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Assessing Measurements of Pollution in the Troposphere (MOPITT) carbon monoxide retrievals over urban versus non-urban regions

The Measurements of Pollution in the Troposphere (MOPITT) retrievals over urban regions have not been validated systematically, even though MOPITT observations are widely used to study CO over urban regions. Here we compare MOPITT products over urban and non-urban regions with aircraft measurements...

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Published in:Atmospheric measurement techniques 2020-03, Vol.13 (3), p.1337-1356
Main Authors: Tang, Wenfu, Worden, Helen M, Deeter, Merritt N, Edwards, David P, Emmons, Louisa K, Martínez-Alonso, Sara, Gaubert, Benjamin, Buchholz, Rebecca R, Diskin, Glenn S, Dickerson, Russell R, Ren, Xinrong, He, Hao, Kondo, Yutaka
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creator Tang, Wenfu
Worden, Helen M
Deeter, Merritt N
Edwards, David P
Emmons, Louisa K
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Diskin, Glenn S
Dickerson, Russell R
Ren, Xinrong
He, Hao
Kondo, Yutaka
description The Measurements of Pollution in the Troposphere (MOPITT) retrievals over urban regions have not been validated systematically, even though MOPITT observations are widely used to study CO over urban regions. Here we compare MOPITT products over urban and non-urban regions with aircraft measurements from the Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ – 2011–2014), Studies of Emissions and Atmospheric Composition, Clouds, and Climate Coupling by Regional Surveys (SEAC4RS – 2013), Air Chemistry Research In Asia (ARIAs – 2016), A-FORCE (2009, 2013), and Korea United States Air Quality (KORUS-AQ – 2016) campaigns. In general, MOPITT agrees reasonably well with the in situ profiles, over both urban and non-urban regions. Version 8 multispectral product (V8J) biases vary from −0.7 % to 0.0 % and version 8 thermal-infrared product (TIR) biases vary from 2.0 % to 3.5 %. The evaluation statistics of MOPITT V8J and V8T over non-urban regions are better than those over urban regions with smaller biases and higher correlation coefficients. We find that the agreement of MOPITT V8J and V8T with aircraft measurements at high CO concentrations is not as good as that at low CO concentrations, although CO variability may tend to exaggerate retrieval biases in heavily polluted scenes. We test the sensitivities of the agreements between MOPITT and in situ profiles to assumptions and data filters applied during the comparisons of MOPITT retrievals and in situ profiles. The results at the surface layer are insensitive to the model-based profile extension (required due to aircraft altitude limitations), whereas the results at levels with limited aircraft observations (e.g., the 600 hPa layer) are more sensitive to the model-based profile extension. The results are insensitive to the maximum allowed time difference criterion for co-location (12, 6, 3, and 1 h) and are generally insensitive to the radius for co-location, except for the case where the radius is small (25 km), and hence few MOPITT retrievals are included in the comparison. Daytime MOPITT products have smaller overall biases than nighttime MOPITT products when comparing both MOPITT daytime and nighttime retrievals to the daytime aircraft observations. However, it would be premature to draw conclusions on the performance of MOPITT nighttime retrievals without nighttime aircraft observations. Applying signal-to-noise ratio (SNR) filter
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Here we compare MOPITT products over urban and non-urban regions with aircraft measurements from the Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ – 2011–2014), Studies of Emissions and Atmospheric Composition, Clouds, and Climate Coupling by Regional Surveys (SEAC4RS – 2013), Air Chemistry Research In Asia (ARIAs – 2016), A-FORCE (2009, 2013), and Korea United States Air Quality (KORUS-AQ – 2016) campaigns. In general, MOPITT agrees reasonably well with the in situ profiles, over both urban and non-urban regions. Version 8 multispectral product (V8J) biases vary from −0.7 % to 0.0 % and version 8 thermal-infrared product (TIR) biases vary from 2.0 % to 3.5 %. The evaluation statistics of MOPITT V8J and V8T over non-urban regions are better than those over urban regions with smaller biases and higher correlation coefficients. We find that the agreement