{"id":12440,"date":"2024-11-12T12:03:56","date_gmt":"2024-11-12T16:03:56","guid":{"rendered":"https:\/\/zobi.alcowep.com\/bourtagshdrevxnls658739\/summary-of-the-second-omi-tropomi-science-team-meeting\/"},"modified":"2024-11-12T12:03:56","modified_gmt":"2024-11-12T16:03:56","slug":"summary-of-the-second-omi-tropomi-science-team-meeting","status":"publish","type":"post","link":"https:\/\/zobi.alcowep.com\/bourtagshdrevxnls658739\/summary-of-the-second-omi-tropomi-science-team-meeting\/","title":{"rendered":"Summary of the Second OMI\u2013TROPOMI Science Team Meeting"},"content":{"rendered":"<h2 style=\"text-align: center;\">Summary of the Second OMI\u2013TROPOMI Science Team Meeting<\/h2>\n<p><!-- no image --><\/p>\n<div class=\" hds-module hds-module-full wp-block-nasa-blocks-secondary-navigation\">\n<div class=\"hds-secondary-navigation-wrapper z-top width-100 padding-0\">\n<div class=\"hds-secondary-navigation width-full border-bottom-1px text-center hds-color-mode-dark hds-module 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rel=\"noopener\">Archives<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/nav>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"hds-media hds-module wp-block-image\">\n<div class=\"margin-left-auto margin-right-auto nasa-block-align-inline\">\n<div class=\"hds-media-wrapper margin-left-auto margin-right-auto\">\n<figure class=\"hds-media-inner hds-cover-wrapper hds-media-ratio-fit \"><a href=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-meeting-summary-banner.png\" rel=\"noopener\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1037\" height=\"81\" src=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-meeting-summary-banner.png?w=1037\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"\" block_context=\"nasa-block\" srcset=\"https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-meeting-summary-banner.png 1037w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-meeting-summary-banner.png?resize=300,23 300w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-meeting-summary-banner.png?resize=768,60 768w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-meeting-summary-banner.png?resize=1024,80 1024w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-meeting-summary-banner.png?resize=400,31 400w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-meeting-summary-banner.png?resize=600,47 600w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-meeting-summary-banner.png?resize=900,70 900w\" sizes=\"(max-width: 1037px) 100vw, 1037px\" loading=\"eager\"><\/a><\/figure>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"padding-top-5 padding-bottom-3 width-full maxw-full hds-module hds-module-full wp-block-nasa-blocks-article-intro\">\n<div class=\"width-full maxw-full article-header\">\n<div class=\"margin-bottom-2 width-full maxw-full\">\n<p class=\"label carbon-60 margin-0 margin-bottom-3 padding-0\">22 min read<\/p>\n<h1 class=\"display-48 margin-bottom-2\">Summary of the Second OMI\u2013TROPOMI Science Team Meeting<\/h1>\n<\/div>\n<\/div>\n<\/div>\n<p><strong>Introduction<\/strong><\/p>\n<p>The second joint <a href=\"https:\/\/aura.gsfc.nasa.gov\/omi.html\" rel=\"noopener\">Ozone Monitoring Instrument<\/a> (OMI)\u2013<a href=\"https:\/\/www.tropomi.eu\/\" rel=\"noopener\">TROPOspheric Monitoring Instrument<\/a> (TROPOMI) Science Team (ST) meeting was held June 3\u20136, 2024. The meeting used a hybrid format, with the in-person meeting hosted at the National Center for Atmospheric Research (NCAR) in Boulder, CO. This was the first OMI meeting to offer virtual participation since the COVID-19 travel restrictions. Combining the onsite and virtual attendees, the meeting drew 125 participants \u2013 see <strong>Photo<\/strong>.<\/p>\n<p>OMI flies on NASA\u2019s <a href=\"https:\/\/eospso.nasa.gov\/missions\/aura\" rel=\"noopener\">Earth Observing System (EOS) Aura<\/a> platform, launched July 15, 2004. TROPOMI flies on the European Space Agency\u2019s (ESA)\u2013<a href=\"https:\/\/www.copernicus.eu\/en\" rel=\"noopener\">Copernicus<\/a> <a href=\"https:\/\/www.esa.int\/Applications\/Observing_the_Earth\/Copernicus\/Sentinel-5P\" rel=\"noopener\">Sentinel-5 Precursor<\/a> platform. OMI has collected nearly 20 years of data and TROPOMI now has amassed 5 years of data.\u00a0<\/p>\n<p>Meeting content was organized around the following four objectives:<\/p>\n<ul>\n<li>discussion of the final reprocessing of OMI data (called <em>Collection 4<\/em>) and of data preservation;<\/li>\n<li>discussion of OMI data continuity and enhancements using TROPOMI measurements;<\/li>\n<li>development of unique TROPOMI products [e.g., methane (CH<sub>4<\/sub>)], applications (e.g., tracking emissions \u2013 and using them as indicators of socioeconomic and military activities), and new focus regions (e.g., Africa); and<\/li>\n<li>leverage synergies between atmospheric composition (AC) and greenhouse gas (GHG) missions, which form the international constellation of low Earth orbit (LEO) and geostationary orbit (GEO) satellites.<\/li>\n<\/ul>\n<p>The remainder of this article summarizes the highlights from each day of the meeting.<\/p>\n<div class=\"hds-media hds-module wp-block-image\">\n<div class=\"margin-left-auto margin-right-auto nasa-block-align-inline\">\n<div class=\"hds-media-wrapper margin-left-auto margin-right-auto\">\n<figure class=\"hds-media-inner hds-cover-wrapper hds-media-ratio-fit \"><a href=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/photo.jpg\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1440\" height=\"645\" src=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/photo.jpg?w=1440\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"OMIT-TROPOMI Science Team Meeting Group Photo\" block_context=\"nasa-block\" srcset=\"https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/photo.jpg 1440w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/photo.jpg?resize=300,134 300w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/photo.jpg?resize=768,344 768w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/photo.jpg?resize=1024,459 1024w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/photo.jpg?resize=400,179 400w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/photo.jpg?resize=600,269 600w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/photo.jpg?resize=900,403 900w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/photo.jpg?resize=1200,538 1200w\" sizes=\"auto, (max-width: 1440px) 100vw, 1440px\"><\/a><\/figure><figcaption class=\"hds-caption padding-y-2\">\n<div class=\"hds-caption-text p-sm margin-0\"><strong>Photo.<\/strong> Group photo of the in-person participants at the OMI\u2013TROPOMI Science Team meeting.<\/div>\n<div class=\"hds-credits\"><strong>Photo credit:<\/strong> Shaun Bush\/NCAR\u2019s Atmospheric Chemistry Observations &#038; Modeling<\/div>\n<\/figcaption><\/div>\n<\/div>\n<\/div>\n<p><strong>DAY ONE<\/strong><\/p>\n<p>The topics covered on the first day of the meeting included OMI instrument performance, calibration, final Collection 4 reprocessing, and plans for data preservation.<\/p>\n<p><strong>OMI and Data Products Update<\/strong><\/p>\n<p><strong>Pieternel Levelt<\/strong>\u00a0[Royal Netherlands Meteorological Institute (KNMI)\u2014<em>OMI Principal Investigator<\/em>\u00a0<em>(PI)<\/em>\u00a0and NCAR\u2019s Atmospheric Chemistry Observations &#038; Modeling (ACOM) Laboratory\u2014<em>Director<\/em>] began her presentation by dedicating the meeting to the memory of\u00a0<strong>Johan de Vries<\/strong>, whose untimely death came as a shock to the OMI and TROPOMI teams \u2013 see\u00a0<strong>In Memoriam: Johan de Vries<\/strong> for a celebration of his accomplishments and contributions to the OMI-TROPOMI team.