A nonlinear least squares four-dimensional variational data assimilation system for PM2.5 forecasts (NASM): Description and preliminary evaluation
Sign Up to like & getrecommendations! Published in 2021 at "Atmospheric Pollution Research"
DOI: 10.1016/j.apr.2021.03.003
Abstract: Abstract Air quality is a vital concern globally, especially in China. To improve fine particulate matter (PM2.5) forecasts, a nonlinear least squares four-dimensional variational (NLS-4DVar) data assimilation system was established and applied into the Weather… read more here.
Keywords: nonlinear least; system; assimilation; pm2 forecasts ... See more keywords
Evaluation of real-time PM2.5 forecasts with the WRF-CMAQ modeling system and weather-pattern-dependent bias-adjusted PM2.5 forecasts in Taiwan
Sign Up to like & getrecommendations! Published in 2021 at "Atmospheric Environment"
DOI: 10.1016/j.atmosenv.2020.117909
Abstract: Abstract A real-time air quality forecasting (AQF) system was developed in Taiwan using the Weather Research and Forecasting meteorological model and Community Multiscale Air Quality model framework. This study evaluated the performance of the one-year… read more here.
Keywords: real time; pm2 forecasts; aqf pm2; weather ... See more keywords
Improving PM2.5 Forecasts in China Using an Initial Error Transport Model.
Sign Up to like & getrecommendations! Published in 2020 at "Environmental science & technology"
DOI: 10.1021/acs.est.0c01680
Abstract: The efforts of using data assimilation to improve PM2.5 forecasts have been hindered by the limited number of species and incomplete vertical coverage in the observations. The common practice of initializing a chemical transport model… read more here.
Keywords: pm2 forecasts; transport; transport model; error transport ... See more keywords