July 1, 2022
Project Location: 
Nova Scotia
Project Description: 

Fog consists of suspended water droplets or ice crystals in the lower atmosphere formed by favorable collusion of dynamic, microphysical, physicochemical, thermodynamic and surface processes, and is identified by conditions with near-ground visibility less than 1 km. It negatively affects societal functions such as transportation, communications and ecosystem wellbeing. Characterization of the fog environment is also imperative for directed high energy laser, free-space optics and remote detection applications. The predictability of fog and its electro-optic propagation characteristics, however, is amongst the poorest in meteorology.

This project (Fatima) seeks leaps of fundamental knowledge and prediction and detection capabilities pertinent to fog in marine environments, in particular, Marine Sea Fog (MSF) that forms over shallow seas and shelves as well as on coastal Ice Fog (IF).

The approach includes theoretical analysis, detailed process studies, novel high-resolution numerical simulations, extensive field measurements and predictive modeling in collaboration with practitioners.

The project is multidisciplinary, and draws expertise from a group of researchers covering the scale continuum from large regional weather systems (synoptic) to fog droplets of micrometer scales that grow on aerosols of nanoscales (microphysical).

The team has experience in field measurements and analyses, theoretical and numerical modeling, satellite remote sensing and forecasting with numerical weather prediction (NWP) models.

The objectives are to understand and quantify the intricate interplay between processes underlying the lifecycles of MSF and IF, and represent them in forecasting models via:

  1. Deploying leading-edge instrumentation, including novel measurement technologies, to probe from synoptic to fog-spawning smallest scale of turbulent motions (Kolmogorov K scales);
  2. Theoretical/numerical analyses that push frontiers of two-phase turbulence, especially non-linear dynamics of turbulence-droplets interactions;
  3. Delving into droplet microphysics, thermodynamics, ocean-surface processes and large-scale forcing;
  4. Developing microphysical parameterizations for NWP models to help improve the prediction of visibility (Vis); and
  5. Understanding and modeling the impacts of fog and turbulence on electro-optical (EO) propagation.