\u00a0She then went on to give a status update on OMI, which is one of two currently operating instruments on EOS Aura [the other being the\u00a0<a href=\"https:\/\/mls.jpl.nasa.gov\/\" rel=\"noopener\">Microwave Limb Sounder<\/a>\u00a0(MLS)]. OMI is the longest operating and stable ultraviolet\u2013visible (UV-VIS) spectrometer. It continues to \u201cage gracefully\u201d thanks to its design, contamination control measures undertaken after the launch, and stable optical bench temperature. Lessons learned during integration of OMI on the Aura spacecraft (e.g., provide additional charged couple device shielding) and operations (i.e., monitor partial Earth-view port blockages) guided the development and operations of the follow-on TROPOMI mission.<\/p>\n<p>Continued monitoring of OMI performance is crucial for extending science- and trend-quality OMI records to the end of the Aura mission (currently expected in 2026). <strong>Antje Ludewig<\/strong> [KNMI] described the new OMI Level-1B (L1B) processor (Collection 4), which is based on TROPOMI data flow and optimized calibrations. The processor has been transferred to the U.S. OMI ST, led by <strong>Joanna Joiner<\/strong> [NASA\u2019s Goddard Space Flight Center (GSFC)]. <strong>Matthew Bandel<\/strong> [Science Systems and Applications, Inc. (SSAI)] described NASA\u2019s new OMI monitoring tools.<\/p>\n<p><strong>Sergey Marchenko<\/strong> [SSAI] discussed OMI daily spectral solar irradiance (SSI) data, which are used for monitoring solar activity and can be compared with the dedicated <a href=\"https:\/\/sunclimate.gsfc.nasa.gov\/mission\/tsis-1\" rel=\"noopener\">Total and Spectral Solar Irradiance Sensor<\/a> (TSIS-1) on the International Space Station. Continuation of OMI measurements will allow comparisons with the upcoming NASA <a href=\"https:\/\/science.nasa.gov\/mission\/tsis-2\/\" rel=\"noopener\">TSIS-2<\/a> mission. <strong>Antje Inness<\/strong> [European Centre for Medium-range Weather Forecasts (ECMWF)] described operational assimilation of OMI and TROPOMI near-real time data into the European <a href=\"https:\/\/atmosphere.copernicus.eu\/\" rel=\"noopener\">Copernicus Atmosphere Monitoring Service (<\/a>CAMS) daily analysis\/forecast and re-analysis \u2013 see <strong>Figure 1<\/strong>.<\/p>\n<div class=\"hds-media hds-module wp-block-image\">\n<div class=\"margin-left-auto margin-right-auto nasa-block-align-inline\">\n<div class=\"hds-media-wrapper margin-left-auto margin-right-auto\">\n<figure class=\"hds-media-inner hds-cover-wrapper hds-media-ratio-fit \"><a href=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1037\" height=\"24\" src=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png?w=1037\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"Gray Separator Line\" block_context=\"nasa-block\" srcset=\"https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png 1037w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png?resize=300,7 300w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png?resize=768,18 768w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png?resize=1024,24 1024w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png?resize=400,9 400w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png?resize=600,14 600w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png?resize=900,21 900w\" sizes=\"auto, (max-width: 1037px) 100vw, 1037px\"><\/a><\/figure>\n<\/div>\n<\/div>\n<\/div>\n<p><strong><em>In Memoriam: Johan de Vries<\/em><\/strong><\/p>\n<div class=\"hds-media hds-module wp-block-image\">\n<div class=\"margin-left-auto margin-right-auto nasa-block-align-inline\">\n<div class=\"hds-media-wrapper margin-left-auto margin-right-auto\">\n<figure class=\"hds-media-inner hds-cover-wrapper hds-media-ratio-fit \"><a href=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/inmemoriam.jpg\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1440\" height=\"440\" src=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/inmemoriam.jpg?w=1440\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"Johan de Vries In Memoriam Photo\" block_context=\"nasa-block\" srcset=\"https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/inmemoriam.jpg 1440w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/inmemoriam.jpg?resize=300,92 300w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/inmemoriam.jpg?resize=768,235 768w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/inmemoriam.jpg?resize=1024,313 1024w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/inmemoriam.jpg?resize=400,122 400w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/inmemoriam.jpg?resize=600,183 600w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/inmemoriam.jpg?resize=900,275 900w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/inmemoriam.jpg?resize=1200,367 1200w\" sizes=\"auto, (max-width: 1440px) 100vw, 1440px\"><\/a><\/figure><figcaption class=\"hds-caption padding-y-2\">\n<div class=\"hds-caption-text p-sm margin-0\"><strong>Johan de Vries<\/strong><br \/><em>June 10, 1956 \u2013 May 8, 2024<\/em><\/div>\n<\/figcaption><\/div>\n<\/div>\n<\/div>\n<p><strong>Johan de Vries<\/strong>\u00a0[Airbus Netherlands\u2014<em>Senior Specialist Remote Sensing<\/em>] passed away suddenly on May 8, 2024, after a distinguished career. As a member of the <a href=\"https:\/\/aura.gsfc.nasa.gov\/omi.html\" rel=\"noopener\">Ozone Monitoring Instrument<\/a>\u00a0(OMI)\u2013<a href=\"https:\/\/www.tropomi.eu\/\" rel=\"noopener\">TROPOspheric Monitoring Instrument<\/a>\u00a0(TROPOMI) program, Johan conceptualized the idea of using a two-dimensional (2D) charged couple detector (CCD) for the OMI imaging spectrometer. This\u00a0\u201cpush-broom\u201d design led to high-spatial resolution spectra combined with high-spatial resolution and daily global coverage capability. His pioneering design for OMI has now been repeated on several other U.S. and international atmospheric composition measuring instruments \u2013 in both low and geostationary orbits \u2013 that are either in orbit or planned for launch soon. This achievement ensures that Johan\u2019s legacy will live on for many years to come as these push-broom Earth observing spectrometers result in unprecedented data for environmental research and applications. The OMI and TROPOMI teams express their deepest condolences to de Vries family and colleagues over this loss.\u00a0<\/p>\n<div class=\"hds-media hds-module wp-block-image\">\n<div class=\"margin-left-auto margin-right-auto nasa-block-align-inline\">\n<div class=\"hds-media-wrapper margin-left-auto margin-right-auto\">\n<figure class=\"hds-media-inner hds-cover-wrapper hds-media-ratio-fit \"><a href=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1037\" height=\"24\" src=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png?w=1037\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"Gray Separator Line\" block_context=\"nasa-block\" srcset=\"https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png 1037w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png?resize=300,7 300w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png?resize=768,18 768w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png?resize=1024,24 1024w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png?resize=400,9 400w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png?resize=600,14 600w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/05\/eo-grayseparator-line.png?resize=900,21 900w\" sizes=\"auto, (max-width: 1037px) 100vw, 1037px\"><\/a><\/figure>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"hds-media hds-module wp-block-image\">\n<div class=\"margin-left-auto margin-right-auto nasa-block-align-inline\">\n<div class=\"hds-media-wrapper margin-left-auto margin-right-auto\">\n<figure class=\"hds-media-inner hds-cover-wrapper hds-media-ratio-fit \"><a href=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/figure1.png\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1358\" height=\"2048\" src=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/figure1.png?w=1358\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"OMI\u2013TROPOMI Figure 1\" block_context=\"nasa-block\" srcset=\"https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure1.png 1440w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure1.png?resize=199,300 199w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure1.png?resize=768,1158 768w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure1.png?resize=679,1024 679w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure1.png?resize=1018,1536 1018w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure1.png?resize=1358,2048 1358w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure1.png?resize=265,400 265w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure1.png?resize=398,600 398w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure1.png?resize=597,900 597w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure1.png?resize=796,1200 796w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure1.png?resize=1326,2000 1326w\" sizes=\"auto, (max-width: 1358px) 100vw, 1358px\"><\/a><\/figure><figcaption class=\"hds-caption padding-y-2\">\n<div class=\"hds-caption-text p-sm margin-0\"><strong>Figure\u00a01.