Coastal-Fog Microphysics Using In-Situ Observations and GOES-R Retrievals

• Published in: Boundary-Layer Meteorology
• Main Authors: Gultepe, Ismail, Pardyjak, Eric, Hoch, Sebastian W., Fernando, H. J. S., Dorman, Clive, Flagg, D. D., Krishnamurthy, Raghavendra, Wang, Q., Gaberšek, S., Creegan, E., Scantland, N., Desjardins, S., Heidinger, A., Pavolonis, M., Heymsfield, A. J.
• Language: unknown
• Published: 2023
• Subjects: 54 ENVIRONMENTAL SCIENCES; Canada; Newfoundland
• Online Access: http://www.osti.gov/servlets/purl/1909896; https://www.osti.gov/biblio/1909896; https://doi.org/10.1007/s10546-021-00622-4

Here, the objective of this work is to evaluate GOES-R based fog conditions occurred during the C-FOG (Toward Improving Coastal Fog Prediction) field campaign. C-FOG is designed to advance understanding of fog formation, development, and dissipation over coastal environments to improve its predictability. The project took place along coastlines and open water environments of Eastern Canada (Nova Scotia, NS and the Island of Newfoundland, NL) during August-October of 2018 where environmental conditions play an important role for late season’s fog formation. During the C-FOG field campaign, instruments were located at the Ferryland Supersite, NL, with 2 main sites, and five satellite sites, as well as on the Research Vessel (R/V) Hugh R. Sharp. Key measurement instruments included a Gondola carrying a CDP (cloud droplet probe) and a BCP (backscatter cloud probe) was used for measuring droplet spectra from 1-75 µm on the R/V. A LPM (laser precipitation monitor) with 100 µm-1 cm size range and an OPC (optical particle counter) with 0.3-17 µm at 16 spectral channels provided information for fog and drizzle discrimination. Remote sensing platforms (e.g. profiling microwave radiometer, PMWR), Ceilometer, Lidar), meteorological towers, tethered balloons, and GOES-R products (e.g. fog coverage and droplet size and liquid water path) were used to evaluate fog over horizontal and vertical dimensions. Results suggest that effective radius, phase, liquid water path, and liquid water content values obtained from GOES-R and PMWR were comparable to ground based in-situ observations. It is concluded that integration of observations and nowcasting products may help improve short term local fog predictions.