Satellite measurements of peroxyacetyl nitrate from the Cross-Track Infrared Sounder: comparison with ATom aircraft measurements
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Published:2022-06-10
Issue:11
Volume:15
Page:3497-3511
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ISSN:1867-8548
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Container-title:Atmospheric Measurement Techniques
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language:en
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Short-container-title:Atmos. Meas. Tech.
Author:
Payne Vivienne H., Kulawik Susan S., Fischer Emily V., Brewer Jared F., Huey L. GregoryORCID, Miyazaki KazuyukiORCID, Worden John R., Bowman Kevin W.ORCID, Hintsa Eric J.ORCID, Moore Fred, Elkins James W., Juncosa Calahorrano Julieta
Abstract
Abstract. We present an overview of an optimal estimation algorithm to retrieve peroxyacetyl nitrate (PAN) from single-field-of-view Level 1B radiances measured by the Cross-Track Infrared Sounder (CrIS). CrIS PAN retrievals show peak sensitivity in the mid-troposphere, with degrees of
freedom for signal less than or equal to 1.0. We show comparisons with two
sets of aircraft measurements from the Atmospheric Tomography Mission
(ATom), the PAN and Trace Hydrohalocarbon ExpeRiment (PANTHER) and the
Georgia Tech chemical ionization mass spectrometer (GT-CIMS). We find a
systematic difference between the two aircraft datasets, with vertically
averaged mid-tropospheric values from the GT-CIMS around 14 % lower than equivalent values from PANTHER. However, the two sets of aircraft
measurements are strongly correlated (R2 value of 0.92) and do provide
a consistent view of the large-scale variation of PAN. We demonstrate that
the retrievals of PAN from CrIS show skill in measurement of these
large-scale PAN distributions in the remote mid-troposphere compared to the
retrieval prior. The standard deviation of individual CrIS–aircraft
differences is 0.08 ppbv, which we take as an estimate of the uncertainty of the CrIS mid-tropospheric PAN for a single satellite field of view. The
standard deviation of the CrIS–aircraft comparisons for averaged CrIS
retrievals (median of 20 satellite coincidences with each aircraft profile) is lower at 0.05 ppbv. This would suggest that the retrieval error is reduced with averaging, although not with the square root of the number of observations. We find a negative bias of the order of 0.1 ppbv in the CrIS PAN results with respect to the aircraft measurements. This bias shows a dependence on column water vapor. We provide a water-vapor-dependent bias
correction for use with the CrIS PAN data.
Funder
Jet Propulsion Laboratory
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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