Abstract. The amount of solar radiation reaching the Earth's surface can be highly
determined by atmospheric aerosols, which have been pointed to as the most uncertain climate
forcing agents through their direct (scattering and absorption), semi-direct
(absorption implying a thermodynamic effect on clouds) and indirect (modification of cloud
properties when aerosols act as cloud condensation nuclei)
effects. Nonetheless, regional climate models hardly ever dynamically model
the atmospheric concentration of aerosols and their interactions with
radiation (ARIs) and clouds (ACIs). The objective of this work is to evince
the role of modeling ARIs and ACIs in Weather Research and Forecast (WRF)
model simulations with fully interactive aerosols (online resolved
concentrations) with a focus on summer mean surface downward solar radiation
(RSDS) over Europe. Under historical conditions (1991–2010), both ARIs and
ACIs reduce RSDS by a few percentage points over central and northern
regions. This reduction is larger when only ARIs are resolved, while ACIs
counteract the effect of the former by up to half. The response of RSDS to
the activation of ARIs and ACIs is mainly led by the aerosol effect on
cloud coverage, while the aerosol effect on atmospheric optical depth
plays a very minor role, which evinces the importance of semi-direct and
indirect aerosol effects. In fact, differences in RSDS among experiments
with and without aerosols are smaller under clear-sky conditions. In terms of
future projections (2031–2050 vs. 1991–2010), the baseline pattern (from an
experiment without aerosols) shows positive signals southward and negative
signals northward. While ARIs enhance the former and reduce the latter, ACIs
work in the opposite direction and provide a flatter RSDS change pattern,
further evincing the opposite impact from semi-direct and indirect effects
and the nontrivial influence of the latter.