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Summary of the Second OMI–TROPOMI Science Team Meeting


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Summary of the Second OMI–TROPOMI Science Team Meeting

Introduction

The second joint Ozone Monitoring Instrument (OMI)–TROPOspheric Monitoring Instrument (TROPOMI) Science Team (ST) meeting was held June 3–6, 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 – see Photo.

OMI flies on NASA’s Earth Observing System (EOS) Aura platform, launched July 15, 2004. TROPOMI flies on the European Space Agency’s (ESA)–Copernicus Sentinel-5 Precursor platform. OMI has collected nearly 20 years of data and TROPOMI now has amassed 5 years of data. 

Meeting content was organized around the following four objectives:

  • discussion of the final reprocessing of OMI data (called Collection 4) and of data preservation;
  • discussion of OMI data continuity and enhancements using TROPOMI measurements;
  • development of unique TROPOMI products [e.g., methane (CH4)], applications (e.g., tracking emissions – and using them as indicators of socioeconomic and military activities), and new focus regions (e.g., Africa); and
  • 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.

The remainder of this article summarizes the highlights from each day of the meeting.

OMIT-TROPOMI Science Team Meeting Group Photo
Photo. Group photo of the in-person participants at the OMI–TROPOMI Science Team meeting.
Photo credit: Shaun Bush/NCAR’s Atmospheric Chemistry Observations & Modeling

DAY ONE

The topics covered on the first day of the meeting included OMI instrument performance, calibration, final Collection 4 reprocessing, and plans for data preservation.

OMI and Data Products Update

Pieternel Levelt [Royal Netherlands Meteorological Institute (KNMI)—OMI Principal Investigator (PI) and NCAR’s Atmospheric Chemistry Observations & Modeling (ACOM) Laboratory—Director] began her presentation by dedicating the meeting to the memory of Johan de Vries, whose untimely death came as a shock to the OMI and TROPOMI teams – see In Memoriam: Johan de Vries for a celebration of his accomplishments and contributions to the OMI-TROPOMI team. She 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 Microwave Limb Sounder (MLS)]. OMI is the longest operating and stable ultraviolet–visible (UV-VIS) spectrometer. It continues to “age gracefully” 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.

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). Antje Ludewig [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 Joanna Joiner [NASA’s Goddard Space Flight Center (GSFC)]. Matthew Bandel [Science Systems and Applications, Inc. (SSAI)] described NASA’s new OMI monitoring tools.

Sergey Marchenko [SSAI] discussed OMI daily spectral solar irradiance (SSI) data, which are used for monitoring solar activity and can be compared with the dedicated Total and Spectral Solar Irradiance Sensor (TSIS-1) on the International Space Station. Continuation of OMI measurements will allow comparisons with the upcoming NASA TSIS-2 mission. Antje Inness [European Centre for Medium-range Weather Forecasts (ECMWF)] described operational assimilation of OMI and TROPOMI near-real time data into the European Copernicus Atmosphere Monitoring Service (CAMS) daily analysis/forecast and re-analysis – see Figure 1.

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In Memoriam: Johan de Vries

Johan de Vries In Memoriam Photo
Johan de Vries
June 10, 1956 – May 8, 2024

Johan de Vries [Airbus Netherlands—Senior Specialist Remote Sensing] passed away suddenly on May 8, 2024, after a distinguished career. As a member of the Ozone Monitoring Instrument (OMI)–TROPOspheric Monitoring Instrument (TROPOMI) program, Johan conceptualized the idea of using a two-dimensional (2D) charged couple detector (CCD) for the OMI imaging spectrometer. This “push-broom” 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 – in both low and geostationary orbits – that are either in orbit or planned for launch soon. This achievement ensures that Johan’s 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. 

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OMI–TROPOMI Figure 1
Figure 1. An example of TROPOMI pixel nitrogen dioxide (NO2) observations over Europe on September 8, 2018 [top] and the corresponding super observations [bottom] for a model grid of 0.5 x 0.5o. Cloudy locations are colored grey. 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 be used for combined OMI–TROPOMI gridded datasets.
Figure credit: reprinted from a 2024 paper posted on EGUSphere.

Updates on OMI and TROPOMI Level-2 Data Products

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.

Serena Di Pede [KNMI] discussed the latest algorithm updates to the Collection 4 OMI Total Column Ozone (O3) 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 O3 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.

Juseon “Sunny” Bak and Xiong Liu [both from Smithsonian Astrophysical Observatory (SAO)] gave updates on the status of the Collection 4 O3 profile products.

Lok Lamsal [GSFC/University of Maryland, Baltimore County (UMBC)] and Henk Eskes [KNMI] compared Collection 3 and Collection 4 of the nitrogen dioxide (NO2) products.  

Zolal Ayzpour [SAO] discussed the status of the OMI Collection 4 formaldehyde (HCHO) product.

Hyeong-Ahn Kwon [SAO] presented a poster that updated the Glyoxal product.

Omar Torres [GSFC] and Changwoo Ahn [GSFC/SSAI] presented regional trend analyses using the re-processed OMI Collection 4 absorbing aerosol product – see Figure 2.

OMI–TROPOMI Figure 2
Figure 2. 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°N–50°N, 110°W–128°W) [top] and over Eastern China (EC): 25°N–43°N, 112°E–124°E) [bottom]. 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 2005–2016 period. After 2017 much larger AOD maxima in the late summer are associated with wildfire smoke occurrence. Over EC (bottom) the 2005–2014 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.
Figure credit: Changwoo Ahn/GSFC/SSAI and Omar Torres/GSFC

Updates on EOS Synergy Products

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. These are described below.

