Technical note: Constraining the hydroxyl (OH) radical in the tropics with satellite observations of its drivers – first steps toward assessing the feasibility of a global observation strategy
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Published:2023-06-09
Issue:11
Volume:23
Page:6319-6338
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Anderson Daniel C.ORCID, Duncan Bryan N., Nicely Julie M.ORCID, Liu Junhua, Strode Sarah A.ORCID, Follette-Cook Melanie B.
Abstract
Abstract. Despite its importance in controlling the abundance of methane (CH4)
and a myriad of other tropospheric species, the hydroxyl radical (OH) is
poorly constrained due to its large spatial heterogeneity and the inability
to measure tropospheric OH with satellites. Here, we present a methodology
to infer tropospheric column OH (TCOH) in the tropics over the open oceans
using a combination of a machine learning model, output from a simulation of
the GEOS model, and satellite observations. Our overall goals are to assess
the feasibility of our methodology, to identify potential limitations, and
to suggest areas of improvement in the current observational network. The
methodology reproduces the variability of TCOH from independent 3D model
output and of observations from the Atmospheric Tomography mission (ATom).
While the methodology also reproduces the magnitude of the 3D model
validation set, the accuracy of the magnitude when applied to observations
is uncertain because current observations are insufficient to fully evaluate
the machine learning model. Despite large uncertainties in some of the
satellite retrievals necessary to infer OH, particularly for NO2 and
formaldehyde (HCHO), current satellite observations are of sufficient quality to apply the
machine learning methodology, resulting in an error comparable to that of
in situ OH observations. Finally, the methodology is not limited to a specific
suite of satellite retrievals. Comparison of TCOH determined from two sets
of retrievals does show, however, that systematic biases in NO2,
resulting both from retrieval algorithm and instrumental differences, lead
to relative biases in the calculated TCOH. Further evaluation of NO2
retrievals in the remote atmosphere is needed to determine their accuracy.
With slight modifications, a similar methodology could likely be expanded to the extratropics and over land, with the benefits of increasing our
understanding of the atmospheric oxidation capacity and, for instance,
informing understanding of recent CH4 trends.
Funder
National Aeronautics and Space Administration
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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