Abstract. Organic aerosol (OA) is one of the main components of the global particulate
burden and intimately links natural and anthropogenic emissions with air
quality and climate. It is challenging to accurately represent OA in global
models. Direct quantification of global OA abundance is not possible with
current remote sensing technology; however, it may be possible to exploit
correlations of OA with remotely observable quantities to infer OA
spatiotemporal distributions. In particular, formaldehyde (HCHO) and OA share
common sources via both primary emissions and secondary production from
oxidation of volatile organic compounds (VOCs). Here, we examine OA–HCHO
correlations using data from summertime airborne campaigns investigating
biogenic (NASA SEAC4RS and DC3), biomass burning (NASA SEAC4RS), and
anthropogenic conditions (NOAA CalNex and NASA KORUS-AQ). In situ OA
correlates well with HCHO (r=0.59–0.97), and the slope and intercept
of this relationship depend on the chemical regime. For biogenic and
anthropogenic regions, the OA–HCHO slopes are higher in low NOx
conditions, because HCHO yields are lower and aerosol yields are likely
higher. The OA–HCHO slope of wildfires is over 9 times higher than that for
biogenic and anthropogenic sources. The OA–HCHO slope is higher for highly
polluted anthropogenic sources (e.g., KORUS-AQ) than less polluted (e.g.,
CalNex) anthropogenic sources. Near-surface OAs over the continental US are
estimated by combining the observed in situ relationships with HCHO column
retrievals from NASA's Ozone Monitoring Instrument (OMI). HCHO vertical
profiles used in OA estimates are from climatology a priori profiles in the
OMI HCHO retrieval or output of specific period from a newer version of
GEOS-Chem. Our OA estimates compare well with US EPA IMPROVE data obtained
over summer months (e.g., slope =0.60–0.62, r=0.56 for August 2013),
with correlation performance comparable to intensively validated GEOS-Chem
(e.g., slope =0.57, r=0.56) with IMPROVE OA and superior to the
satellite-derived total aerosol extinction (r=0.41) with IMPROVE OA. This
indicates that OA estimates are not very sensitive to these HCHO vertical
profiles and that a priori profiles from OMI HCHO retrieval have a similar
performance to that of the newer model version in estimating OA. Improving
the detection limit of satellite HCHO and expanding in situ airborne HCHO and
OA coverage in future missions will improve the quality and spatiotemporal
coverage of our OA estimates, potentially enabling constraints on global OA
distribution.