<\/strong> An example of TROPOMI pixel nitrogen dioxide (NO<sub>2<\/sub>) observations over Europe on September 8, 2018 [t<em>op<\/em>] and the corresponding super observations [<em>bottom<\/em>] for a model grid of 0.5 x 0.5<sup>o<\/sup>. Cloudy locations are colored\u00a0grey. TROPOMI super observations are tested for use in the European Centre for Medium Range Weather Forecasting (ECMWF) Copernicus Atmosphere Monitoring Service (CAMS) data assimilation framework and will also\u00a0be used for combined OMI\u2013TROPOMI gridded datasets.<\/div>\n<div class=\"hds-credits\"><strong>Figure credit: <\/strong>reprinted from a 2024 paper posted on\u00a0EGUSphere.<\/div>\n<\/figcaption><\/div>\n<\/div>\n<\/div>\n<p><strong>Updates on OMI and TROPOMI Level-2 Data Products<\/strong><\/p>\n<p>The U.S. and Netherlands OMI STs continue to collaborate closely on reprocessing and improving OMI and TROPOMI L2 science products. During the meeting, one or more presenters reported on each product, which are described in the paragraphs that follow.<\/p>\n<p><strong>Serena Di Pede<\/strong>\u00a0[KNMI] discussed the latest algorithm updates to the Collection 4 OMI Total Column Ozone (O<sub>3<\/sub>) product, which is derived using differential absorption spectroscopy (DOAS). She compared results from the new algorithm with the previous Collection 3 and with both the TROPOMI and OMI NASA O<sub>3<\/sub> total column (Collection 3) algorithms. Collection 4 improved on previous versions by reducing the retrieval fit error and the along-track stripes of the product.<\/p>\n<p><strong>Juseon \u201cSunny\u201d Bak<\/strong>\u00a0and\u00a0<strong>Xiong Liu<\/strong>\u00a0[both from Smithsonian Astrophysical Observatory (SAO)] gave updates on the status of the Collection 4 O<sub>3<\/sub> profile products.<\/p>\n<p><strong>Lok Lamsal<\/strong>\u00a0[GSFC\/University of Maryland, Baltimore County (UMBC)] and\u00a0<strong>Henk Eskes<\/strong>\u00a0[KNMI] compared Collection 3 and Collection 4 of the nitrogen dioxide (NO<sub>2<\/sub>) products.\u00a0\u00a0<\/p>\n<p><strong>Zolal Ayzpour<\/strong>\u00a0[SAO] discussed the status of the OMI Collection 4 formaldehyde (HCHO) product.<\/p>\n<p><strong>Hyeong-Ahn Kwon<\/strong>\u00a0[SAO] presented a poster that updated the Glyoxal product.<\/p>\n<p><strong>Omar Torres\u00a0<\/strong>[GSFC] and\u00a0<strong>Changwoo Ahn\u00a0<\/strong>[GSFC\/SSAI] presented regional trend analyses using the re-processed OMI Collection 4\u00a0absorbing aerosol product \u2013 see\u00a0<strong>Figure 2<\/strong>.<\/p>\n<div class=\"hds-media hds-module wp-block-image\">\n<div class=\"margin-left-auto margin-right-auto nasa-block-align-inline\">\n<div class=\"hds-media-wrapper margin-left-auto margin-right-auto\">\n<figure class=\"hds-media-inner hds-cover-wrapper hds-media-ratio-fit \"><a href=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/figure2.png\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1440\" height=\"990\" src=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/figure2.png?w=1440\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"OMI\u2013TROPOMI Figure 2\" block_context=\"nasa-block\" srcset=\"https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure2.png 1440w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure2.png?resize=300,206 300w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure2.png?resize=768,528 768w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure2.png?resize=1024,704 1024w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure2.png?resize=400,275 400w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure2.png?resize=600,413 600w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure2.png?resize=900,619 900w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure2.png?resize=1200,825 1200w\" sizes=\"auto, (max-width: 1440px) 100vw, 1440px\"><\/a><\/figure><figcaption class=\"hds-caption padding-y-2\">\n<div class=\"hds-caption-text p-sm margin-0\"><strong>Figure 2<\/strong>. Reprocessed OMI records (from Collection 4) of monthly average aerosol optical depth (AOD) at 388 nm derived from the OMI aerosol algorithm (OMAERUV) over Western North America (WNA): 30\u00b0N\u201350\u00b0N, 110\u00b0W\u2013128\u00b0W) [<em>top<\/em>] and over Eastern China (EC): 25\u00b0N\u201343\u00b0N, 112\u00b0E\u2013124\u00b0E) [<em>bottom<\/em>]. A repeatable annual cycle over WNA occurred with autumn minimum at around 0.1 and a spring maximum in the vicinity of 0.4 during the 2005\u20132016 period. After 2017 much larger AOD maxima in the late summer are associated with wildfire smoke occurrence. Over EC (bottom) the 2005\u20132014 AOD record depicts a large spring maxima (0.7 and larger) due to long-range transport of dust and secondary pollution aerosols followed by late autumn minima (around 0.3). A significant AOD decrease is observed starting in 2015 with reduced minimum and maximum values to about 0.2 and 0.5 respectively. The drastic change in AOD load over this region is associated with pollution control measures enacted over the last decade.<\/div>\n<div class=\"hds-credits\"><strong>Figure credit<\/strong>: Changwoo Ahn\/GSFC\/SSAI and Omar Torres\/GSFC<\/div>\n<\/figcaption><\/div>\n<\/div>\n<\/div>\n<p><strong>Updates on EOS Synergy Products<\/strong><\/p>\n<p>Several presenters and posters during the meeting gave updates on EOS synergy products, where OMI data are combined with data from another instrument on one of the EOS flagships.\u00a0These are described below.<\/p>\n<p><strong>Brad Fisher\u00a0<\/strong>[SSAI] presented a poster on the Joint OMI\u2013<a href=\"https:\/\/modis.gsfc.nasa.gov\/\" rel=\"noopener\">Moderate Resolution Imaging Spectroradiometer<\/a>\u00a0(MODIS) cloud products.<\/p>\n<p><strong>Wenhan Qin<\/strong>\u00a0[GSFC\/SSAI] presented a poster on the MODIS\u2013OMI Geometry Dependent Lambertian Equivalent Surface Reflectivity (GLER) product.<\/p>\n<p><strong>Jerry Ziemke<\/strong>\u00a0[GSFC and Morgan State University (MSU)] presented on the OMI\u2013MLS Tropospheric Ozone product that showed post-COVID tropospheric O<sub>3<\/sub> levels measured using this product, which are consistent with similar measurements obtained using other satellite O<sub>3<\/sub> data \u2013 see\u00a0<strong>Figure 3<\/strong>.