Computational fluid dynamics simulations of gravity wave flows

During swell conditions the wind can both be aligned and opposed with the direction of the swell (see Ch. The flow response to these two situations is radically different. As

Figure 68 shows the FK plot of the up-going wave field error due to perturbing particle velocity wave field by dead channels (Left) and polarity reversal (Right) at perturbation

Synthetic time-series with piecewise constant φ and σ 2 (top left); AWS estimates of the autocorrelation coefficient (solid lines, top right) and variance (solid lines, bottom

A comparison of total pesticide concentrations (sum of endosulfan, chlorpyrifos, dacthal, HCB, γ - and α -HCH, dieldrin, DDTs and chlordane) in lichen samples collected under the

However, in average over the image, the effect of coregistration error will then be larger than the photon noise. An increase in detector pixel size, keep- ing the same imaging

The drag-law is a central part of the Eulerian-Lagrangian dispersed flow model, and it is therefore of interest to compare the results obtained with different models for particle

The dense gas atmospheric dispersion model SLAB predicts a higher initial chlorine concentration using the instantaneous or short duration pool option, compared to evaporation from

The other variables, from AeroCom Phase II model simulations, are the total short-wave cloud radiative effect (SW_CRE), cloud fraction (CLD_FR), weighted cloud height (CL_ALT),