Brad Fisher [SSAI] presented a poster on the Joint OMI–Moderate Resolution Imaging Spectroradiometer (MODIS) cloud products.

Wenhan Qin [GSFC/SSAI] presented a poster on the MODIS–OMI Geometry Dependent Lambertian Equivalent Surface Reflectivity (GLER) product.

Jerry Ziemke [GSFC and Morgan State University (MSU)] presented on the OMI–MLS Tropospheric Ozone product that showed post-COVID tropospheric O3 levels measured using this product, which are consistent with similar measurements obtained using other satellite O3 data – see Figure 3.

OMI–TROPOMI Figure 3
Figure 3. Anomaly maps of merged tropospheric column O3 (TCO) satellite data (Dobson Units) for spring–summer 2020–2023. In this context, an anomaly is defined as deseasonalized O3 data. The anomaly maps are derived by first calculating seasonal climatology maps for 2016–2019 (i.e., pre-COVID pandemic) and then subtracting these climatology maps from the entire data record. 
Note: The sensors used in this analysis include: the Ozone Mapping and Profiler Suite (OMPS)/ Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) and Cross-track Infrared Sounder (CrIS) on the Joint Polar Satellite System (JPSS) missions, which currently include the joint NASA–NOAA Suomi National Polar-orbiting Partnership (Suomi NPP), NOAA-20, and NOAA-21; the Earth Polychromatic Imaging Camera (EPIC)/MERRA-2 on 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 (FORLI), IASI/SOftware for Fast Retrievals of IASI Data (SOFRID), and IASI/Global Ozone Monitoring Experiment–2 (GOME2). IASI flies on the European MetOp-A, -B, and -C missions. The OMPS/MERRA-2 and EPIC/MERRA-2 products subtract coincident MERRA-2 stratospheric column O3 from total O3 to derive tropospheric column O3.
Figure credit: Jerry Ziemke/GSFC and Morgan State University (MSU) 

Updates on Multisatellite Climate Data Records

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.

Jenny Stavrakou [Koninklijk Belgisch Instituut voor Ruimte-Aeronomie, Royal Belgian Institute for Space Aeronomy (BIRA–IASB)], reported on work focusing on the OMI and TROPOMI HCHO CDR and Huan Yu [BIRA–IASB)] reported harmonized OMI and TROPOMI cloud height datasets based on improved O2-O2 absorption retrieval algorithm.

Lok Lamsal [GSFC/UMBC, Goddard Earth Sciences Technology and Research (GESTAR) II], Henk Eskes, and Pepijn Veefkind [KNMI] reported on the OMI and TROPOMI NO2 CDRs – see Figure 4

Si-Wan Kim [Yonsei University, South Korea] reported on OMI and TROPOMI long-term NO2 trends.

OMI–TROPOMI Figure 4
Figure 4. OMI nitrogen dioxide (NO2) time series bridging the first GOME mission (which flew on the European Remote Sensing Satellite–2 (ERS–2) from 1995–2011 with limited coverage after 2003) and measurements from the two currently operating missions – OMI (2004–present) and TROPOMI (2017–present) – offer consistent climate data records that allow for studying long-term changes. This example shows tropospheric NO2 column 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. The ERS-2 (GOME) had a morning equator crossing time (10:30 AM), while Aura (OMI) and Metop (TROPOMI) have afternoon equator crossing times of 1:45 PM and 1:30 PM respectively.
Figure credit: Lok Lamsal/GSFC/University of Maryland, Baltimore County (UMBC)

Update on Aura’s Drifting Orbit

Bryan Duncan [GSFC—Aura Project Scientist] closed out the first day with a presentation summarizing predictions of Aura’s drifting orbit. Overall, the impact of Aura’s 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–2026.

DAY TWO

The second day of the meeting focused on current and upcoming LEO and GEO Atmospheric Composition (AC) missions.

TROPOMI Mission and Data Product Updates

Veefkind presented an update on the TROPOMI mission, which provides continuation and enhancements for all OMI products. Tobias Borssdorf [Stichting Ruimte Onderzoek Nederland (SRON), or Netherlands Institute for Space Research] explained how TROPOMI, with its innovative shortwave infrared (SWIR) spectrometer, measures CH4 and carbon monoxide (CO). This approach continues measurements that began by the Measurements of Pollution in the Troposphere (MOPITT) instrument on Terra.

Hiren Jethva [NASA Airborne Science Program] and Torres presented new TROPOMI near-UV aerosol productsincluding a new aerosol layer optical centroid height product, which takes advantage of the TROPOMI extended spectral range – see Figure 5.

OMI–TROPOMI Figure 5
Figure 5. Global gridded (0.10° x 0.10°) composite map of aerosol layer optical centroid height (AH) retrieved from TROPOMI O2-B band observations from May–September 2023.
Figure credit: Hiren Jethva/NASA Airborne Science Program

GEMS–TEMPO–Sentinel-4 (UVN): A Geostationary Air Quality Constellation

TROPOMI global observations serve as a de facto calibration 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. Jhoon Kim [Yonsei University—PI] discussed the Geostationary Environmental Monitoring Spectrometer (GEMS), launched on February 19, 2020 aboard the Republic of Korea’s GEO-KOMPSAT-2B satellite. It is making GEO AC measurements over Asia. The GEMS team is working on validating measurements of NOdiurnal variations using ground-based measurements from the PANDORA Global Network over Asia and aircraft measurements from the ASIA–AQ field campaign.