<\/p>\n<div class=\"hds-media hds-module wp-block-image\">\n<div class=\"margin-left-auto margin-right-auto nasa-block-align-inline\">\n<div class=\"hds-media-wrapper margin-left-auto margin-right-auto\">\n<figure class=\"hds-media-inner hds-cover-wrapper hds-media-ratio-fit \"><a href=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/figure3-2.png\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1440\" height=\"725\" src=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/figure3-2.png?w=1440\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"OMI\u2013TROPOMI Figure 3\" block_context=\"nasa-block\" srcset=\"https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure3-2.png 1440w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure3-2.png?resize=300,151 300w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure3-2.png?resize=768,387 768w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure3-2.png?resize=1024,516 1024w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure3-2.png?resize=400,201 400w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure3-2.png?resize=600,302 600w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure3-2.png?resize=900,453 900w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure3-2.png?resize=1200,604 1200w\" sizes=\"auto, (max-width: 1440px) 100vw, 1440px\"><\/a><\/figure><figcaption class=\"hds-caption padding-y-2\">\n<div class=\"hds-caption-text p-sm margin-0\"><strong>Figure 3<\/strong>. Anomaly maps of merged tropospheric column O<sub>3<\/sub> (TCO) satellite data (Dobson Units) for spring\u2013summer 2020\u20132023.\u00a0In this context, an\u00a0<em>anomaly<\/em>\u00a0is defined as deseasonalized O<sub>3<\/sub> data.\u00a0The anomaly maps are derived by first calculating seasonal climatology maps for 2016\u20132019 (i.e., pre-COVID pandemic) and then subtracting these climatology maps from the entire data record.\u00a0<br \/><strong>Note<\/strong>: The sensors used in this analysis include: the Ozone Mapping and Profiler Suite (OMPS)\/\u00a0Modern-Era Retrospective analysis for Research and Applications, Version 2\u00a0(MERRA-2) and Cross-track Infrared Sounder (CrIS) on the Joint Polar Satellite System (JPSS) missions, which currently include the joint NASA\u2013NOAA Suomi National Polar-orbiting Partnership (Suomi NPP), NOAA-20, and NOAA-21;\u00a0the Earth Polychromatic Imaging Camera (EPIC)\/MERRA-2\u00a0on the Deep Space Climate Observatory (DSCOVR); the Ozone Monitoring Instrument (OMI) and Microwave Limb Sounder (MLS), both on EOS Aura; the Infrared Atmospheric Sounding Interferometer (IASI)\/ Fast Optimal Retrievals on Layers\u00a0(FORLI), IASI\/SOftware for Fast Retrievals of IASI Data (SOFRID), and IASI\/Global Ozone Monitoring Experiment\u20132 (GOME2). IASI flies on the European MetOp-A, -B, and -C missions. The OMPS\/MERRA-2 and EPIC\/MERRA-2 products subtract coincident\u00a0MERRA-2\u00a0stratospheric column O<sub>3<\/sub> from total O<sub>3<\/sub> to derive tropospheric column O<sub>3<\/sub>.<\/div>\n<div class=\"hds-credits\"><strong>Figure credit:<\/strong> Jerry Ziemke\/GSFC and Morgan State University (MSU)\u00a0<\/div>\n<\/figcaption><\/div>\n<\/div>\n<\/div>\n<p><strong>Updates on Multisatellite Climate Data Records<\/strong><\/p>\n<p>The OMI ST also discussed refining and analyzing multisatellite climate data records (CDRs) that have been processed with consistent algorithms. Several presenters reported on this work, who are mentioned below.<\/p>\n<p><strong>Jenny Stavrakou<\/strong>\u00a0[Koninklijk Belgisch Instituut voor Ruimte-Aeronomie, Royal Belgian Institute for Space Aeronomy (BIRA\u2013IASB)], reported on work focusing on the OMI and TROPOMI HCHO CDR and\u00a0<strong>Huan Yu<\/strong>\u00a0[BIRA\u2013IASB)] reported harmonized OMI and TROPOMI cloud height datasets based on improved O<sub>2<\/sub>-O<sub>2<\/sub>\u00a0absorption retrieval algorithm.<\/p>\n<p><strong>Lok Lamsal\u00a0<\/strong>[GSFC\/UMBC, Goddard Earth Sciences Technology and Research (GESTAR) II], Henk Eskes, and\u00a0<strong>Pepijn Veefkind<\/strong>\u00a0[KNMI] reported on the OMI and TROPOMI NO<sub>2<\/sub> CDRs \u2013 see <strong>Figure 4<\/strong>.\u00a0<\/p>\n<p><strong>Si-Wan Kim<\/strong>\u00a0[Yonsei University,\u00a0<em>South Korea<\/em>] reported on OMI and TROPOMI long-term NO<sub>2<\/sub> trends.<\/p>\n<div class=\"hds-media hds-module wp-block-image\">\n<div class=\"margin-left-auto margin-right-auto nasa-block-align-inline\">\n<div class=\"hds-media-wrapper margin-left-auto margin-right-auto\">\n<figure class=\"hds-media-inner hds-cover-wrapper hds-media-ratio-fit \"><a href=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/figure4.png\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1440\" height=\"590\" src=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/figure4.png?w=1440\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"OMI\u2013TROPOMI Figure 4\" block_context=\"nasa-block\" srcset=\"https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure4.png 1440w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure4.png?resize=300,123 300w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure4.png?resize=768,315 768w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure4.png?resize=1024,420 1024w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure4.png?resize=400,164 400w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure4.png?resize=600,246 600w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure4.png?resize=900,369 900w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure4.png?resize=1200,492 1200w\" sizes=\"auto, (max-width: 1440px) 100vw, 1440px\"><\/a><\/figure><figcaption class=\"hds-caption padding-y-2\">\n<div class=\"hds-caption-text p-sm margin-0\"><strong>Figure 4<\/strong>. OMI nitrogen dioxide (NO<sub>2<\/sub>)\u00a0time series bridging the first GOME mission (which flew on the European Remote Sensing Satellite\u20132 (ERS\u20132) from 1995\u20132011 with limited coverage after 2003) and measurements from the two currently operating missions \u2013 OMI (2004\u2013present) and TROPOMI (2017\u2013present) \u2013 offer consistent climate data records that allow for studying long-term changes. This example shows tropospheric NO<sub>2<\/sub>\u00a0column time series from three instruments over Phoenix, AZ. The overlap between the OMI and TROPOMI missions allows for intercomparison between the two, which is crucial to avoid continuity-gaps in multi-instrument time series.\u00a0The ERS-2 (GOME) had a morning equator crossing time (10:30 AM), while Aura (OMI) and Metop\u00a0(TROPOMI) have afternoon equator crossing times of 1:45 PM and 1:30 PM respectively.<\/div>\n<div class=\"hds-credits\"><strong>Figure credit<\/strong>: Lok Lamsal\/GSFC\/University of Maryland, Baltimore County (UMBC)<\/div>\n<\/figcaption><\/div>\n<\/div>\n<\/div>\n<p><strong>Update on Aura\u2019s Drifting Orbit<\/strong><\/p>\n<p><strong>Bryan Duncan <\/strong>[GSFC\u2014<em>Aura Project Scientist<\/em>] closed out the first day with a presentation summarizing predictions of Aura\u2019s drifting orbit. Overall, the impact of Aura\u2019s drift is expected to be minor, and the OMI and MLS teams will be able to maintain science quality data for most data products. He thanked the OMI\/TROPOMI ST and user community for expressing their strong support for continuing Aura observations until the end of the Aura mission in mid\u20132026.<\/p>\n<p><strong>DAY TWO<\/strong><\/p>\n<p>The second day of the meeting focused on current and upcoming LEO and GEO Atmospheric Composition (AC)\u00a0missions.<\/p>\n<p><strong>TROPOMI Mission and Data Product Updates<\/strong><\/p>\n<p>Veefkind\u00a0presented an update on the TROPOMI mission, which provides continuation and enhancements for all OMI products.\u00a0<strong>Tobias Borssdorf<\/strong>\u00a0[Stichting Ruimte Onderzoek Nederland (SRON), or Netherlands Institute for Space Research] explained how TROPOMI, with its innovative shortwave infrared (SWIR) spectrometer, measures CH<sub>4<\/sub>\u00a0and carbon monoxide (CO). This approach continues measurements that began by the\u00a0<a href=\"https:\/\/terra.nasa.gov\/about\/terra-instruments\/mopitt\" rel=\"noopener\">Measurements of Pollution in the Troposphere<\/a>\u00a0(MOPITT) instrument on Terra.<\/p>\n<p><strong>Hiren Jethva\u00a0<\/strong>[NASA Airborne Science Program] and Torres\u00a0presented new TROPOMI near-UV aerosol products<strong>,\u00a0<\/strong>including a new aerosol layer optical centroid height product, which takes advantage of the TROPOMI extended spectral range \u2013 see\u00a0<strong>Figure 5<\/strong>.