The above studies suggested that measurement issues related to ice fog still exist and this complicates the development and validation of the ice fog microphysical parameterizations and its prediction using numerical forecasting models as well as the retrievals of ice fog microphysical properties from remote sensing platforms.
During the two months of the Fog Remote Sensing and Modeling-Ice Fog (FRAM-IF) project, horizontal visibility limitations of 0 to 10 km due to ice fog occurred 14 times over the Yellowknife International Airport, Northwest Territories (NWT), Canada.
The Arctic environment is very sensitive to small changes of moisture and temperature, leading to ice fog and light snow conditions.
1) Improve the understanding of the physical processes leading to ice fog formation.
2) Improve the understanding of the relationship between ice fog, frost, and light snow.
4) Improve the understanding of the effects of ice fog and frost on aviation, transportation, and local weather.
5) Develop the skills for ice fog nowcasting using remote sensing, surface observations, and forecast models.
Figure la shows an ice fog event on 21 January 2011.
The cold high pressure systems with clear skies were one of the main reasons for ice fog and frost formation during the FRAM-IF project.