This paper presents large-eddy simulations with atmospheric chemistry of four large point
sources world-wide, focusing on the evaluation of NO x (NO+ NO 2) emissions with the …

A nonintrusive data assimilation methodology is developed to improve the statistical
predictions of large-eddy simulations (LES). The ensemble-variational (EnVar) approach …

Estimation of the initial state of turbulent channel flow from limited data is investigated using
an adjoint-variational approach. The data are generated from a reference direct numerical …

The super-temporal-resolution (STR) reconstruction of turbulent flows is an important data
augmentation application for increasing the data reach in measurement techniques and …

Particle tracking velocimetry (PTV) is widely used to measure time-resolved, three-
dimensional velocity and pressure fields in fluid dynamics research. Inaccurate localization …

The vortex-in-cell time-segment assimilation (VIC-TSA) method is introduced. A particle track
is obtained from a finite number of successive time samples of the tracer's position and …

Reynolds-averaged Navier–Stokes (RANS)-based data assimilation has proven to be
essential in many data-driven approaches, including the augmentation of experimental data …

Due to costs and practical constraints, field campaigns in the atmospheric boundary layer
typically only measure a fraction of the atmospheric volume of interest. Machine learning …

Numerical simulations of turbulence provide nonintrusive access to all the resolved scales
and any quantity of interest, although they often invoke idealizations and assumptions that …

Reconstruction of turbulent flow based on data assimilation methods is of significant
importance for improving the estimation of flow characteristics by incorporating limited …