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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
Florida State University (FSU), 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 Cal/Val in the separated Gulf Stream. Earth and Space Sci.

Yadidya, B., B. Arbic, J. Shriver, E. Zaron, M. Buijsman, L. Carrere, ... & T. Uchida. Predictability of phase-locked and non-phase-locked internal tides in the SWOT Cal/Val orbit. Earth and Space Sci.

Uchida, T., A. Bodner, B. Reichl, A. Adcroft, B. Fox-Kemper, M. Ilicak, M. Bentsen & others. Representation of surface mixed-layer eddies affect the large-scale ventilation of the global ocean. Geophys. Res. Lett.

Sun, L., T. Uchida T. Penduff, W. Dewar, B. Deremble, A. Poje, E. Chassignet & others. On the dynamics of the subtropical mode water from an ensemble view. J. Phys. Oceanogr.

Richards, C., B. Ervens, C. Parmesan, P. Amato, C. Andrade, G. Asatryan, ..., T. Uchida & others. Multidisciplinary science funding is more than ever a planetary priority: Reflections from the Make Our Planet Great Again (MOPGA) program. Proc. Nat. Acad. Sci.

Published

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. 2025.

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.

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, 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.

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., 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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