The role of aerosol-radiation interaction in the meteorology prediction at the weather scale

The current capabilities of the numerical weather prediction (NWP) model
to simulate aerosol-radiation interaction (ARI) impacts on weather
prediction are still rarely considered compared with climate models. Here,
the NWP model GRAPES_CUACE is used to evaluate the role of the ARI in
meteorology prediction at the weather scale in China. The results show
that the online calculation of ARI in the model can extensively improve
the meteorology prediction accuracy involving temperature, wind, and
pressure at most vertical levels in relatively clean, light, and heavy
pollution stages. This improvement significantly occurs in the meteorology
factors below 950 hPa prediction such as temperature at 2 m, 1000, and 950
hPa, and mean sea level pressure, particularly in heavy pollution areas
and stages. Unlike temperature, the improvement of ARI in the predicted
wind at the height of the boundary layer is more significant than
near-surface. However, this improvement declines when the low-cloud
exists.