<\/p>\n<div class=\"hds-media hds-module wp-block-image\">\n<div class=\"margin-left-auto margin-right-auto nasa-block-align-inline\">\n<div class=\"hds-media-wrapper margin-left-auto margin-right-auto\">\n<figure class=\"hds-media-inner hds-cover-wrapper hds-media-ratio-fit \"><a href=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/figure5.png\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1440\" height=\"815\" src=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/figure5.png?w=1440\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"OMI\u2013TROPOMI Figure 5\" block_context=\"nasa-block\" srcset=\"https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure5.png 1440w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure5.png?resize=300,170 300w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure5.png?resize=768,435 768w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure5.png?resize=1024,580 1024w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure5.png?resize=400,226 400w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure5.png?resize=600,340 600w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure5.png?resize=900,509 900w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure5.png?resize=1200,679 1200w\" sizes=\"auto, (max-width: 1440px) 100vw, 1440px\"><\/a><\/figure><figcaption class=\"hds-caption padding-y-2\">\n<div class=\"hds-caption-text p-sm margin-0\"><strong>Figure 5.<\/strong> Global gridded (0.10\u00b0 x 0.10\u00b0) composite map of aerosol layer optical centroid height (AH) retrieved from TROPOMI O<sub>2<\/sub>-B band observations from May\u2013September 2023.<\/div>\n<div class=\"hds-credits\"><strong>Figure credit:<\/strong> Hiren Jethva\/NASA Airborne Science Program<\/div>\n<\/figcaption><\/div>\n<\/div>\n<\/div>\n<p><strong>GEMS\u2013TEMPO\u2013Sentinel-4 (UVN): A Geostationary Air Quality Constellation<\/strong><\/p>\n<p>TROPOMI global observations serve as a\u00a0<em>de facto<\/em>\u00a0calibration standard used to homogenize a new constellation of three missions that will provide AC observations for most of the Northern Hemisphere from GEO. Two of the three constellation members are already in orbit.\u00a0<strong>Jhoon Kim<\/strong>\u00a0[Yonsei University\u2014<em>PI<\/em>] discussed the\u00a0<a href=\"https:\/\/amt.copernicus.org\/articles\/17\/145\/2024\/\" rel=\"noopener\">Geostationary Environmental Monitoring Spectrometer<\/a>\u00a0(GEMS), launched on February 19, 2020 aboard the Republic of Korea\u2019s GEO-KOMPSAT-2B satellite. It is making GEO AC measurements over Asia. The GEMS team is working on validating measurements of NO<sub>2\u00a0<\/sub>diurnal variations using ground-based measurements from the <a href=\"https:\/\/www.pandonia-global-network.org\/home\/about\/about-pgn\/\" rel=\"noopener\">PANDORA Global Network<\/a>\u00a0over Asia and aircraft measurements from the ASIA\u2013AQ field campaign.<\/p>\n<p>Liu\u00a0discussed NASA\u2019s\u00a0<a href=\"https:\/\/tempo.si.edu\/\" rel=\"noopener\">Tropospheric Emission Monitoring of Pollution<\/a>\u00a0(TEMPO) spectrometer, launched on April 7, 2023, aboard a commercial INTELSAT 40E satellite. From its GEO vantage point, TEMPO can observe the Continental U.S., Southern Canada, Mexico, and the coastal waters of the Northwestern Atlantic and Northeastern Pacific oceans.<\/p>\n<p><strong>Gonzales Abad<\/strong>\u00a0[SAO] presented the first measurements from TEMPO. He explained that TEMPO\u2019s design is similar to GEMS, but GEMS includes an additional visible and near infrared (VNIR) spectral channel (540\u2013740 nm) to measure tropospheric O<sub>3<\/sub>, O<sub>2<\/sub>, and water vapor (H<sub>2<\/sub>Ov). TEMPO can perform optimized morning scans, twilight scans, and scans with high temporal resolution (5\u201310 minutes) over selected regions. Abad reported that the TEMPO team released L1B spectra and the first provisional public L2 products (Version 3), including NO<sub>2<\/sub>, HCHO, and total column O<sub>3<\/sub>.\u00a0<strong>Andrew Rollins<\/strong>\u00a0[National Oceanic and Atmospheric Administration\u2019s (NOAA) Chemical Sciences Laboratory (CSL)] reported that the TEMPO team is working on validation of provisional data using both ground-based data from PANDORA spectrometers and data collected during several different airborne campaigns completed during the summer of 2023 and compiled on the\u00a0<a href=\"https:\/\/csl.noaa.gov\/projects\/ages\/\" rel=\"noopener\">AGES+ website<\/a>.<\/p>\n<p><strong>Ben Veihelmann<\/strong>\u00a0[ESA\u2019s European Space Research and Technology Center\u2014<em>PI<\/em>] explained that ESA\u2019s Copernicus\u00a0<a href=\"https:\/\/sentinels.copernicus.eu\/web\/sentinel\/missions\/sentinel-4\" rel=\"noopener\">Sentinel-4<\/a>\u00a0mission will be the final member of the GEO AC constellation.\u00a0Veefkind\u00a0summarized the Sentinel-4 mission, which is expected to launch on the\u00a0<a href=\"https:\/\/www.eumetsat.int\/meteosat-third-generation\" rel=\"noopener\">Meteosat Third Generation<\/a>\u00a0(MTG)-Sounder 1 (MTG-S1) platform in 2025. The mission is dedicated to measuring air quality and O<sub>3<\/sub>\u00a0over Europe and parts of the Atlantic and North Africa. Sentinel-4 will deploy the first operational\u00a0<a href=\"https:\/\/sentinels.copernicus.eu\/web\/sentinel\/missions\/Sentinel-4\/instrumental-payload\" rel=\"noopener\">UV-Vis-NIR (UVN) imaging spectrometer<\/a>\u00a0on a geostationary satellite. (Airbus will build UVN,\u00a0with ESA providing guidance.) Sentinel-4 includes two instruments launched in sequence on MTG-S1 and MTG-S2 platforms designed to have a combined lifetime of 15 years. The mission by the\u00a0<a href=\"https:\/\/www.eumetsat.int\/\" rel=\"noopener\">European Organisation for the Exploitation of Meteorological Satellites<\/a>\u00a0(EUMETSAT) will operate Sentinel-4, and the\u00a0<a href=\"https:\/\/www.dlr.de\/\" rel=\"noopener\">Deutsches Zentrum f\u00fcr Luft- und Raumfahrt<\/a>\u00a0(DLR) or German Aerospace Center will be responsible for operational L2 processing.<\/p>\n<p>These three GEO AC missions, along with the upcoming ESA\/EUMETSAT\/Copernicus LEO (morning orbit, 9:30 a.m.)\u00a0<a href=\"https:\/\/sentinels.copernicus.eu\/web\/sentinel\/missions\/sentinel-5\" rel=\"noopener\">Sentinel-5<\/a>\u00a0(S5) mission, will complete a LEO\u2013GEO satellite constellation that will enable monitoring of the most industrialized and polluted regions in the Northern Hemisphere into the 2030s. Sentinel-5 will not continue the OMI\u2013TROPOMI data record in the early afternoon; however, it will be placed in the morning orbit and follow ESA\u2019s\u00a0<a href=\"https:\/\/earth.esa.int\/eogateway\/instruments\/gome\" rel=\"noopener\">Global Ozone Monitoring Experiment<\/a>\u00a0(GOME) and EUMETSAT GOME-2 missions. By contrast, GEO AC observations over the Southern Hemisphere are currently not available. Several presenters described ongoing projects for capacity building for LEO satellite air quality data uptake and emission monitoring in Africa and advocated for the new geostationary measurements.<\/p>\n<p><strong>Synergy with Other Current or Upcoming Missions<\/strong><\/p>\n<p>Attendees discussed the synergy between upcoming AC, GHG, and ocean color missions. Current trends in satellite AC measurements are toward increased spatial resolution and combined observations of short-lived reactive trace gases \u2013 which are important for air quality (AQ) monitoring \u2013 and long-lived GHG \u2013 which are important for climate monitoring and carbon cycle assessments. Some trace gases (e.g., O<sub>3<\/sub> and CH<sub>4<\/sub>) are both polluters and GHG agents. Others [e.g., NO<sub>2<\/sub>\u00a0and sulfur dioxide (SO<sub>2\u00a0<\/sub>)] are aerosol [particulate matter (PM)] and O<sub>3<\/sub>\u00a0precursors and are used as proxies and spatial indicators for anthropogenic CO<sub>2<\/sub> and CH<sub>4<\/sub>\u00a0emissions.