Embedded Files
I am interested in the mathematical modeling of physics relevant to ocean turbulence.
I am excited about many mathematical tools: stochastic methods, asymptotic analysis, and statistical inference. Numerically solving equations also plays an important part in my work.
Writings:
Writings:
“Remember kids, the only difference between screwing around and science is writing it down.” ― Adam Savage
Submitted:
Submitted:
5. Dù, R.S., Smith K.S., 2024. Emergent vorticity asymmetry of one and two-layer shallow water system captured by a next-order balanced model. In revision at Journal of Fluid Mechanics. [arXiv]
Peer reviewed:
Peer reviewed:
4. Dù, R.S., Smith K.S., Bühler, O., 2025. Next-order balanced model captures submesoscale physics and statistics. Journal of Physical Oceanography. [doi][arXiv]
3. Dù, R.S., Bühler, O., 2023. The Impact of Frequency Bandwidth on a One-Dimensional Model for Dispersive Wave Turbulence. Journal of Nonlinear Science 33, 81. [doi][pdf]
2. Du, R.S., Liu, L., Ng, S., Sambandam, S., Hernandez Adame, B., Perez, H., Ha, K., Falcon, C., de Rutte, J., Di Carlo, D., Bertozzi, A.L., 2021. Statistical energy minimization theory for systems of drop-carrier particles. Physical Review E 104, 015109. [doi][pdf]
Reports:
Reports:
1. Lindstrom, M.R., Du, R.S., Ng, X.Y., Diaz, D., Koulikova, M., Nero, M., Ross, H., Shukla, S., Bertozzi, A., Brantingham, P.J., 2019. Using local geographic features to predict changes in the Los Angeles homeless population. UCLA CAM Report 19-62. [ftp]
Presentations:
Presentations:
Balanced ocean submesoscale motions beyond geostrophy: mathematical modelling in the context of SWOT
at WHOI Physical Oceanography Seminar, August 2025 (invited)
Next-order in Rossby SQG+1 model for reconstructing velocity from sea surface height
at AGU Annual Meeting (AGU24), December 2024
Next-order balanced model for shallow water captures vorticity asymmetry
at AGU Annual Meeting (AGU24), December 2024
Next-order balanced model captures submesoscale physics and statistics,
at AGU Ocean Sciences Meeting (OSM24), February 2024
SQG+1 as a Model for Submesoscale Asymmetry,
at FilaChange 2022, August 2022 (funded by the conference travel grant).
Domain dependence of wave turbulence theory for the Majda-McLaughlin-Tabak (MMT) model,
at the 23rd Conference on Atmospheric and Oceanic Fluid Dynamics (AOFD23), June 2022;
and the 2022 Gordon Conference: Ocean Mixing, June 2022 (partially funded by the conference).
Presenting at Ocean Sciences meeting 2024
Unrefereed short notes:
Unrefereed short notes:
These are short notes that I think are useful to share but will not become articles.
Dù, R.S., 2023. Learning the Evolution of Statistical Moments and Extreme Values from Data. [pdf]
This note presents an easy way to diagnose the change in statistical moments and extremes from time-series data. It is simple to implement and versatile. We think it is most useful as a tool to quickly explore the time evolution of interesting quantities in data.
Dù, R.S., 2023. Plotting and Fitting Power-Laws. [pdf]
Data following power-laws are ubiquitous in applied fields. In this note, we examine how one should diagnose the power-law exponent from data and how one should plot these data. One of our conclusion is that: linear regression on the log-log form of the data is not always appropriate.
Page updated
Google Sites
Report abuse