of MOPITT V8J and V8T with aircraft measurements at high CO concentrations is not as good as that at low CO concentrations, although CO variability may tend to exaggerate retrieval biases in heavily polluted scenes. We test the sensitivities of the agreements between MOPITT and in situ profiles to assumptions and data filters applied during the comparisons of MOPITT retrievals and in situ profiles. The results at the surface layer are insensitive to the model-based profile extension (required due to aircraft altitude limitations), whereas the results at levels with limited aircraft observations (e.g., the 600 hPa layer) are more sensitive to the model-based profile extension. The results are insensitive to the maximum allowed time difference criterion for co-location (12, 6, 3, and 1 h) and are generally insensitive to the radius for co-location, except for the case where the radius is small (25 km), and hence few MOPITT retrievals are included in the comparison. Daytime MOPITT products have smaller overall biases than nighttime MOPITT products when comparing both MOPITT daytime and nighttime retrievals to the daytime aircraft observations. However, it would be premature to draw conclusions on the performance of MOPITT nighttime retrievals without nighttime aircraft observations. Applying signal-to-noise ratio (SNR) filters does not necessarily improve the overall agreement between MOPITT retrievals and in situ profiles, likely due to the reduced number of MOPITT retrievals for comparison. Comparisons of MOPITT retrievals and in situ profiles over complex urban or polluted regimes are inherently challenging due to spatial and temporal variabilities of CO within MOPITT retrieval pixels (i.e., footprints). We demonstrate that some of the errors are due to CO representativeness with these sensitivity tests, but further quantification of representativeness errors due to CO variability within the MOPITT footprint will require future work.</description><identifier>ISSN: 1867-8548</identifier><identifier>ISSN: 1867-1381</identifier><identifier>EISSN: 1867-8548</identifier><identifier>DOI: 10.5194/amt-13-1337-2020</identifier><language>eng</language><publisher>Katlenburg-Lindau: Copernicus GmbH</publisher><subject>Agreements ; Air ; Air pollution ; Air quality ; Airborne observation ; Aircraft ; Aircraft noise ; Aircraft observations ; Algorithms ; Atmospheric chemistry ; Atmospheric composition ; Bias ; Carbon monoxide ; Chemical research ; Clouds (Meteorology) ; Coefficients ; Correlation coefficient ; Correlation coefficients ; Daytime ; Environmental aspects ; Errors ; Filters ; Footprints ; Measurement ; Military aircraft ; Night ; Night-time ; Nighttime ; Pollution ; Prejudice ; Profiles ; Regional climates ; Regions ; Retrieval ; Sensitivity ; Sensitivity analysis ; Signal to noise ratio ; Statistical methods ; Surface boundary layer ; Surface layers ; Surveys ; Time ; Troposphere ; Urban areas ; Variability</subject><ispartof>Atmospheric measurement techniques, 2020-03, Vol.13 (3), p.1337-1356</ispartof><rights>COPYRIGHT 2020 Copernicus GmbH</rights><rights>2020. 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We find that the agreement of MOPITT V8J and V8T with aircraft measurements at high CO concentrations is not as good as that at low CO concentrations, although CO variability may tend to exaggerate retrieval biases in heavily polluted scenes. We test the sensitivities of the agreements between MOPITT and in situ profiles to assumptions and data filters applied during the comparisons of MOPITT retrievals and in situ profiles. The results at the surface layer are insensitive to the model-based profile extension (required due to aircraft altitude limitations), whereas the results at levels with limited aircraft observations (e.g., the 600 hPa layer) are more sensitive to the model-based profile extension. The results are insensitive to the maximum allowed time difference criterion for co-location (12, 6, 3, and 1 h) and are generally insensitive to the radius for co-location, except for the case where the radius is small (25 km), and hence few MOPITT retrievals are included in the comparison. Daytime MOPITT products have smaller overall biases than nighttime MOPITT products when comparing both MOPITT daytime and nighttime retrievals to the daytime aircraft observations. However, it would be premature to draw conclusions on the performance of MOPITT nighttime retrievals without nighttime aircraft