**Prof. Marcello Di Risio, Ph.D., Dr. Davide Pasquali, Ph.D. and Dr. Daniele Celli, Ph.D.** Environmental and Maritime Hydraulic Laboratory (LIam), Civil, Construction-Architectural and Environmental Engineering Department, University of L'Aquila, Italy

**IV**

physical experiments.

tsunamis).

energy input and dissipation.

tional cost, thus maintaining acceptable reliability.

ing the more recent improvements in the field.

The section is intended to provide the reader with a detailed description of the latest developments on physical and numerical descriptions of wind-generated and long waves, including some new features discovered in the last few years. The section is organized with the aim to accompany the reader from offshore to nearshore phenomena including a description of wave dissipation including large-scale phenomena (i.e., storm surge and landslide-induced

The first chapter (Chalikov, 2020) in this section describes a set of numerical experiments with a three-dimensional phase-resolving model, aimed to investigate the correct reproduction of surface waves under wind action. Particular attention has been paid by the author to the investigation of the correct reproduction of the

On the theme of numerical simulation of ocean surface waves, and in particular, on the description of input and dissipation source function, the second chapter (Fan et al., 2020) proposes a review on the use of third-generation wave models used in the prediction of tropical cyclone generated surface waves. They also focused on the latest developments in the growing field of coupled atmospherewave-ocean modeling with a particular focus on tropical cyclone predictions.

Moving from short to long wave fields, the third chapter (Pasquali, 2020) proposes a review of the storm surge forecast and hindcast in semi-enclosed basins. The main aim of the work is to present a simplified strategy in storm surge modeling using a mixed approach in which results provided by numerical models have been corrected through statistical techniques (i.e., neural network) or by physical parameters (i.e., the inverse barometric effect) to give fast prediction/hindcast with a low computa-

In the context of long waves, the fourth chapter (Romano, 2020) illustrates a review of physical and numerical modeling of landslide-generated tsunamis with particular attention paid to the most important results achieved in the last ten years. A particular focus is dedicated to the use of Computational Fluid Dynamics (CFD) techniques and approaches in the landslide-generated tsunami modeling highlight-

Shifting the attention from the wave description and propagation to the breaking phenomena, the fifth chapter (De Padova and Mossa, 2020) closes the section of the book proposing a Weakly Compressible Smoothed Particles Hydrodynamics (WCSPH) model. They highlight the ability of meshless methods with a k–ε turbulence closure model in describing different breaker types. Moreover, the performances of the proposed model have been validated against a set of dedicated

Section 1 Geophysics