<\/p>\n<p><strong>Yasjka Meijer<\/strong>\u00a0[ESA\u2014<em>Copernicus Anthropogenic Carbon Dioxide Monitoring (CO<sub>2<\/sub>M) Mission Scientist<\/em>]) reviewed the plans for CO<sub>2<\/sub>M, which includes high-resolution measurements [~4 km<sup>2\u00a0<\/sup>(~1.5 mi<sup>2<\/sup>)] of CO<sub>2\u00a0<\/sub>, CH<sub>4\u00a0<\/sub>, and NO<sub>2<\/sub>.<\/p>\n<p><strong>Jochen Landgraf<\/strong>\u00a0[SRON] described ESA\u2019s new\u00a0<a href=\"https:\/\/earth.sron.nl\/project\/tango\/\" rel=\"noopener\">Twin Anthropogenic Greenhouse Gas Observers<\/a>\u00a0(TANGO) mission, which has the objective to measure CO<sub>2\u00a0<\/sub>, CH<sub>4\u00a0<\/sub>, and NO<sub>2<\/sub>\u00a0at even higher spatial resolution [~300 m (~984 ft)] using two small CubeSat spectrometers flying in formation.<\/p>\n<p><strong>Hiroshi Tanimoto<\/strong>\u00a0[National Institute for Environmental Studies,\u00a0<em>Japan<\/em>] described the Japan Aerospace Exploration Agency\u2019s (JAXA)\u00a0<a href=\"https:\/\/www.satnavi.jaxa.jp\/files\/project\/gosat-gw\/en\/\" rel=\"noopener\">Global Observing SATellite for greenhouse gases and water cycle<\/a>\u00a0(GOSAT-GW) mission, which includes the Total Anthropogenic and Natural Emission mapping SpectrOmeter (TANSO-3) spectrometer to simultaneously measure CO<sub>2\u00a0<\/sub>, CH<sub>4<\/sub>, and NO<sub>2<\/sub>\u00a0with ~1\u20133 km (~0.6\u20131.8 mi) spatial resolution in focus mode. GOSAT-GW will also fly the Advanced Microwave Scanning Radiometer 3 (AMSR3).<\/p>\n<p><strong>Joanna Joiner<\/strong>\u00a0[GSFC\u2014<a href=\"https:\/\/www.nesdis.noaa.gov\/our-satellites\/future-programs\/geostationary-extended-observations-geoxo\" rel=\"noopener\"><em>Geostationary Extended\u00a0Operations<\/em><\/a>\u00a0(<em>GeoXO) Project Scientist<\/em>\u00a0and\u00a0<em>ACX Instrument Scientist<\/em>] described the plans for the next-generation U.S. geosynchronous satellite constellation, which will consist of three satellites covering the full Earth disk: GEO-East, GEO-West, and GEO-Central.\u00a0(By contrast, the current Geostationary Operational Environmental Satellite (GOES) series has two satellites: GOES\u2013East and GOES\u2013West.)\u00a0GEO-Central will carry an advanced infrared sounder (GXS) for measuring vertical profiles of many trace gases, temperature and humidity, and a new UV-VIS spectrometer (ACX), which is a follow-on to TEMPO for AQ applications. Both GXS and ACX instruments will be built by\u00a0<a href=\"https:\/\/www.baesystems.com\/en\/home\" rel=\"noopener\">BAE Systems<\/a>, which acquired Ball Aerospace and Technology, and will also build the GeoXO ocean color spectrometer (OCX).<\/p>\n<p><strong>Andrew Sayer<\/strong>\u00a0[UMBC] described NASA\u2019s\u00a0<a href=\"https:\/\/pace.gsfc.nasa.gov\/\" rel=\"noopener\">Plankton, Aerosols, Clouds, and ocean Ecosystem<\/a>\u00a0(PACE), which launched on February 8, 2024. The PACE payload includes a high-spatial resolution [~1 km (~0.6 mi) at nadir]\u00a0<a href=\"https:\/\/pace.oceansciences.org\/oci.htm\" rel=\"noopener\">Ocean Color Instrument<\/a>\u00a0(OCI), which is a UV-Vis-NIR spectrometer with discrete SWIR bands presenting additional opportunities for synergistic observations with the AC constellation. Sayer presented OCI \u201cfirst light\u201d aerosol data processed using the unified retrieval algorithm developed by\u00a0<strong>Lorraine Remer<\/strong>\u00a0[UMBC].<\/p>\n<p>The second day concluded with a joint crossover session with\u00a0<a href=\"https:\/\/haqast.org\/\" rel=\"noopener\">NASA\u2019s Health and Air Quality Applied Sciences Team<\/a>\u00a0(HAQAST) followed by a poster session.\u00a0Several OMI\u2013TROPOMI STM participants presented on a variety of topics that illustrate how OMI and TROPOMI data are being used to support numerous health and AQ applications.\u00a0Duncan, who is also a member of HAQAST team, presented \u201c20 years of health and air quality applications enabled by OMI data.\u201d He highlighted OMI contributions to AQ and health applications, including NO<sub>2<\/sub>\u00a0trend monitoring, inferring trends of co-emitted species [e.g., CO<sub>2<\/sub>, CO, some Volatile Organic Compounds (VOCs)], validation of new satellite missions (e.g., TEMPO, PACE), and burden of disease studies.<\/p>\n<p><strong>DAY THREE<\/strong><\/p>\n<p>Discussions on the third day focused on advanced retrieval algorithms, leading to new products and new applications for OMI and TROPOMI data. Several presentations described applications of TROPOMI CH<sub>4<\/sub> data and synergy with small satellites.<\/p>\n<p><strong>Advanced Retrieval Algorithms and New Data Products<\/strong><\/p>\n<p><strong>Ilse Aben<\/strong> [SRON] described TROPOMI global detection of CH<sub>4<\/sub> super-emitters using an automated system based on Machine Learning (ML) techniques \u2013 see <strong>Figure 6<\/strong>. <strong>Berend Schuit<\/strong> [SRON] provided additional detail on these methods. He introduced the <a href=\"https:\/\/earth.sron.nl\/methane-emissions\/\" rel=\"noopener\">TROPOMI CH<sub>4<\/sub> web site<\/a> to the meeting participants. He explained how TROPOMI global CH<sub>4<\/sub> measurements use \u201ctip-and-cue\u201d dedicated satellites with much higher spatial resolution instruments [e.g., <a href=\"https:\/\/www.ghgsat.com\/en\/\" rel=\"noopener\">GHGSat<\/a> with ~25-m (~82-ft) resolution] to scan for individual sources and estimate emission rates. Most CH<sub>4<\/sub> super-emitters are related to urban areas and\/or landfills, followed by plumes from gas and oil industries and coal mines.<\/p>\n<div class=\"hds-media hds-module wp-block-image\">\n<div class=\"margin-left-auto margin-right-auto nasa-block-align-inline\">\n<div class=\"hds-media-wrapper margin-left-auto margin-right-auto\">\n<figure class=\"hds-media-inner hds-cover-wrapper hds-media-ratio-fit \"><a href=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/figure6.png\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1440\" height=\"765\" src=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/figure6.png?w=1440\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"OMI\u2013TROPOMI Figure 6\" block_context=\"nasa-block\" srcset=\"https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure6.png 1440w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure6.png?resize=300,159 300w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure6.png?resize=768,408 768w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure6.png?resize=1024,544 1024w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure6.png?resize=400,213 400w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure6.png?resize=600,319 600w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure6.png?resize=900,478 900w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure6.png?resize=1200,638 1200w\" sizes=\"auto, (max-width: 1440px) 100vw, 1440px\"><\/a><\/figure><figcaption class=\"hds-caption padding-y-2\">\n<div class=\"hds-caption-text p-sm margin-0\"><strong>Figure 6.<\/strong> Methane plume map produced by SRON\u00a0shows TROPOMI large CH<sub>4<\/sub> emission plumes for the week of the OMI\u2013TROPOMI meeting (June 3\u20136, 2024).<\/div>\n<div class=\"hds-credits\"><strong>Figure credit<\/strong>: Itse Aben\/Stichting Ruimte Onderzoek Nederland (SRON)<\/div>\n<\/figcaption><\/div>\n<\/div>\n<\/div>\n<p><strong>Alba Lorente<\/strong> [Environmental Defense Fund\u2014<em>Methane Scientist<\/em>] introduced a new <a href=\"https:\/\/www.edf.org\/methanesat\/how-this-satellite-different\" rel=\"noopener\">MethaneSAT<\/a> satellite launched in March 2024, which aims to fill the gap in understanding CH<sub>4<\/sub> emissions on a regional scale [200 x 200 km<sup>2<\/sup> (~77 x 77 mi<sup>2<\/sup>)] from at least 80% of global oil and gas production, agriculture, and urban regions. <strong>Alex Bradley<\/strong> [University of Colorado, Boulder] described improvements to TROPOMI CH<sub>4<\/sub> retrievals that were achieved by correcting seasonal effects of changing surface albedo.