observations. Applying signal-to-noise ratio (SNR) filters does not necessarily improve the overall agreement between MOPITT retrievals and in situ profiles, likely due to the reduced number of MOPITT retrievals for comparison. Comparisons of MOPITT retrievals and in situ profiles over complex urban or polluted regimes are inherently challenging due to spatial and temporal variabilities of CO within MOPITT retrieval pixels (i.e., footprints). We demonstrate that some of the errors are due to CO representativeness with these sensitivity tests, but further quantification of representativeness errors due to CO variability within the MOPITT footprint will require future work.</description><subject>Agreements</subject><subject>Air</subject><subject>Air pollution</subject><subject>Air quality</subject><subject>Airborne observation</subject><subject>Aircraft</subject><subject>Aircraft noise</subject><subject>Aircraft observations</subject><subject>Algorithms</subject><subject>Atmospheric chemistry</subject><subject>Atmospheric composition</subject><subject>Bias</subject><subject>Carbon monoxide</subject><subject>Chemical research</subject><subject>Clouds (Meteorology)</subject><subject>Coefficients</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Daytime</subject><subject>Environmental aspects</subject><subject>Errors</subject><subject>Filters</subject><subject>Footprints</subject><subject>Measurement</subject><subject>Military aircraft</subject><subject>Night</subject><subject>Night-time</subject><subject>Nighttime</subject><subject>Pollution</subject><subject>Prejudice</subject><subject>Profiles</subject><subject>Regional climates</subject><subject>Regions</subject><subject>Retrieval</subject><subject>Sensitivity</subject><subject>Sensitivity analysis</subject><subject>Signal to noise ratio</subject><subject>Statistical methods</subject><subject>Surface boundary layer</subject><subject>Surface layers</subject><subject>Surveys</subject><subject>Time</subject><subject>Troposphere</subject><subject>Urban areas</subject><subject>Variability</subject><issn>1867-8548</issn><issn>1867-1381</issn><issn>1867-8548</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptks1rFDEYh4eiYK29ewx4sYep-Z7Z41L8WGhp0fUcksybaZadZE0ypV782826xbogCeTlx5OHBH5N85bgS0EW_IOeSktY3axrKab4pDklvezaXvD-xT_zq-Z1zhuMJScdPW1-LXOGnH0Y0Q3oPCeYIJSMokN3cbudi48B-YDKPaB1iruYd_eQAL2_ub1brdcXyOpkKjLFEB_9AChBSR4e9LY6HiChORkdUJ3ynFGIoT0ECcZqzm-al66icP50njXfP31cX31pr28_r66W163lPS4t5Vwa4FgQXANBbTfgjluzENQ5PAjSWSsHJ6BnfBDUdNpSp7EhlHVUOMnOmtXBO0S9UbvkJ51-qqi9-hPENCqdirdbUIwzyp1c9CAkB8u0FEaLGhI3GGFwdb07uHYp_pghF7WJcwr1-Ypywgnp8EI-U6OuUh9cLEnbyWerlpL0jGFK967L_1B1DTB5GwM4X_OjCxdHFypT4LGMes5Zrb59PWbxgbUp5pzA_f04wWpfGlVLowhT-9KofWnYb0H8s4g</recordid><startdate>20200323</startdate><enddate>20200323</enddate><creator>Tang, Wenfu</creator><creator>Worden, Helen M</creator><creator>Deeter, Merritt N</creator><creator>Edwards, David P</creator><creator>Emmons, Louisa K</creator><creator>Martínez-Alonso, Sara</creator><creator>Gaubert, Benjamin</creator><creator>Buchholz, Rebecca R</creator><creator>Diskin, Glenn S</creator><creator>Dickerson, Russell R</creator><creator>Ren, Xinrong</creator><creator>He, Hao</creator><creator>Kondo, Yutaka</creator><general>Copernicus GmbH</general><general>Copernicus Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>7QH</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2325-6212</orcidid><orcidid>https://orcid.org/0000-0002-6823-9603</orcidid><orcidid>https://orcid.org/0000-0001-5185-8670</orcidid><orcidid>https://orcid.org/0000-0002-5949-9307</orcidid><orcidid>https://orcid.org/0000-0001-8124-2455</orcidid><orcidid>https://orcid.org/0000-0002-0107-4496</orcidid><orcidid>https://orcid.org/0000-0001-9974-1666</orcidid><orcidid>https://orcid.org/0000-0002-6595-0686</orcidid><orcidid>https://orcid.org/0000-0003-0206-3083</orcidid><orcidid>https://orcid.org/0000-0002-5164-3861</orcidid><orcidid>https://orcid.org/0000-0002-3617-0269</orcidid></search><sort><creationdate>20200323</creationdate><title>Assessing Measurements of Pollution in the Troposphere (MOPITT) carbon monoxide retrievals over urban versus non-urban regions</title><author>Tang, Wenfu ; 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Here we compare MOPITT products over urban and non-urban regions with aircraft measurements from the Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ – 2011–2014), Studies of Emissions and Atmospheric Composition, Clouds, and