Liu discussed NASA’s Tropospheric Emission Monitoring of Pollution (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.

Gonzales Abad [SAO] presented the first measurements from TEMPO. He explained that TEMPO’s design is similar to GEMS, but GEMS includes an additional visible and near infrared (VNIR) spectral channel (540–740 nm) to measure tropospheric O3, O2, and water vapor (H2Ov). TEMPO can perform optimized morning scans, twilight scans, and scans with high temporal resolution (5–10 minutes) over selected regions. Abad reported that the TEMPO team released L1B spectra and the first provisional public L2 products (Version 3), including NO2, HCHO, and total column O3Andrew Rollins [National Oceanic and Atmospheric Administration’s (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 AGES+ website.

Ben Veihelmann [ESA’s European Space Research and Technology Center—PI] explained that ESA’s Copernicus Sentinel-4 mission will be the final member of the GEO AC constellation. Veefkind summarized the Sentinel-4 mission, which is expected to launch on the Meteosat Third Generation (MTG)-Sounder 1 (MTG-S1) platform in 2025. The mission is dedicated to measuring air quality and O3 over Europe and parts of the Atlantic and North Africa. Sentinel-4 will deploy the first operational UV-Vis-NIR (UVN) imaging spectrometer on a geostationary satellite. (Airbus will build UVN, with 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 European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) will operate Sentinel-4, and the Deutsches Zentrum für Luft- und Raumfahrt (DLR) or German Aerospace Center will be responsible for operational L2 processing.

These three GEO AC missions, along with the upcoming ESA/EUMETSAT/Copernicus LEO (morning orbit, 9:30 a.m.) Sentinel-5 (S5) mission, will complete a LEO–GEO 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–TROPOMI data record in the early afternoon; however, it will be placed in the morning orbit and follow ESA’s Global Ozone Monitoring Experiment (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.

Synergy with Other Current or Upcoming Missions

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 – which are important for air quality (AQ) monitoring – and long-lived GHG – which are important for climate monitoring and carbon cycle assessments. Some trace gases (e.g., O3 and CH4) are both polluters and GHG agents. Others [e.g., NO2 and sulfur dioxide (SO)] are aerosol [particulate matter (PM)] and O3 precursors and are used as proxies and spatial indicators for anthropogenic CO2 and CH4 emissions.

Yasjka Meijer [ESA—Copernicus Anthropogenic Carbon Dioxide Monitoring (CO2M) Mission Scientist]) reviewed the plans for CO2M, which includes high-resolution measurements [~4 km(~1.5 mi2)] of CO, CH, and NO2.

Jochen Landgraf [SRON] described ESA’s new Twin Anthropogenic Greenhouse Gas Observers (TANGO) mission, which has the objective to measure CO, CH, and NO2 at even higher spatial resolution [~300 m (~984 ft)] using two small CubeSat spectrometers flying in formation.

Hiroshi Tanimoto [National Institute for Environmental Studies, Japan] described the Japan Aerospace Exploration Agency’s (JAXA) Global Observing SATellite for greenhouse gases and water cycle (GOSAT-GW) mission, which includes the Total Anthropogenic and Natural Emission mapping SpectrOmeter (TANSO-3) spectrometer to simultaneously measure CO, CH4, and NO2 with ~1–3 km (~0.6–1.8 mi) spatial resolution in focus mode. GOSAT-GW will also fly the Advanced Microwave Scanning Radiometer 3 (AMSR3).

Joanna Joiner [GSFC—Geostationary Extended Operations (GeoXO) Project Scientist and ACX Instrument Scientist] 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. (By contrast, the current Geostationary Operational Environmental Satellite (GOES) series has two satellites: GOES–East and GOES–West.) GEO-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 BAE Systems, which acquired Ball Aerospace and Technology, and will also build the GeoXO ocean color spectrometer (OCX).

Andrew Sayer [UMBC] described NASA’s Plankton, Aerosols, Clouds, and ocean Ecosystem (PACE), which launched on February 8, 2024. The PACE payload includes a high-spatial resolution [~1 km (~0.6 mi) at nadir] Ocean Color Instrument (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 “first light” aerosol data processed using the unified retrieval algorithm developed by Lorraine Remer [UMBC].

The second day concluded with a joint crossover session with NASA’s Health and Air Quality Applied Sciences Team (HAQAST) followed by a poster session. Several OMI–TROPOMI 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. Duncan, who is also a member of HAQAST team, presented “20 years of health and air quality applications enabled by OMI data.” He highlighted OMI contributions to AQ and health applications, including NO2 trend monitoring, inferring trends of co-emitted species [e.g., CO2, CO, some Volatile Organic Compounds (VOCs)], validation of new satellite missions (e.g., TEMPO, PACE), and burden of disease studies.

DAY THREE

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 CH4 data and synergy with small satellites.

Advanced Retrieval Algorithms and New Data Products

Ilse Aben [SRON] described TROPOMI global detection of CH4 super-emitters using an automated system based on Machine Learning (ML) techniques – see Figure 6. Berend Schuit [SRON] provided additional detail on these methods. He introduced the TROPOMI CH4 web site to the meeting participants. He explained how TROPOMI global CH4 measurements use “tip-and-cue” dedicated satellites with much higher spatial resolution instruments [e.g., GHGSat with ~25-m (~82-ft) resolution] to scan for individual sources and estimate emission rates. Most CH4 super-emitters are related to urban areas and/or landfills, followed by plumes from gas and oil industries and coal mines.

