A case study evaluation of fog simulation using two land-surface
Citation:
Eder, B. A case study evaluation of fog simulation using two land-surface. WRF-MPAS conference, Boulder, CO, June 11 - 15, 2018.
Impact/Purpose:
The National Exposure Research Laboratory (NERL) Computational Exposure Division (CED) develops and evaluates data, decision-support tools, and models to be applied to media-specific or receptor-specific problem areas. CED uses modeling-based approaches to characterize exposures, evaluate fate and transport, and support environmental diagnostics/forensics with input from multiple data sources. It also develops media- and receptor-specific models, process models, and decision support tools for use both within and outside of EPA.
Description:
Despite its importance to transportation safety and ecosystem health related to pollutant and nutrient deposition, the simulation of fog lags the simulation of other meteorological phenomena due in large part to its complexity and limitations of model resolution. Accordingly, this evaluation provides a case study of fog simulation in the Nooksack Valley Region centered in Washington state during an extensive fog episode in January of 2014. Simulations of WRFV3.9 (4km) were conducted using various land-surface models (e.g. Noah, PX) and micro-physics schemes (e.g. Morrison, Thompson). Values of liquid water content, along with other surface layer parameters simulated by the various runs were then compared to a suite of meteorological measurements obtained at fourteen NWS sites along with satellite images. Both discrete and categorical statistics will be provided for each simulation to determine model efficacy.
