Microphysical Modeling and Detection of Marine Fog

Abstract

Funds are provided to investigate ways to improve forecasting of marine fog and to better remotely sense fog from spaceborne sensors. The proposed effort will address both modeling and observations of fog. On the modeling side, the focus will be on the cloud microphysics. The PI will conduct a large idealized simulations of marine fog using the RAMS model and construct statistical emulators of the model output to gain a thorough understanding of the sensitivity of fog simulations to microphysics scheme parameters and configurations. Conclusions from this analysis will be tested in specific case study simulations using Navys COAMPS model with the RAMS microphysics parameterization. For validation of marine fog simulations the proposed effort will leverage recent techniques for fog detection that have been developed using polar-orbiting satellite data and European geostationary satellite data. These techniques will be applied and modified where necessary to GOES and Himawari geostationary satellite data to detect the presence of marine fog over the Atlantic and Pacific.

Document Details

Document Type
DoD Grant Award
Publication Date
May 08, 2020
Source ID
N000142012304

Entities

People

  • Adele L. Igel

Organizations

  • Office of Naval Research
  • United States Navy
  • University of California, Davis

Tags

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • Space
  • Space - Space Objects