OMI–TROPOMI Figure 6
Figure 6. Methane plume map produced by SRON shows TROPOMI large CH4 emission plumes for the week of the OMI–TROPOMI meeting (June 3–6, 2024).
Figure credit: Itse Aben/Stichting Ruimte Onderzoek Nederland (SRON)

Alba Lorente [Environmental Defense Fund—Methane Scientist] introduced a new MethaneSAT satellite launched in March 2024, which aims to fill the gap in understanding CH4 emissions on a regional scale [200 x 200 km2 (~77 x 77 mi2)] from at least 80% of global oil and gas production, agriculture, and urban regions. Alex Bradley [University of Colorado, Boulder] described improvements to TROPOMI CH4 retrievals that were achieved by correcting seasonal effects of changing surface albedo.

Daniel Jacob [Harvard University] presented several topics, including the highest resolution [~30 m (~98 ft)] NO2 plume retrievals from Landsat-8 – see Figure 7 – and Sentinel-2 imagers. He also discussed using a ML technique trained with TROPOMI data to improve NO2 retrievals from GEMS and modeling NO2 diurnal cycle and emission estimates. He introduced the ratio of ammonia (NH3) to NO2 (NH3/NO2) as an indicator of particulate matter with diameters less than 2.5 µm (PM2.5) nitrate sensitivity regime. Jacob emphasized the challenges related to satellite NO2 retrievals (e.g., accounting for a free-tropospheric NO2 background and aerosols).

OMI–TROPOMI Figure 7
Figure 7. Landsat Optical Land Imager (OLI) image, obtained on October 17, 2021 over Saudi Arabia, shows power plant exhaust, which contains nitrogen dioxide (NO2) drifting downwind from the sources (the two green circles are the stacks). The ultra-blue channel (430–450 nm) on OLI enables quantitative detection of NO2 in plumes from large point sources at 30-m (~98-ft) resolution. This provides a unique ability for monitoring point-source emissions of oxides of nitrogen (NOx). The two stacks in the image are separated by 2 km (~1.2 mi).
Figure credit: Daniel Jacob – repurposed from a 2024 publication in Proceedings of the National Academies of Sciences (PNAS)

Steffen Beirle [Max Planck Institute for Chemistry, Germany] explained his work to fit TROPOMI NO2 column measurements to investigate nitric oxide (NO) to NO2 processing in power plant plumes. Debra Griffin [Environment and Climate Change Canada (ECCC)] used TROPOMI NOobservations and ML random forest technique to estimate NO2 surface concentrations. Sara Martinez-Alonso [NCAR] investigated geographical and seasonal variations in NO2 diurnal cycle using GEMS and TEMPO data.  Ziemkecombined satellite O3 data to confirm a persistent low anomaly (~5–15%) in tropospheric O3 after 2020.  Jethva presented advanced OMI and TROPOMI absorbing aerosol products. Yu described improved OMI and TROPOMI cloud datasets using the O2-O2 absorption band at 477 nm. Nicholas Parazoo [Jet Propulsion Laboratory (JPL)] described TROPOMI Fraunhofer line retrievals of red solar-induced chlorophyll fluorescence (SIF) near O2-B band (663–685 nm) to improve mapping of ocean primary productivity. Liyin He [Duke University] described using satellite terrestrial SIF data to study the effect of particulate pollution on ecosystem productivity.

New Applications

Zachary Fasnacht [SSAI] used OMI and TROPOMI spectra to train a neural network to gap-fill MODIS and Visible Infrared Imaging Radiometer Suite (VIIRS) ocean color data under aerosol, sun glint, and partly cloudy conditions. This ML method can also be applied to PACE OCI spectra. Anu-Maija Sundström [Finnish Meteorological Institute (FMI)] used OMI and TROPOMI SO2 and Odata as proxies to study new particle formation events. Lindsey Anderson [University of Colorado, Boulder] described how she used TROPOMI NO2 and CO measurements to estimate the composition of wildfire emissions and their effect on forecasted air quality. Heesung Chong [SAO] applied OMI bromine oxide (BrO) retrievals to the NOAA operational Ozone Mapping and Profiling Suite Nadir Mapper (OMPS-NM) on joint NOAA–NASA Suomi-National Polar-orbiting Partnership (Suomi NPP) satellite with the possibility to continue afternoon measurements using similar OMPS-NM instruments on the four Joint Polar Satellite System missions (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.)

Kim demonstrated the potential for using satellite NO2 and SO2 emissions 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. (Brad Fisher [SSAI] presented a poster on a similar topic.)

Cathy Clerbaux [Center National d’Études Spatiale (CNES), or French Space Agency] showed how her team used TROPOMI NOdata 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. Iolanda Ialongo [FMI] showed a similar drop of NO2 emissions over Donetsk region due to the war in Ukraine. Levelt showed how OMI and TROPOMI NOdata are used for capacity-building projects and for air quality reporting in Africa. She also advocated for additional geostationary AQ measurements over Africa.

DAY FOUR

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.  

Assimilating Satellite Data into Models for Emissions

Brian McDonald [CSL] described advance chemical data assimilation of satellite data for emission inversions and the GReenhouse gas And Air Pollutants Emissions System (GRA2PES). He showed examples of assimilations using TROPOMI and TEMPO NO2 observations to adjust a priori emissions. He also showed that when TEMPO data are assimilated, NOx emissions adjust faster and tend to perform better at the urban scale. Adrian Jost [Max Planck Institute for Chemistry] described the ESA-funded World Emission project to improve pollutant and GHG emission inventories using satellite data. He showed examples of TROPOMI SO2 emissions from large-point sources and compared the data with bottom-up and NASA SO2 emissions catalogue.

