Fully coupled “online” chemistry within the WRF model

By G. Grell, S. Peckham, R. Schmitz, S. Mckeen, G. Frost, William C. Skamarock, B. Eder. 2005

3,385 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/e7a75eb11f62ed650004b8776fc0266e8b764ddc

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Citations in the corpus

Machine learning in geosciences and remote sensing (2016, background): “Estimating the abundance of airborne particulate matter is a critical yet challenging task for both retrospective study and forecasting of air quality (Grell et al., 2005; Chuang et al., 2012), visibility and climate change (Hansen et al., 1988; Allen et al., 2000).”
The comprehensive model system COSMO-ART – Radiative impact of aerosol on the state of the atmosphere on the regional scale (2009, methodology): “One example of such a fully online coupled model system is the WRF/Chem model (Grell et al., 2005).”
A Kalman-filter bias correction method applied to deterministic, ensemble averaged and probabilistic forecasts of surface ozone (2008, methodology): “(4) The Weather Research and Forecast Model/Chemistry model (Grell et al., 2005) run with two different versions [version 1.3 (WRF/CHEM-1) and version 2.03 (WRF/CHEM-2)] by the NOAA Global Systems Division.”
Online coupled regional meteorology chemistry models in Europe: current status and prospects (2013, methodology): “org/ ) model coupled with Chemistry (WRFChem; Grell et al., 2005; Fast et al., 2006) provides the capability to simulate chemistry and aerosols from cloud scales to regional scales.”
Aerosol Mixing State: Measurements, Modeling, and Impacts (2019, methodology): “Many global and regional models have adopted this modeling framework (Bauer et al., 2008; Binkowski & Roselle, 2003; Grell et al., 2005; Liu et al., 2012; Stier et al., 2005; Vogel et al., 2009).”
The AFWA dust emission scheme for the GOCART aerosol model in WRF-Chem v3.8.1 (2019, methodology): “WRF-Chem is a mesoscale non-hydrostatic Earth system model able to simulate particulate transport and feedbacks simultaneously with the meteorological fields (Grell et al., 2005; Fast et al., 2006; Peckham et al., 2011).”
WRF-Solar: Description and Clear-Sky Assessment of an Augmented NWP Model for Solar Power Prediction (2016, methodology): “For example, the Weather Research and Forecasting (WRF; Skamarock et al. 2008) Model provides the WRF-Chem extension that accounts for atmospheric chemistry (Grell et al. 2005; Fast et al. 2006).”
Tropospheric chemistry in the integrated forecasting system of ECMWF (2014, background): “, 2007) 25 and WRF/Chem (Grell et al., 2005). Savage et al. (2013) evaluate the performance of air quality forecast with the UM at the regional scale.”
Impact of aerosol–meteorology interactions on fine particle pollution during China’s severe haze episode in January 2013 (2014, methodology): “1748-9326/14/094002+07$33.00 © 2014 IOP Publishing Ltd1 To assess ARI, several online-coupled meteorology and chemistry models have been developed and applied (e.g. Jacobson 1994, Jacobson et al 1996, Jacobson 1997a, 1997b, Grell et al 2005, Wong et al 2012).”