North Atlantic ensemble. J. Phys. Oceanogr. 2024.

Deremble, B., T. Uchida, W. Dewar & R. Samelson. Eddy-mean flow interaction with the Multiple Scale Quasi-Geostrophic Model. J. Adv. Model. Earth Sys. 2023.

Chassignet, E., X. Xu, A. Bozec, & T. Uchida. Impact of the New England seamount chain on Gulf Stream pathway and variability. J. Phys. Oceanogr. 2023.

Uchida, T., Q. Jamet, A. Poje, N. Wienders, W. Dewar & B. Deremble. Wavelet-based wavenumber spectral estimate of eddy kinetic energy: Idealized quasi-geostrophic flow. J. Adv. Model. Earth Sys. 2023.

Uchida, T., D. Balwada, Q. Jamet, W. Dewar, B. Deremble, T. Penduff & J. Le Sommer. Cautionary tales from the mesoscale eddy transport tensor. Ocean Model. 2023.

Uchida, T., J. Le Sommer, C. Stern, R. Abernathey, C. Holdgraf, A. Albert, L. Brodeau & others. Cloud-based framework for inter-comparing submesoscale permitting realistic ocean models. Geosci. Model Dev. 2022.

Uchida, T., Q. Jamet, W. Dewar, J. Le Sommer, T. Penduff & D. Balwada. Diagnosing the thickness-weighted averaged eddy-mean flow interaction from an eddying North Atlantic ensemble, Part I: The Eliassen-Palm flux. J. Adv. Model. Earth Sys. 2022.

Uchida, T., B. Deremble & S. Popinet. Deterministic model of the eddy dynamics for a midlatitude ocean model. J. Phys. Oceanogr. 2022.

Uchida, T., Q. Jamet, A. Poje & W. Dewar. An ensemble-based eddy and spectral analysis, with application to the Gulf Stream. J. Adv. Model. Earth Sys. 2021.

Khatri, H., S. Griffies, T. Uchida, H. Wang & D. Menemenlis. Role of mixed-layer instabilities in the seasonal evolution of eddy kinetic energy spectra in a global submesoscale permitting simulation. Geophys. Res. Lett. 2021.

Uchida, T., B. Deremble, W. Dewar & T. Penduff. Diagnosing the Eliassen-Palm flux from a quasi-geostrophic double gyre ensemble. In proceedings of the EarthCube Annual Meeting. 2021.

Uchida, T., B. Deremble & T. Penduff. The seasonal variability of the ocean energy cycle from a quasi-geostrophic double gyre ensemble. Fluids. 2021.

Jamet, Q., B. Deremble, N. Wienders, T. Uchida & W. Dewar. On wind-driven energetics of subtropical gyres. J. Adv. Model. Earth Sys. 2021.

Jones, S., J. Busecke, T. Uchida & R. Abernathey. Vertical regridding and remapping of CMIP6 ocean data in the cloud. In proceedings of the EarthCube Annual Meeting. 2020.

Uchida, T., D. Balwada, R. Abernathey, G. McKinley, S. Smith & M. Lévy. Vertical iron fluxes support primary production in the open Southern Ocean. Nature Comm. 2020.

Uchida, T., D. Balwada, R. Abernathey, G. McKinley, S. Smith & M. Lévy. The contribution of submesoscale over mesoscale eddy iron transport in the open Southern Ocean. J. Adv. Model. Earth Sys. 2019.

Uchida, T., D. Balwada, R. Abernathey, C. Prend, E. Boss & S. Gille. Southern Ocean Phytoplankton Blooms Observed by Biogeochemical Floats. J. Geophys. Res.: Oceans. 2019.

Uchida, T., R. Abernathey & S. Smith. Seasonality of eddy kinetic energy in an eddy permitting global climate model. Ocean Model. 2017.

Non-refereed

Uchida, T. Seasonality in surface (sub)mesoscale turbulence and its impact on iron transport and primary production. Ph.D. Thesis. 2019.

Uchida, T. Analysis of Island-trapped Waves off the Izu-Islands. B.E. Thesis. 2014.

Selected oral & poster presentations

Uchida, T. Introduction to Dynamic-Mode Decomposition. COAPS seminar series. Apr. 2024. FL, USA.

Uchida, T., D. Balwada, Q. Jamet, W. Dewar, B. Deremble, T. Penduff & J. Le Sommer. Is there any hope in the mesoscale eddy transport tensor in parametrizing sub-grid eddy dynamics? COAPS seminar series. Feb. 2023. FL, USA.

Uchida, T., D. Balwada, Q. Jamet, W. Dewar, B. Deremble, T. Penduff & J. Le Sommer. Cautionary tales from the mesoscale eddy transport tensor. 2023 DRAKKAR Ocean Mod. Workshop. Feb. 2023. Grenoble, France.

Uchida, T., Q. Jamet, W. Dewar, D. Balwada, J. Le Sommer & T. Penduff. Towards a potential vorticity based mesoscale closure scheme. CESM Ocean Model Working Group Meeting. Feb. 2021.

Uchida, T., D. Balwada, R. Abernathey, G. McKinley, S. Smith & M. Lévy. A Mechanistic Understanding on Eddy Iron Transport in the Southern Ocean. AMS 22nd Conference on AOFD. Jun. 2020. Portland, Maine, USA.

Uchida, T., R. Abernathey, G. McKinley, S. Smith, D. Balwada & M. Lévy. Seasonality in eddy iron fluxes and its impact on primary production. AGU Fall Meeting. Dec. 2018. Washington D.C., USA.

Uchida, T., R. Abernathey, G. McKinley, S. Smith, D. Balwada & M. Lévy. Seasonality of eddy iron fluxes in the Southern Ocean and its impact on primary production. NHOM-Brest: Workshop on Non-Hydrostatic Ocean Mod. Oct. 2018. Brest, France.

Uchida, T., R. Abernathey, S. Smith & D. Balwada. Idealized Study of Seasonal Dynamics in the Southern Ocean. Gordon Research Conference. Jun. 2018. Andover, USA.

Uchida, T., R. Abernathey & S. Smith. The global seasonal cycle of mixed layer instability in a GCM. AMS 21st Conference on AOFD & 19th Conference on Mid. Atmos. Jun. 2017. Portland, USA.

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Big-data Oceanography

xwavelet
xwavelet is a Python package for taking the continuous wavelet transform on xarray and dask arrays. It keeps the metadata of the original dataset and provides a clean work flow.

xrft
xrft is a Python package for taking the fast Fourier transform (FFT) on xarray and dask arrays. It keeps the metadata of the original dataset and provides a clean work flow of FFT.

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.

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