Ivar van der Velde [SRON] presented a method to evaluate fire emissions using new satellite imagery of burned area and TROPOMI CO. Helene Peiro [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. Barbara Dix [University of Colorado, Boulder, Cooperative Institute for Research in Environmental Sciences] derived NOx emissions from U.S. oil and natural gas production using TROPOMI NO2 data and flux divergence method. She estimated TROPOMI CH4 emissions from Denver–Julesburg oil and natural gas production. Dix explained that the remaining challenge is to separate oil and gas emissions from other co-located CH4 sources. Ben Gaubert [NCAR, Atmospheric Chemistry Observations and Modeling] described nonlinear and non-Gaussian ensemble assimilation of MOPITT CO using the data assimilation research testbed (DART).

Andrew (Drew) Rollings [CSL] presented first TEMPO validation results from airborne field campaigns in 2023 (AGES+ ), including NOAA CSL Atmospheric Emissions and Reactions observed from Megacities to Marine Aeras (AEROMMA) and NASA’s Synergistic TEMPO Air Quality Science (STAQS) campaigns.

A Reflection on Twenty Years of OMI Observations

Levelt gave 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’s payload when 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 “Celebrating Ten Years of OMI Observations,” The Earth Observer, May–Jun 2014, 26:3, 23–30), and the OMI ST receiving the NASA/U.S. Geological Survey Pecora award in 2018 and the American Meteorological Society’s Special award in 2021.

Levelt pointed out that in this combined OMI–TROPOMI meeting the movement towards using air pollution and GHG data together became apparent. She ended by saying that the OMI instrument continues to “age gracefully” and its legacy continues with the TROPOMI and LEO–GEO atmospheric composition constellation of satellites that were discussed during the meeting.

Conclusion

Overall, the second OMI–TROPOMI STM acknowledged OMI’s pioneering role and TROPOMI’s unique enhancements in measurements of atmospheric composition: 

  1. Ozone Layer Monitoring: Over the past two decades, OMI has provided invaluable data on the concentration and distribution of O3 in the Earth’s stratosphere. This data has been crucial for understanding and monitoring the recovery of the O3 layer following international agreements, such as the Montreal Protocol.
  2. Air Quality Assessment: OMI’s high-resolution measurements of air pollutants, such as NO2, SO2, 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.
  3. Climate Research: The data collected by OMI has 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.
  4. Global Impact: The OMI instrument has provided near-daily global coverage of atmospheric data, which has been essential for scientists and policymakers worldwide. The comprehensive and reliable data from OMI has supported countless research projects and informed decisions aimed at protecting and improving our environment.

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 OMI and TROPOMI instruments is a testament to the collaboration, expertise, and dedication of both teams.

Nickolay Krotkov
NASA’s Goddard Space Flight Center
Nickolay.a.krotkov@nasa.gov

Pieternel Levelt
National Center for Atmospheric Research, Atmospheric Chemistry Observations & Modeling
levelt@ucar.edu

