TY - BOOK

T1 - Large-Eddy simulation of nocturnal radiation fog

T2 - advances in microphysical representation and process-level evaluation

AU - Schwenkel, Johannes

PY - 2023

Y1 - 2023

N2 - Fog is characterized by the presence of liquid or solid water particles in the vicinity of Earth’s surface, that leads to a reduction in visibility to less than 1 km. This reduced visibility poses a significant threat to humans, especially in transportation. However, numerical weather prediction (NWP) models still frequently fail to predict fog correctly. This can be attributed to small-scale processes, which interact with one another on different scales. The research presented in this thesis consists of four research articles and aims to represent, understand, and quantify the significant processes during the life cycle of fog using highly resolved large- eddy simulation (LES). The first study investigates the effect of different microphysical parametrization on simu- lating fog. As found by other research, the number of cloud droplets is a crucial parameter determining the fog depth and the time of fog dissipation, which is, however, a fixed para- meter in many numerical models. After major model development to include a prognostic equation of the cloud droplet number concentration and schemes for activation and diffusio- nal growth, the error made by commonly used microphysical parameterizations (cloud bulk models) for simulating fog was evaluated. It was found that simulated fog reacts sensitive- ly to the method of calculating supersaturation, which determines the number of activated droplets. However, bulk cloud models like the one used in the first study are not suitable to remedy their immanent limitations, such as prescribing the shape of the cloud droplet size distribution (DSD) rather than simulating it. In the second study, an advanced method in cloud modeling (a so-called particle-based method) was applied for the first time to simulate fog. It was found that the shape of DSD in fog undergoes a temporal development. Moreover, compared to the particle-based microphysics, the bulk cloud model tends to overestimate the droplet number concentration but underrate droplet sedimentation. The subject of the third study was a model intercomparison of LES and single-column models (SCMs) for a radiation fog event. The study revealed significant differences between the SCMs (which are based on NWP models), but the LES models also showed a non-uniform picture. The representation of microphysics has been identified as the primary source of uncertainty in the simulation of fog, but with surface-layer fluxes also contributing to the uncertainty. The final study in this thesis discusses the influence of nocturnal fog on the evolution of the daytime boundary layer. The simulation results indicate that failing to resolve nocturnal fog leads to a faster boundary layer development, i.e., a higher temperature within the boundary layer and a higher inversion height during daytime.

AB - Fog is characterized by the presence of liquid or solid water particles in the vicinity of Earth’s surface, that leads to a reduction in visibility to less than 1 km. This reduced visibility poses a significant threat to humans, especially in transportation. However, numerical weather prediction (NWP) models still frequently fail to predict fog correctly. This can be attributed to small-scale processes, which interact with one another on different scales. The research presented in this thesis consists of four research articles and aims to represent, understand, and quantify the significant processes during the life cycle of fog using highly resolved large- eddy simulation (LES). The first study investigates the effect of different microphysical parametrization on simu- lating fog. As found by other research, the number of cloud droplets is a crucial parameter determining the fog depth and the time of fog dissipation, which is, however, a fixed para- meter in many numerical models. After major model development to include a prognostic equation of the cloud droplet number concentration and schemes for activation and diffusio- nal growth, the error made by commonly used microphysical parameterizations (cloud bulk models) for simulating fog was evaluated. It was found that simulated fog reacts sensitive- ly to the method of calculating supersaturation, which determines the number of activated droplets. However, bulk cloud models like the one used in the first study are not suitable to remedy their immanent limitations, such as prescribing the shape of the cloud droplet size distribution (DSD) rather than simulating it. In the second study, an advanced method in cloud modeling (a so-called particle-based method) was applied for the first time to simulate fog. It was found that the shape of DSD in fog undergoes a temporal development. Moreover, compared to the particle-based microphysics, the bulk cloud model tends to overestimate the droplet number concentration but underrate droplet sedimentation. The subject of the third study was a model intercomparison of LES and single-column models (SCMs) for a radiation fog event. The study revealed significant differences between the SCMs (which are based on NWP models), but the LES models also showed a non-uniform picture. The representation of microphysics has been identified as the primary source of uncertainty in the simulation of fog, but with surface-layer fluxes also contributing to the uncertainty. The final study in this thesis discusses the influence of nocturnal fog on the evolution of the daytime boundary layer. The simulation results indicate that failing to resolve nocturnal fog leads to a faster boundary layer development, i.e., a higher temperature within the boundary layer and a higher inversion height during daytime.

U2 - 10.15488/14792

DO - 10.15488/14792

M3 - Doctoral thesis

CY - Hannover

ER -