Abstract. Measurements from actinic flux spectroradiometers on board the
NASA DC-8 during the Atmospheric Tomography (ATom) mission provide an
extensive set of statistics on how clouds alter photolysis rates (J values)
throughout the remote Pacific and Atlantic Ocean basins. J values control
tropospheric ozone and methane abundances, and thus clouds have been included
for more than three decades in tropospheric chemistry modeling. ATom made
four profiling circumnavigations of the troposphere capturing each of the
seasons during 2016–2018. This work examines J values from the Pacific
Ocean flights of the first deployment, but publishes the complete Atom-1 data
set (29 July to 23 August 2016). We compare the observed J values (every 3 s along flight track) with those calculated by nine global
chemistry–climate/transport models (globally gridded, hourly, for a
mid-August day). To compare these disparate data sets, we build a
commensurate statistical picture of the impact of clouds on J values using
the ratio of J-cloudy (standard, sometimes cloudy conditions) to J-clear
(artificially cleared of clouds). The range of modeled cloud effects is
inconsistently large but they fall into two distinct classes: (1) models with
large cloud effects showing mostly enhanced J values aloft and or
diminished at the surface and (2) models with small effects having nearly
clear-sky J values much of the time. The ATom-1 measurements generally
favor large cloud effects but are not precise or robust enough to point out
the best cloud-modeling approach. The models here have resolutions of 50–200 km
and thus reduce the occurrence of clear sky when averaging over grid
cells. In situ measurements also average scattered sunlight over a mixed
cloud field, but only out to scales of tens of kilometers. A primary uncertainty
remains in the role of clouds in chemistry, in particular, how models average
over cloud fields, and how such averages can simulate measurements.
NERC ACSIS LTSM projec