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      Summary of the 11th ABoVE Science Team Meeting
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      Photo 2. Scott Goetz [University of Northern Arizona—ABoVE Science Team Lead] poses with ABoVE BINGO winner Wanwan Liang [University of Utah]. Photo credit: Wanwan Liang Meeting Opening
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      Vegetation Dynamics Working Group
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      Hydrology-Permafrost-Wetlands Working Group
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      Success Stories
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      Success Story 2: Collaborations with Scotty Creek Research Station (SCRS)
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      Success Story 3: Science Communication
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      Success Story 4: Engagement Activities
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      ABoVE Phase 3 Project Presentations
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      Table 1. An overview ofABoVE Phase 3 projects and presenters. The Project name includes the last name of the Principal Investigator, NASA funding program (TE for Terrestrial Ecology), the year of the NASA solicitation funding the research, and provides a hyperlink to the Project Profile. A hyperlink to each presentation is provided as either PowerPoint (PPT) file or PDF.
      Project   Carbon Presenter(s) Bloom (TE 2021): Using CO2, CH4 and land-surface constraints to resolve sign and magnitude of northern high latitude carbon-climate feedbacks [PDF] Eren Bilir [NASA/Jet Propulsion Laboratory (JPL)]; Principal Investigator (PI): Alexis (Anthony) Bloom [NASA/Jet Propulsion Laboratory (JPL)] Butman (TE 2021): Do changing terrestrial-aquatic interfaces in Arctic-boreal landscapes control the form, processing, and fluxes of carbon? [PPT] David Butman [University of Washington] – see Figure 1 Watts (TE 2021): Contributions of tundra and boreal systems to radiative forcing in North America and Russia under contemporary and future conditions [PPT] Jennifer Watts [Woodwell Climate Research Center] Miller-S (TE 2021): A synthesis and reconciliation of greenhouse gas flux estimates across the ABoVE domain [PDF] Scot Miller [Johns Hopkins University] Michalak (TE 2021): Quantifying climate sensitivities of photosynthesis and respiration in Arctic and boreal ecosystems from top-down observational constraints [PDF] Wu Sun and Jiaming Wen [both Carnegie Institution for Science, CI]; PI: Anna Michalak, [Carnegie Institution for Science] Fire Presenter(s) Bourgeau-Chavez (TE 2021): Integrating remote sensing and modeling to better understand the vulnerability of boreal-taiga ecosystems to wildfire [PPT] Laura Bourgeau-Chavez [Michigan Technological University (MTU)] Walker (TE 2021): Drivers and Impacts of Reburning in boreal forest Ecosystems (DIRE) [PDF] Jeremy Forsythe [Northern Arizona University (NAU)]; PI: Xanthe Walker [NAU] Wang (TE 2021): Quantifying disturbance and global change impacts on multi-decadal trends in aboveground biomass and land cover across Arctic-boreal North America [PPT] Jonathan Wang [University of Utah]– see Figure 2  Wildlife Presenter(s) Boelman (TE 2021): The future of the Forest-Tundra Ecotone: A synthesis that adds interactions among snow, vegetation, and wildlife to the equation [PPT] Natalie Boelman [Lamont-Doherty Earth Observatory, Columbia University] French (TE 2021): Informing wetland policy and management for waterfowl habitat and other ecosystem services using multi-frequency synthetic aperture radar [PPT] Nancy French [MTU] – see Figure 3 Hydrology / Permafrost Presenter(s) Du (TE 2021): High resolution mapping of surface soil freeze thaw status and active layer thickness for improving the understanding of permafrost dynamics and vulnerability [PPT] Jinyang Du [University of Montana] Miller (TE 2021): Enhanced methane emissions in transitional permafrost environments: An ABoVE phase 3 synthesis investigation [PPT] Charles “Chip” Miller [NASA/JPL] Tape (TE 2021): Characterizing a widespread disturbance regime in the ABoVE domain: Beaver engineering [PPT] Kenneth Tape [University of Alaska, Fairbanks] Zhuang (TE 2021): Role of linked hydrological, permafrost, ground ice, and land cover changes in regional carbon balance across boreal and Arctic landscapes [PDF] Qianlai Zhuang [Purdue University]  Vegetation Structure Presenter(s) Duncanson (TE 2021): Mapping boreal forest biomass recovery rates across gradients of vegetation structure and environmental change [PPT] Paul Montesano [GSFC/ADNET Systems Inc]; PI: Laura Duncanson [University of Maryland]—see Figure 4 Lara (TE 2021): ABoVE-Ground characterization of plant species succession in retrogressive thaw slumps using imaging spectroscopy [PPT] Mark Lara [University of Illinois, Urbana-Champaign]  Vegetation Dynamics  Presenter(s) Frost (TE 2021): Towards a warmer, less frozen future Arctic: Synthesis of drivers, ecosystem responses, and elder observations along bioclimatic gradients in western Alaska [PPT] Gerald “J.J.” Frost [ABR] Goetz (TE 2021): Mapping and modeling attributes of an Arctic-boreal biome shift: Phase-3 applications within the ABoVE domain [PPT] Scott Goetz [NAU] Liu (TE 2021): Characterizing Arctic-boreal vegetation resilience under climate change and disturbances [PPT] Yanlan Liu [The Ohio State University] Townsend (TE 2021): Functional diversity as a driver of gross primary productivity variation across the ABoVE domain [PPT] Philip Townsend [University of Wisconsin] Determining Aboveground Biomass Density Using ICESat-2 Data and Modeling
      Figure 1. Despite their relatively small coverage, surface water extent across boreal and arctic lowlands significantly impacts landscape-scale estimates of carbon emissions. The red points on the map in the figure indicates locations of available lake chemistry data derived from ABoVE-supported research, from collaborators, and from a preliminary literature search. Figure credit. David Butman Figure 2. The Arctic-boreal carbon cycle is inextricably linked to vegetation composition and demography, both of which are being altered by climate change, rising levels of atmospheric carbon dioxide, and climate-induced changes in disturbance regimes. The map in the figure shows above-ground biomass (AGB) change across Arctic-boreal North America (2022–1984) created using a machine learning model of AGB trained on from more than 45,000 field plots and 200,000 km2 of airborne lidar data. Figure credit:  Wanwan Liang Figure 3.  Wetlands provide many ecosystem services, including waterfowl habitat, carbon sequestration, and water quality. Northern wetlands Iin the ABovE study area) are threatened from both land use expansion and climate change disruptions, prompting the need for informed management strategies.  