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Stuart A. Mc Keen authored and/or contributed to the following articles/publications.
In this chapter we describe the Weather Research and Forecasting (WRF) model as it is coupled to online chemistry. This model now includes many atmospheric chemistry routines covering biogenic emissions, deposition, photolysis, chemical mechanisms. In addition, several atmospheric aerosol routines and a biomass burning model were added to WRF. T...
3DVAR chemical data assimilation in WRF/Chem forecasts during CalNEX
Air quality forecasts are typically initialized using chemical species concentrations obtained from the previous day's forecasts with no regard to the observations. This approach generally leads to better forecasts compared to those initialized with chemical species concentrations obtained from climatology. Data assimilation is an essential part...
Evaluation of WRF-Chemistry air quality forecasts produced during CalNex-2010
CalNex-2010 was a significant air quality field study conducted by National Oceanic and Atmospheric Administration (NOAA), the California Air Resources Board (ARB), and academic researchers. It occurred from May through June of 2010. Several aircraft and a research vessel (Atlantis) along with ground observation site collected spatial and tempor...
Forecasts from seven air quality models and surface ozone data collected over the eastern USA and southern Canada during July and August 2004 provide a unique opportunity to assess benefits of ensemble-based ozone forecasting and devise methods to improve ozone forecasts. In this investigation, past forecasts from the ensemble of models and hour...
The emergence of numerical air quality forecasting models and their application
Over the past decade there has evolved an increasing interest by the public in the U.S. and other nations in the day-to-day air quality conditions to which they are exposed. Driven by the increasing awareness of the health aspects of air pollution exposure, especially by subpopulations most sensitive such as children and the elderly, short-term ...
Online versus offline air quality modeling on cloud-resolving scales
Computational advances now allow air quality forecast models to fully couple the meteorology with chemical constituents within a unified modeling system – online – that allows two-way interactions. The more common approach is the offline system, which only allows one-way coupling from the meteorology – sampled at fixed time intervals – to the ch...