Abstract. Anthropogenic aerosols have increased significantly since the
industrial revolution, driven largely by growth in emissions from energy use
in sectors including power generation, industry, and transport. Advances in
emission control technologies since around 1970, however, have partially
counteracted emissions increases from the above sectors. Using the
fully coupled Community Earth System Model, we quantify the effective
radiative forcing (ERF) and climate response to 1970–2010 aerosol changes
associated with the above two policy-relevant emission drivers. Emissions
from energy-use growth generate a global mean aerosol ERF (mean ± 1
standard deviation) of -0.31±0.22 W m−2 and result in a global mean
cooling (-0.35±0.17 K) and a precipitation reduction (-0.03±0.02 mm d−1). By contrast, the avoided emissions from advances in
emission control technology, which benefit air quality, generate a global
mean ERF of +0.21±0.23 W m−2, a global warming of
+0.10±0.13 K, and global mean precipitation increase of
+0.01±0.02 mm d−1. Despite the relatively small
changes in global mean precipitation, these two emission drivers have
profound impacts at regional scales, in particular over Asia and Europe. The
total net aerosol impacts on climate are dominated by energy-use growth,
from Asia in particular. However, technology advances outweigh energy-use
growth over Europe and North America. Various non-linear processes are
involved along the pathway from aerosol and their precursor emissions to radiative
forcing and ultimately to climate responses, suggesting that the diagnosed
aerosol forcing and effects must be interpreted in the context of experiment
designs. Further, the temperature response per unit aerosol ERF varies
significantly across many factors, including location and magnitude of
emission changes, implying that ERF, and the related metrics, needs to be
used very carefully for aerosols. Future aerosol-related emission pathways
have large temporal and spatial uncertainties; our findings provide useful
information for both assessing and interpreting such uncertainties, and they may
help inform future climate change impact reduction strategies.