Copernicus Sentinel 1 synthetic aperture radar (SAR) data have been used to create this map of flooding (hydroperiod) in wetland areas around the Great Slave Lake in Canada  The color code on the map corresponds to the number of times the SAR imagery indicated a place was flooded (inundated). Such information is helpful for predicting within-season changes in wetland extent. Figure credit: Nancy French Figure 4. Advances have been made in mapping aboveground biomass density (AGBD). Shown here as an example is an AGBD map created using stata from the   ICESat-2 pan-Boreal 30-m (98-ft) tree height and biomass data product [left] and the ensemble mean of the standard deviation of AGBD, aggregated to modelling tiles [right]. Current research aims to expand these maps and understand regional vegetation changes.  Figure credit. Laura Duncanson/data from ORNL DAAC ASTM11 Poster Sessions
      ASTM11 featured 41 research posters across three sessions, organized by thematic area – see Table 3 and Photo 3. The Poster Session agenda details the range of topics that spanned airborne synthetic aperture radar (SAR) and satellite imagery to northern ecosystem fieldwork. Key research topics that emerged included CO2 and CH4 emissions from terrestrial and aquatic systems, ongoing permafrost thaw, fire impacts on carbon cycling, vegetation mapping and biomass estimation, and the impacts of wildlife on the landscape.
      Table 2. A breakdown of ASTM11 poster presentations by science theme.
      Poster Theme Poster Count Carbon Dynamics 5 Crosscutting, Modeling, or Other 6 Fire Disturbance 5 Permafrost, Hydrology, and Wetlands 13 Vegetation Dynamics and Distribution 7 Vegetation Structure and Function 4 Wildlife and Ecosystem Services 1 Photo 3. Poster presentations and sessions during ASTM11 offered opportunities for presenters to share their latest research findings with meeting participants. Photo credit: Elizabeth Hoy ABoVE Field Trips
      ASTM11 offered multiple field trip options across the Fairbanks region of Alaska. The fieldtrips provided ST members an opportunity to interact with the research community – see Photo 4.
      Trip to Alaska Satellite Facility (ASF) and Geophysical Institute
      ASF is a data archive for many SAR datasets from a variety of sensors and has multiple ground station facilities. During the tour, participants visited the ASF operations room and ASF rooftop antenna. The Geophysical Institute tour also featured the Alaska Earthquake Center, Wilson Alaska Technical Center, and Alaska Center for Unmanned Aircraft Systems Integration.
      Trip to Cold Regions Research and Engineering Laboratory (CRREL) Permafrost Tunnel
      The U.S. Army Core of Engineers CRREL Permafrost Tunnel is located in Fox, AK – about 15 km (9 mi) north of Fairbanks. Over 300 m (984 ft) of tunnel have been excavated, exposing Pleistocene ice and carbon-rich yedoma permafrost that ranges in age from 18,000 to 43,000 years old. The tunnel exposes mammoth and bison bones and a variety of permafrost soils. Ongoing projects in the tunnel cover a range of topics, including engineering and geophysical work, Mars analog studies, and biogeochemistry and microbiology of permafrost soils.
      Wildfire Walk: Yankovich Road Fire Interpretive Trail
      On July 11, 2021, a wildfire burned 3.5 acres (14,164 m2) of UAF land. In 2024, the UAF Alaska Fire Science Consortium, Bureau of Land Management Alaska Fire Service, and local artist Klara Maisch collaborated with others to develop the Wildfire Walk at the site. The interpretive trail is an outdoor learning experience with interpretive wayside markers that describe the fire incident, the relationship between wildfire and the boreal forest, fire science and environmental change, and wildfire prevention – see Figure 1.
      UAF Arctic Research Open House
      The UAF Arctic Research Open House was an opportunity for ST members and the public to explore the wide range of research happening at UAF and meet other scientists. ABoVE hosted an information table at the event.
      Photo 4: Collage of images collected during a series of field trips, including [top] the Wildfire Walk along the Alaska Fire Science Consortium, [middle] the Permafrost Tunnel with Tom Douglas [Cold Regions Research and Engineering Laboratory], [bottom left] UAF Arctic Open House ABoVE Table with Margaret “Maggie” Wooton [NASA’s Goddard Space Flight Center (GSFC)/Science System and Applications, Inc. (GSFC/SSAI)], Elizabeth Hoy [GSFC/Global Science & Technology Inc.], and Qiang Zhou [GSFC/SSAI], talking with Logan Berner [Northern Arizona University], [bottom right] the Alaska Satellite Facility ground receiving antenna. Photo credit: Elizabeth Hoy Research Connections
      The success of ABoVE as a large-scale research study over the Arctic and boreal regions within and outside the United States depended on collaboration with multiple organizations. Many of the ABoVE collaborators were able to present at ASTM11.
      Andrew Applejohn [Polar Knowledge Canada (POLAR)] provided details about the scope, mandate, and facilities available through POLAR, a Canadian government agency that has partnered with the ABoVE ST for the duration of the campaign.
      Ryan Connon [Government of the Northwest Territories (GNWT)] discussed the decade-long collaboration between ABoVE and the GNWT, including knowledge sharing of wildlife collar data, field-data ground measurements, and remote sensing analyses.
      Gabrielle Gascon [Canadian Forest Service (CFS), Natural Resources Canada] explained the scope of Canada’s National Forest Inventory and the current CFS focus on wildfire and the CFS’s other areas of research related to the northern regions. Another presentation featured information about various vegetation mapping initiatives where Matthew Macander discussed an Alaska-based effort called AKVEG Map, a vegetation plot database, and Logan Berner [NAU] detailed a pan-Arctic plant aboveground biomass synthesis dataset.
      Brendan Rogers [WCRC] showcased research from Permafrost Pathways, designed to bring together permafrost-related science experts with local communities to inform Arctic policy and develop adaptation and mitigation strategies to address permafrost thaw. NGEE-Arctic is another U.S. government effort that partnered specifically with ABoVE for the duration of the two efforts, and Bob Bolton [Oak Ridge National Laboratory (ORNL)] provided updates on the project.
