Improving regional model representation of cloudy boundary layers across midlatitude synoptic systems in NRL COAMPS

Abstract

Funds are provided to conduct research to improve forecasting of cloud properties in the planetary boundary layer (PBL). Current challenges include accounting for subgrid-scale variability of cloud processes, how best to account for sensitivity of microphysical processes to aerosol properties, and understanding the relationship of boundary-layer clouds to synoptic wave structures. All of these issues have substantial implications for making accurate forecasts of regional low-cloud cover. The PI will improve parameterization to better represent subgrid-scale cloud variability and aerosolcloudprecipitation interactions, coupled with an innovative way of evaluating improvements to model cloud parameterizations across different synoptic regimes. The effort has three objectives: 1. Implementing into COAMPS a statistical PDF (probability distribution function) for cloud microphysical processes. 2. Improving dependence of cloud condensation nuclei (CCN) on cloud behavior in COAMPS. 3. Incorporating a cloud droplet sedimentation parameterization in COAMPS.

Document Details

Document Type
DoD Grant Award
Publication Date
May 08, 2020
Source ID
N000142012519

Entities

People

  • David B. Mechem

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Kansas

Tags

Fields of Study

  • Environmental science

Readers

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