<\/p>\n<p><strong>Daniel Jacob<\/strong> [Harvard University] presented several topics, including the highest resolution [~30 m (~98 ft)] NO<sub>2<\/sub> plume retrievals from Landsat-8 \u2013 see<strong> Figure 7<\/strong> \u2013\u00a0and Sentinel-2 imagers. He also discussed using a ML technique trained with TROPOMI data to improve NO<sub>2<\/sub> retrievals from GEMS and modeling NO<sub>2<\/sub> diurnal cycle and emission estimates. He introduced the ratio of ammonia (NH<sub>3<\/sub>) to NO<sub>2<\/sub> (NH<sub>3<\/sub>\/NO<sub>2<\/sub>) as an indicator of particulate matter with diameters less than 2.5 \u00b5m (PM<sub>2.5<\/sub>) nitrate sensitivity regime. Jacob emphasized the challenges related to satellite NO<sub>2<\/sub> retrievals (e.g., accounting for a free-tropospheric NO<sub>2<\/sub> background and aerosols).<\/p>\n<div class=\"hds-media hds-module wp-block-image\">\n<div class=\"margin-left-auto margin-right-auto nasa-block-align-inline\">\n<div class=\"hds-media-wrapper margin-left-auto margin-right-auto\">\n<figure class=\"hds-media-inner hds-cover-wrapper hds-media-ratio-fit \"><a href=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/figure7.png\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"1440\" height=\"921\" src=\"https:\/\/science.nasa.gov\/wp-content\/uploads\/2024\/10\/figure7.png?w=1440\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"OMI\u2013TROPOMI Figure 7\" block_context=\"nasa-block\" srcset=\"https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure7.png 1440w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure7.png?resize=300,192 300w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure7.png?resize=768,491 768w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure7.png?resize=1024,655 1024w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure7.png?resize=400,256 400w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure7.png?resize=600,384 600w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure7.png?resize=900,576 900w, https:\/\/smd-cms.nasa.gov\/wp-content\/uploads\/2024\/10\/figure7.png?resize=1200,768 1200w\" sizes=\"auto, (max-width: 1440px) 100vw, 1440px\"><\/a><\/figure><figcaption class=\"hds-caption padding-y-2\">\n<div class=\"hds-caption-text p-sm margin-0\"><strong>Figure 7.<\/strong> Landsat Optical Land Imager (OLI) image, obtained on October 17, 2021 over Saudi Arabia, shows\u00a0power plant exhaust, which contains nitrogen dioxide (NO<sub>2<\/sub>) drifting downwind from the sources (the two green circles are the stacks). The\u00a0<em>ultra-blue<\/em>\u00a0channel (430\u2013450 nm) on OLI enables quantitative detection of NO<sub>2<\/sub>\u00a0in plumes from large point sources at 30-m (~98-ft) resolution.\u00a0This provides a unique ability for monitoring point-source emissions of oxides of nitrogen (NO<sub>x<\/sub>). The two stacks in the image are separated by 2 km (~1.2 mi).<\/div>\n<div class=\"hds-credits\"><strong>Figure credit<\/strong>: Daniel Jacob \u2013 repurposed from a 2024 publication in\u00a0<em>Proceedings of the National Academies of Sciences<\/em>\u00a0(PNAS)<\/div>\n<\/figcaption><\/div>\n<\/div>\n<\/div>\n<p><strong>Steffen Beirle<\/strong>\u00a0[Max Planck Institute for Chemistry,\u00a0<em>Germany<\/em>] explained his work to fit TROPOMI NO<sub>2<\/sub>\u00a0column measurements to investigate nitric oxide (NO) to NO<sub>2<\/sub>\u00a0processing in power plant plumes.\u00a0<strong>Debra Griffin<\/strong>\u00a0[Environment and Climate Change Canada (ECCC)] used TROPOMI NO<sub>2\u00a0<\/sub>observations and ML random forest technique to estimate NO<sub>2<\/sub>\u00a0surface concentrations.\u00a0<strong>Sara Martinez-Alonso<\/strong>\u00a0[NCAR] investigated geographical and seasonal variations in NO<sub>2<\/sub>\u00a0diurnal cycle using GEMS and TEMPO data.\u00a0 Ziemkecombined satellite O<sub>3<\/sub>\u00a0data to confirm a persistent low anomaly (~5\u201315%) in tropospheric O<sub>3<\/sub>\u00a0after 2020.\u00a0 Jethva\u00a0presented advanced OMI and TROPOMI absorbing aerosol products.\u00a0Yu described improved OMI and TROPOMI cloud datasets using the O<sub>2<\/sub>-O<sub>2<\/sub>\u00a0absorption band at 477 nm.\u00a0<strong>Nicholas Parazoo<\/strong>\u00a0[Jet Propulsion Laboratory (JPL)] described TROPOMI Fraunhofer line retrievals of red solar-induced chlorophyll fluorescence (SIF) near O<sub>2<\/sub>-B band (663\u2013685 nm) to improve mapping of ocean primary productivity.\u00a0<strong>Liyin He<\/strong>\u00a0[Duke University] described using satellite terrestrial SIF data to study the effect of particulate pollution on ecosystem productivity.<\/p>\n<p><strong>New Applications<\/strong><\/p>\n<p><strong>Zachary Fasnacht<\/strong>\u00a0[SSAI] used OMI and TROPOMI spectra to train a neural network to gap-fill MODIS and\u00a0<a href=\"https:\/\/ncc.nesdis.noaa.gov\/VIIRS\/\" rel=\"noopener\">Visible Infrared Imaging Radiometer Suite<\/a>\u00a0(VIIRS) ocean color data under aerosol, sun glint, and partly cloudy conditions. This ML method can also be applied to PACE OCI spectra.\u00a0<strong>Anu-Maija Sundstr\u00f6m<\/strong>\u00a0[Finnish Meteorological Institute (FMI)] used OMI and TROPOMI SO<sub>2<\/sub>\u00a0and O<sub>3\u00a0<\/sub>data as proxies to study new particle formation events.\u00a0<strong>Lindsey Anderson\u00a0<\/strong>[University of Colorado, Boulder] described how she used TROPOMI NO<sub>2<\/sub>\u00a0and CO measurements to estimate the composition of wildfire emissions and their effect on forecasted air quality.\u00a0<strong>Heesung Chong\u00a0<\/strong>[SAO] applied OMI bromine oxide (BrO) retrievals to the NOAA operational\u00a0<a href=\"https:\/\/www.nesdis.noaa.gov\/our-satellites\/currently-flying\/joint-polar-satellite-system\/ozone-mapping-and-profiler-suite-omps\" rel=\"noopener\">Ozone Mapping and Profiling Suite<\/a>\u00a0Nadir Mapper (OMPS-NM) on joint NOAA\u2013NASA\u00a0<a href=\"https:\/\/eospso.nasa.gov\/missions\/suomi-national-polar-orbiting-partnership\" rel=\"noopener\">Suomi-National Polar-orbiting Partnership<\/a>\u00a0(Suomi NPP) satellite with the possibility to continue afternoon measurements using similar OMPS-NM instruments on the four\u00a0<a href=\"https:\/\/www.nesdis.noaa.gov\/our-satellites\/currently-flying\/joint-polar-satellite-system\" rel=\"noopener\">Joint Polar Satellite System<\/a>\u00a0missions (JPSS-1,-2,-3,-4) into the 2030s. (JPSS-1 and -2 are now in orbit and known as NOAA-20 and -21 respectively; JPSS-4 is planned for launch in 2027, with JPSS-3 currently targeted for 2032.)<\/p>\n<p>Kim\u00a0demonstrated the potential for using satellite NO<sub>2<\/sub>\u00a0and SO<sub>2<\/sub>\u00a0emissions as a window into socioeconomic issues that are not apparent by other methods. For example, she showed how OMI and TROPOMI data were widely used to monitor air quality improvements in the aftermath of COVID-19 lockdowns. (<strong>Brad Fisher<\/strong>\u00a0[SSAI] presented a poster on a similar topic.)<\/p>\n<p><strong>Cathy Clerbaux<\/strong>\u00a0[Center National d\u2019\u00c9tudes Spatiale (CNES), or French Space Agency] showed how her team used TROPOMI NO<sub>2\u00a0<\/sub>data to trace the signal emitted by ships and used this information to determine how the shipping lanes through the Suez Canal changed in response to unrest in the Middle East.\u00a0<strong>Iolanda Ialongo<\/strong>\u00a0[FMI] showed a similar drop of NO<sub>2<\/sub>\u00a0emissions over Donetsk region due to the war in Ukraine. Levelt\u00a0showed how OMI and TROPOMI NO<sub>2\u00a0<\/sub>data are used for capacity-building projects and for air quality reporting in Africa. She also advocated for additional geostationary AQ measurements over Africa.<\/p>\n<p><strong>DAY FOUR<\/strong><\/p>\n<p>Discussions on the final day focused on various methods of assimilating satellite data into air quality models for emission inversions and aircraft TEMPO validation campaigns. The meeting ended with Levelt giving her unique perspective on the OMI mission, as she reflected on more than two decades being involved with the development, launch, operation, and maintenance of OMI.