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Model estimations of geophysical variability between satellite measurements of ozone profiles

Sheese, Patrick E. and Walker, Kaley A. and Boone, Chris D. and Degenstein, Doug A. and Kolonjari, Felicia and Plummer, David and Kinnison, Douglas E. and Jöckel, Patrick and von Clarmann, Thomas (2021) Model estimations of geophysical variability between satellite measurements of ozone profiles. Atmospheric Measurement Techniques (AMT), 14 (2), pp. 1425-1438. Copernicus Publications. doi: 10.5194/amt-14-1425-2021. ISSN 1867-1381.

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Official URL: https://amt.copernicus.org/articles/14/1425/2021/


In order to validate satellite measurements of atmospheric composition, it is necessary to understand the range of random and systematic uncertainties inherent in the measurements. On occasions where measurements from two different satellite instruments do not agree within those estimated uncertainties, a common explanation is that the difference can be assigned to geophysical variability, i.e., differences due to sampling the atmosphere at different times and locations. However, the expected geophysical variability is often left ambiguous and rarely quantified. This paper describes a case study where the geophysical variability of O3 between two satellite instruments – ACE-FTS (Atmospheric Chemistry Experiment – Fourier Transform Spectrometer) and OSIRIS (Optical Spectrograph and InfraRed Imaging System) – is estimated using simulations from climate models. This is done by sampling the models CMAM (Canadian Middle Atmosphere Model), EMAC (ECHAM/MESSy Atmospheric Chemistry), and WACCM (Whole Atmosphere Community Climate Model) throughout the upper troposphere and stratosphere at times and geolocations of coincident ACE-FTS and OSIRIS measurements. Ensemble mean values show that in the lower stratosphere, O3 geophysical variability tends to be independent of the chosen time coincidence criterion, up to within 12 h; and conversely, in the upper stratosphere geophysical variation tends to be independent of the chosen distance criterion, up to within 2000 km. It was also found that in the lower stratosphere, at altitudes where there is the greatest difference between air composition inside and outside the polar vortex, the geophysical variability in the southern polar region can be double of that in the northern polar region. This study shows that the ensemble mean estimates of geophysical variation can be used when comparing data from two satellite instruments to optimize the coincidence criteria, allowing for the use of more coincident profiles while providing an estimate of the geophysical variation within the comparison results.

Item URL in elib:https://elib.dlr.de/141107/
Document Type:Article
Title:Model estimations of geophysical variability between satellite measurements of ozone profiles
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Sheese, Patrick E.Department of Physics, University of Toronto, Toronto, CanadaUNSPECIFIED
Walker, Kaley A.Department of Physics, University of Toronto, Toronto, Canadahttps://orcid.org/0000-0003-3420-9454
Boone, Chris D.Department of Chemistry, University of Waterloo, Waterloo, CanadaUNSPECIFIED
Degenstein, Doug A.Department of Physics and Engineering Physics, University of Saskatchewan, ISAS, Saskatoon, CanadaUNSPECIFIED
Kolonjari, FeliciaEnvironment and Climate Change Canada, Victoria, CanadaUNSPECIFIED
Plummer, DavidClimate Research Branch, Montreal, Environment and Climate Change Canada, Canadahttps://orcid.org/0000-0001-8087-3976
Kinnison, Douglas E.Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, USAUNSPECIFIED
Jöckel, PatrickDLR, IPAhttps://orcid.org/0000-0002-8964-1394
von Clarmann, ThomasInstitute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, GermanyUNSPECIFIED
Date:24 February 2021
Journal or Publication Title:Atmospheric Measurement Techniques (AMT)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 1425-1438
Publisher:Copernicus Publications
Keywords:EMAC, MESSy, Modular Earth Submodel System, ESCiMo, CCMI, atmospheric chemistry, ozone, variability
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Project Climatic relevance of atmospheric tracer gases, aerosols and clouds, R - Atmospheric and climate research
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Earth System Modelling
Deposited By: Jöckel, Dr. Patrick
Deposited On:01 Mar 2021 12:25
Last Modified:01 Mar 2021 12:25

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