Climate Coupling by Regional Surveys (SEAC4RS – 2013), Air Chemistry Research In Asia (ARIAs – 2016), A-FORCE (2009, 2013), and Korea United States Air Quality (KORUS-AQ – 2016) campaigns. In general, MOPITT agrees reasonably well with the in situ profiles, over both urban and non-urban regions. Version 8 multispectral product (V8J) biases vary from −0.7 % to 0.0 % and version 8 thermal-infrared product (TIR) biases vary from 2.0 % to 3.5 %. The evaluation statistics of MOPITT V8J and V8T over non-urban regions are better than those over urban regions with smaller biases and higher correlation coefficients. We find that the agreement of MOPITT V8J and V8T with aircraft measurements at high CO concentrations is not as good as that at low CO concentrations, although CO variability may tend to exaggerate retrieval biases in heavily polluted scenes. We test the sensitivities of the agreements between MOPITT and in situ profiles to assumptions and data filters applied during the comparisons of MOPITT retrievals and in situ profiles. The results at the surface layer are insensitive to the model-based profile extension (required due to aircraft altitude limitations), whereas the results at levels with limited aircraft observations (e.g., the 600 hPa layer) are more sensitive to the model-based profile extension. The results are insensitive to the maximum allowed time difference criterion for co-location (12, 6, 3, and 1 h) and are generally insensitive to the radius for co-location, except for the case where the radius is small (25 km), and hence few MOPITT retrievals are included in the comparison. Daytime MOPITT products have smaller overall biases than nighttime MOPITT products when comparing both MOPITT daytime and nighttime retrievals to the daytime aircraft observations. However, it would be premature to draw conclusions on the performance of MOPITT nighttime retrievals without nighttime aircraft observations. Applying signal-to-noise ratio (SNR) filters does not necessarily improve the overall agreement between MOPITT retrievals and in situ profiles, likely due to the reduced number of MOPITT retrievals for comparison. Comparisons of MOPITT retrievals and in situ profiles over complex urban or polluted regimes are inherently challenging due to spatial and temporal variabilities of CO within MOPITT retrieval pixels (i.e., footprints). We demonstrate that some of the errors are due to CO representativeness with these sensitivity tests, but further quantification of representativeness errors due to CO variability within the MOPITT footprint will require future work.</abstract><cop>Katlenburg-Lindau</cop><pub>Copernicus GmbH</pub><doi>10.5194/amt-13-1337-2020</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0003-2325-6212</orcidid><orcidid>https://orcid.org/0000-0002-6823-9603</orcidid><orcidid>https://orcid.org/0000-0001-5185-8670</orcidid><orcidid>https://orcid.org/0000-0002-5949-9307</orcidid><orcidid>https://orcid.org/0000-0001-8124-2455</orcidid><orcidid>https://orcid.org/0000-0002-0107-4496</orcidid><orcidid>https://orcid.org/0000-0001-9974-1666</orcidid><orcidid>https://orcid.org/0000-0002-6595-0686</orcidid><orcidid>https://orcid.org/0000-0003-0206-3083</orcidid><orcidid>https://orcid.org/0000-0002-5164-3861</orcidid><orcidid>https://orcid.org/0000-0002-3617-0269</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1867-8548
ispartof Atmospheric measurement techniques, 2020-03, Vol.13 (3), p.1337-1356
issn 1867-8548
1867-1381
1867-8548
language eng
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source Publicly Available Content Database; DOAJ Directory of Open Access Journals
subjects Agreements
Air
Air pollution
Air quality
Airborne observation
Aircraft
Aircraft noise
Aircraft observations
Algorithms
Atmospheric chemistry
Atmospheric composition
Bias
Carbon monoxide
Chemical research
Clouds (Meteorology)
Coefficients
Correlation coefficient
Correlation coefficients
Daytime
Environmental aspects
Errors
Filters
Footprints
Measurement
Military aircraft
Night
Night-time
Nighttime
Pollution
Prejudice
Profiles
Regional climates
Regions
Retrieval
Sensitivity
Sensitivity analysis
Signal to noise ratio
Statistical methods
Surface boundary layer
Surface layers
Surveys
Time
Troposphere
Urban areas
Variability
title Assessing Measurements of Pollution in the Troposphere (MOPITT) carbon monoxide retrievals over urban versus non-urban regions
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