\u00a0\u00a0<\/p>\n<p><strong>Assimilating Satellite Data into Models for Emissions<\/strong><\/p>\n<p><strong>Brian McDonald<\/strong> [CSL] described advance chemical data assimilation of satellite data for emission inversions and the <a href=\"https:\/\/csl.noaa.gov\/groups\/csl4\/gra2pes\" rel=\"noopener\">GReenhouse gas And Air Pollutants Emissions System<\/a> (GRA<sup>2<\/sup>PES). He showed examples of assimilations using TROPOMI and TEMPO NO<sub>2<\/sub> observations to adjust <em>a priori <\/em>emissions. He also showed that when TEMPO data are assimilated, NO<sub>x<\/sub> emissions adjust faster and tend to perform better at the urban scale. <strong>Adrian Jost<\/strong> [Max Planck Institute for Chemistry] described the ESA-funded <a href=\"https:\/\/www.world-emission.com\/\" rel=\"noopener\">World Emission<\/a> project to improve pollutant and GHG emission inventories using satellite data. He showed examples of TROPOMI SO<sub>2<\/sub> emissions from large-point sources and compared the data with bottom-up and <a href=\"https:\/\/so2.gsfc.nasa.gov\/measures.html\" rel=\"noopener\">NASA SO<sub>2<\/sub> emissions catalogue<\/a>.<\/p>\n<p><strong>Ivar van der Velde<\/strong> [SRON] presented a method to evaluate fire emissions using new satellite imagery of burned area and TROPOMI CO. <strong>Helene Peiro<\/strong> [SRON] described her work to combine TROPOMI CO and burned area information to compare the impact of prescribed fires versus wildfires on air quality in the U.S. She concluded that prescribed burning reduces CO pollution. <strong>Barbara Dix<\/strong> [University of Colorado, Boulder, Cooperative Institute for Research in Environmental Sciences] derived NO<sub>x<\/sub> emissions from U.S. oil and natural gas production using TROPOMI NO<sub>2<\/sub> data and flux divergence method. She estimated TROPOMI CH<sub>4<\/sub> emissions from Denver\u2013Julesburg oil and natural gas production. Dix explained that the remaining challenge is to separate oil and gas emissions from other co-located CH<sub>4<\/sub> sources. <strong>Ben Gaubert<\/strong> [NCAR, Atmospheric Chemistry Observations and Modeling] described nonlinear and non-Gaussian ensemble assimilation of MOPITT CO using the data assimilation research testbed (DART).<\/p>\n<p><strong>Andrew (Drew) Rollings\u00a0<\/strong>[CSL] presented first TEMPO validation results from airborne field campaigns in 2023 (<a href=\"https:\/\/csl.noaa.gov\/projects\/ages\/\" rel=\"noopener\">AGES+<\/a>\u00a0), including NOAA CSL Atmospheric Emissions and Reactions\u00a0observed from Megacities to Marine Aeras (<a href=\"https:\/\/csl.noaa.gov\/projects\/aeromma\" rel=\"noopener\">AEROMMA<\/a>) and NASA\u2019s Synergistic TEMPO Air Quality Science (<a href=\"https:\/\/csl.noaa.gov\/projects\/ages\/staqs\/\" rel=\"noopener\">STAQS<\/a>) campaigns.<\/p>\n<p><strong>A Reflection on Twenty Years of OMI Observations<\/strong><\/p>\n<p>Levelt\u00a0gave a closing presentation in which she reflected on her first involvement with the OMI mission as a young scientist back in 1998. This led to a collaboration with the international ST to develop the instrument, which was included as part of Aura\u2019s payload\u00a0when it launched in July 2004. She reminisced about important highlights from 2 decades of OMI, e.g., the 10-year anniversary STM at KNMI in 2014 (see \u201c<a href=\"https:\/\/eospso.nasa.gov\/sites\/default\/files\/eo_pdfs\/May-Jun%202014_final_color508.pdf#page=23\" rel=\"noopener\">Celebrating Ten Years of OMI Observations<\/a>,\u201d\u00a0<em>The Earth Observer<\/em>, May\u2013Jun 2014,\u00a0<strong>26:3<\/strong>, 23\u201330), and the OMI ST receiving the NASA\/U.S. Geological Survey Pecora award in 2018 and the American Meteorological Society\u2019s Special award in 2021.<\/p>\n<p>Levelt pointed out that in this combined OMI\u2013TROPOMI meeting the movement towards using air pollution and GHG data together became apparent. She ended by saying that the OMI instrument continues to \u201cage gracefully\u201d and its legacy continues with the TROPOMI and LEO\u2013GEO atmospheric composition constellation of satellites that were discussed during the meeting.<\/p>\n<p><strong>Conclusion<\/strong><\/p>\n<p>Overall, the second OMI\u2013TROPOMI STM acknowledged OMI\u2019s pioneering role and TROPOMI\u2019s unique enhancements in measurements of atmospheric composition:\u00a0<\/p>\n<ol start=\"1\">\n<li><strong>Ozone Layer Monitoring<\/strong>: Over the past two decades,\u00a0OMI\u00a0has provided invaluable data on the concentration and distribution of O<sub>3<\/sub> in the Earth\u2019s stratosphere. This data has been crucial for understanding and monitoring the recovery of the O<sub>3<\/sub> layer following international agreements, such as the Montreal Protocol.<\/li>\n<li><strong>Air Quality Assessment<\/strong>:\u00a0OMI\u2019s high-resolution measurements of air pollutants, such as NO<sub>2<\/sub>, SO<sub>2<\/sub>, and HCHO, have significantly advanced our understanding of air quality. This information has been vital for tracking pollution sources, studying their transport and transformation, and assessing their impact on human health and the environment.<\/li>\n<li><strong>Climate Research<\/strong>: The data collected by\u00a0OMI\u00a0has enhanced our knowledge of the interactions between atmospheric chemistry and climate change. These insights have been instrumental in refining climate models and improving our predictions of future climate scenarios.<\/li>\n<li><strong>Global Impact<\/strong>: The\u00a0OMI\u00a0instrument has provided near-daily global coverage of atmospheric data, which has been essential for scientists and policymakers worldwide. The comprehensive and reliable data from\u00a0OMI\u00a0has supported countless research projects and informed decisions aimed at protecting and improving our environment.<\/li>\n<\/ol>\n<p>OMI remains one of the most stable UV\/Vis instruments over its two decades of science and trend quality data collection. The success of the\u00a0OMI\u00a0and TROPOMI instruments is a testament to the collaboration, expertise, and dedication of both teams.<\/p>\n<p><em><strong>Nickolay Krotkov<\/strong><\/em><br \/><em><strong>NASA\u2019s Goddard Space Flight Center<\/strong><\/em><br \/><a href=\"mailto:Nickolay.a.krotkov@nasa.gov\"><strong><em>Nickolay.a.krotkov@nasa.gov<\/em><\/strong><\/a><\/p>\n<p><strong><em>Pieternel Levelt<\/em><\/strong><br \/><strong><em>National Center for Atmospheric Research, Atmospheric Chemistry Observations &#038; Modeling<\/em><\/strong><br \/><strong><em><a href=\"mailto:levelt@ucar.edu\">levelt@ucar.edu<\/a><\/em><\/strong><\/p>\n<div class=\"nasa-gb-align-full width-full maxw-full padding-x-3 padding-y-0 nasa_template_article_a hds-module hds-module-full wp-block-nasa-blocks-credits-and-details\">\n<section class=\"padding-x-0 padding-top-5 padding-bottom-2 desktop:padding-top-7 desktop:padding-bottom-9\">\n<div class=\"grid-row grid-container maxw-widescreen 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href=\"https:\/\/science.nasa.gov\/earth-science\/\" rel=\"noopener\">Earth Science<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<p class=\"wpematico_credit\"><small>Powered by <a href=\"http:\/\/www.wpematico.com\" target=\"_blank\" rel=\"noopener\">WPeMatico<\/a><\/small><\/p>\n<p><a href=\"https:\/\/science.nasa.gov\/science-research\/earth-science\/summary-of-the-second-omi-tropomi-science-team-meeting\/\" target=\"_blank\" rel=\"noopener\">Get The Details&#8230;<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction The second joint Ozone Monitoring Instrument (OMI)\u2013TROPOspheric Monitoring Instrument (TROPOMI) Science Team (ST) meeting was held June 3\u20136, 2024. The meeting used a hybrid format, with the in-person meeting hosted at the National Center for Atmospheric Research (NCAR) in Boulder, CO. 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