Abstract

The evolution of the droplet size distribution (DSD) during fog life cycle remains poorly understood and progress is required to reduce the uncertainty of fog forecasts. To gain insights into the physical processes driving the microphysical properties, intensive field campaigns were conducted during the winters of 2010–2013 at the Instrumented Site for Atmospheric Remote Sensing Research (SIRTA) in a semi-urban environment southwest of Paris city center to monitor the simultaneous variations in droplet microphysical properties and their potential interactions at the different evolutionary stages of the fog events. Liquid water content (LWC), fog droplet number concentration (Nd) and effective diameter (Def f) show large variations among the 42 fog events observed during the campaign and for individual events. Our results indicate that the variability of these parameters results from the interaction between microphysical, dynamical and radiative processes. During the formation and development phases, activation of aerosols into fog droplets and condensational growth were the dominant processes. When vertical development of radiation fogs occurred under the influence of increasing wind speed and subsequent turbulent motion, additional condensational growth of fog droplets was observed. DSDs with one mode (around 11 μm) and two modes (around 11 and 22 μm) were observed during the field campaign. During the development phase of fogs with two droplet size modes, a mass transfer occurred from the smaller droplets into the larger ones through collision-coalescence or Ostwald ripening processes. During the mature phase, evaporation due to surface warming induced by infrared radiation emitted by fog was the dominant process. Additional droplet removal through sedimentation is observed during this phase for fog with two droplet size modes. Because of differences in the physical processes involved, the relationship between LWC and Nd is largely driven by the droplet size distribution. Although a positive relationship is found in most of the events due to continuous activation of aerosol into fog droplets, LWC vary at constant Nd in fog with large Def f (> 17 μm) due to additional collision-coalescence and Ostwald ripening processes. This work illustrates the need to accurately estimate the supersaturation for simulating the continuous activation of aerosols into droplets during the fog life cycle and to include advanced parameterizations of relevant microphysical processes such as collision-coalescence and Ostwald ripening processes, among others, in numerical models.

Highlights

  • Fog is defined by the National Oceanic and Atmospheric Administration as a suspension of very small droplets in the air, reducing the visibility to less than 1 km close to the surface

  • Because of differences in the physical processes involved, the relationship between Liquid water content (LWC) and Nd is largely driven by the droplet size distribution

  • The median values of Nd, LWC, and Deff vary over the ranges of 5-200 cm−3, 0.002–0.096 g.cm−3 and 8–22 μm, respectively, 5 which are in agreement with values reported for fog events in other regions (Eldridge, 1966; Pilié et al, 1975; Pinnick et al, 1978; Choularton et al, 1981; Kunkel, 1984; Gerber, 1991; Wendisch et al, 1998; Liu et al, 2011; Lu et al, 2013; Niu et al, 2010; Price, 2011; Zhao et al, 2013; Gultepe et al, 2019; Liu et al, 2020)

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Summary

Introduction

Fog is defined by the National Oceanic and Atmospheric Administration as a suspension of very small droplets in the air, reducing the visibility to less than 1 km close to the surface. These low visibilities are responsible for strong perturbation in aviation, 25 transport, and health. Fogs are complex meteorological systems dealing with various fine scale processes. The fog life cycle is driven by radiation, turbulent, thermodynamic and cloud microphysics (hereafter referred to as microphysics) processes, which interact with each other in complex manners that are not 5 yet fully understood. In spite of significant advances in the skills of numerical weather forecast models (NWP) and Large-Eddy Simulation (LES) in recent decades, the timing of formation and dissipation of fog is poorly forecasted (Bergot et al, 2005; Van der Velde et al, 2010; Boutle et al, 2016; Martinet et al, 2020)

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