Traditional tsunami forecasting methods are based on seismic observations. The
development of offshore observational devices makes it possible to utilize offshore tsunami …

The proper orthogonal decomposition (POD) has been widely used in fluid dynamic
applications for extracting dominant flow features. The “gappy” POD is an extension to this …

Compressive sensing is used to determine the flow characteristics around a cylinder
(Reynolds number and pressure/flow field) from a sparse number of pressure …

We present an interpolation method for efficient approximation of parametrized functions.
The method recognizes and exploits the low‐dimensional manifold structure of the …

Using simulation results from three different regional ocean models (HOPS, ROMS and
FVCOM) we show that only a few spatio-temporal POD (proper orthogonal decomposition) …

Abstract The Eastern Mediterranean Basin (EMB) is under the threat of tsunami events
triggered by various causes including earthquakes and landslides. We propose a …

We present a new data-driven model to reconstruct nonlinear flow from spatially sparse
observations. The proposed model is a version of a Conditional Variational Auto-Encoder …

Sparse linear estimation of fluid flows using data-driven proper orthogonal decomposition
(POD) basis is systematically explored in this work. Fluid flows are manifestations of …

The reconstruction of fine-scale information from sparse data measured at irregular locations
is often needed in many diverse applications, including numerous instances of practical fluid …

Recently, there are numerous tsunami observation networks deployed in several major
tsunamigenic regions. However, guidance on where to optimally place the measurement …