Abstract. Formaldehyde (HCHO), hydrogen peroxide (H2O2)
and organic hydroperoxides (ROOH) play a key role in atmospheric oxidation
processes. They act as sources and sinks for HOx radicals
(OH + HO2), with OH as the primary oxidant that governs the
atmospheric self-cleaning capacity. Measurements of these species allow
for evaluation of chemistry-transport models which need to account for
multifarious source distributions, transport, complex photochemical reaction
pathways and deposition processes of these species. HCHO is an intermediate
during the oxidation of volatile organic compounds (VOCs) and is an indicator of photochemical activity
and combustion-related emissions. In this study, we use in situ observations
of HCHO, H2O2 and ROOH in the marine boundary layer (MBL) to
evaluate results of the general circulation model EMAC (ECHAM5/MESSy2
Atmospheric Chemistry; European Center HAMburg, Modular Earth Submodel System). The dataset was obtained during the Air Quality and Climate Change in the Arabian Basin (AQABA) ship
campaign around the Arabian Peninsula in summer 2017. This region is
characterized by high levels of photochemical air pollution, humidity and
solar irradiation, especially in the areas around the Suez Canal and the
Arabian Gulf. High levels of air pollution with up to 12 ppbv HCHO, 2.3 ppbv
ROOH and relatively low levels of H2O2 (≤0.5 ppbv) were
detected over the Arabian Gulf. We find that EMAC failed to predict absolute
mixing ratios of HCHO and ROOH during high-pollution events over the Arabian
Gulf, while it reproduced HCHO on average within a factor of 2. Dry
deposition velocities were determined for HCHO and H2O2 at
night with 0.77±0.29 cm s−1 for HCHO and 1.03±0.52 cm s−1 for H2O2 over the Arabian Sea, which were
matched by EMAC. The photochemical budget of H2O2 revealed
elevated HOx radical concentrations in EMAC, which resulted in an
overestimation of H2O2 by more than a factor of 5 for the AQABA
dataset. The underestimated air pollution over the Arabian Gulf was related
to EMAC's coarse spatial resolution and missing anthropogenic emissions in
the model.