      Tomoko Tanabe [Japan’s National Institute of Polar Research (JNIPR)] gave a presentation about NIPR to better inform ABoVE scientists about other international Arctic efforts, including a new Japanese Arctic research initiative called the Arctic Challenge for Sustainability III (ArCS III), designed to address social issues related to environmental and social changes in the Arctic.
      Additional Presentations
      An additional presentation aimed to keep the ABoVE ST informed of future NASA Arctic research efforts. Kelsey Bisson [NASA HQ—Program Scientist for the Ocean Biology and Biogeochemistry Program] discussed NASA Arctic-COLORS and Maria Tzortziou [City University of New York/Columbia University, LDEO] discussed the FORTE EVS campaign. The proposed Arctic-COLORS field campaign would quantify the biogeochemical and ecological response of Arctic nearshore systems to rapid changes in terrestrial fluxes and ice conditions. The NASA FORTE EVS campaign will fill a critical gap in understanding Alaska’s northernmost ecosystems by investigating eroding coastlines, rivers, deltas, and estuaries that connect land and sea systems, using airborne platforms.
      Scott Goetz continued with a presentation on U.S. efforts to plan the International Polar Year, scheduled for 2032–2033. Ryan Pavlick provided details on the NISAR mission, which launched after the meeting on July 30, 2025, and discussed other possible future NASA missions.
      A Career Trajectory panel featured Jennifer Watts, Jonathan Wang, Brendan Rogers, and Xiaoran “Seamore” Zhu [Boston University]. The panelists discussed opportunities for researchers from different academic backgrounds and at different career stages, and they provided details about how ABoVE has impacted their careers. They also discussed how NASA campaigns offer opportunities for early career scientists to join a team of peers to grow their abilities throughout the duration of the decade-long research.
      Klara Maisch, a local artist, discussed her work creating science-informed artwork through interdisciplinary collaborations with scientists and other creators – see Figure 5. Maisch described the benefits of partnering with artists to share science with a broad audience and showcased artwork she has created.
      Figure 5. Lower Tanana Homelands – 2022 Yankovich Fire – Plot Painting [left], with original plot reference photograph [right]. Image Credit: Klara Maisch Overarching Presentations
      A series of presentations on the overall structure and outcomes of ABoVE were held during ASTM11. Charles “Chip” Miller [NASA/JPL—Deputy ABoVE ST Lead, ABoVE Airborne Lead] provided details about SAR, hyperspectral, and lidar airborne measurements collected between 2017 and 2024 for the ABoVE Airborne Campaign.
      ABoVE Logistics Office members Daniel Hodkinson [GSFC/SSAI], Sarah Dutton [GSFC/SSAI], and Leanne Kendig [GSFC/Global Science & Technology, Inc. (GST, Inc.)] discussed the many field teams and activities supported during ABoVE. Overall, more than 50 teams were trained in field safety topics, with more than 1,200 training certificates awarded. Elizabeth Hoy [NASA GSFC/GST, Inc.] and Debjani Singh [ORNL] discussed the more than 250 data products developed during the ABoVE program and how to access them through NASA Earthdata. Example visualizations of ABoVE data products can be found in Figure 6.
      Figure 6. ABoVE logo created with different data products from the campaign used to compose each letter.A: Active Layer Thickness from Remote Sensing Permafrost Model, Alaska, 2001-2015;. Tree (inside A): Normalized Difference Vegetation Index (NDVI) Trends across Alaska and Canada from Landsat, 1984-2012;. B: Landsat-derived Annual Dominant Land Cover Across ABoVE Core Domain, 1984-2014;; O: Wildfire Carbon Emissions and Burned Plot Characteristics, NWT, CA, 2014-2016;; V: AVHRR-Derived Forest Fire Burned Area-Hot Spots, Alaska and Canada, 1989-2000;; E: Lake Bathymetry Maps derived from Landsat and Random Forest Modeling, North Slope, AK; and Underline (under O): Plot lines from the ABoVE Planning Tool visualizer. Figure credit: Caitlin LaNeve The Collaborations and Engagement WG held a plenary discussion to highlight the many activities that ABoVE researchers have been involved in over the past decade. The discussion highlighted the need for individual projects and campaign leadership to work together to ensure participation and understanding of planned research at local and regional levels.
      A highlight of the meeting was the “Legacy of ABoVE” panel discussion moderated by Nancy French [MTU]. Panelists included Eric Kasischke [MTU], Scott Goetz, Chip Miller, Peter Griffith, Libby Larson [NASA GSFC/SSAI], and Elizabeth Hoy. Each panelist reflected on their journey to develop ABoVE, which included an initial scoping study developed more than 15 years ago. Members of the panel – all a part of the ABoVE leadership team – joined the campaign at different stages of their career. Each panelist arrived with different backgrounds, bringing their unique perspective to the group that helped to frame the overall campaign development. Following the panel, all ST members who have been a part of ABoVE since its start over a decade ago came to the front for a group photo – see Photo 5.
      Following the panel, the ABoVE ST leads presented their overall thoughts on the meeting and facilitated a discussion with all participants at the meeting. Participants noted the important scientific discoveries made during ABoVE and enjoyed the collegial atmosphere during ASTM11.
      Photo 5. A group photo of participants who have been with ABoVE since its inception: [left to right] Ryan Pavlick, Chip Miller, Elizabeth Hoy, Libby Larson, Peter Griffith, Fred Huemmrich, Nancy French, Scott Goetz, Laura Bourgeau-Chavez, Eric Kasischke, and Larry Hinzman. Photo credit: Peter Griffith Conclusion 
      Overall, ASTM11 brought together an interdisciplinary team for a final team meeting that showcased the many accomplishments made over the past decade. The group outlined current gaps and needs in Arctic and boreal research and discussed possibilities for future NASA terrestrial ecology campaigns. The synthesis science presentations at ASTM11 highlighted the advances ABoVE has made in understanding carbon and ecosystem dynamics in Arctic and boreal regions. It also highlighted the need for further study of cold season and subsurface processes. While this was the last meeting of this ST, research for some projects will continue into 2026, and more publications and data products are expected from ST members in the near term.
      Elizabeth Hoy
      NASA’s Goddard Space Flight Center/Global Science & Technology Inc. (GSFC/GST,Inc.)
      elizabeth.hoy@nasa.gov
      Libby Larson
      NASA’s Goddard Space Flight Center/Science System and Applications, Inc. (GSFC/SSAI)
      libby.larson@nasa.gov
      Annabelle Sokolowski
      NASA GSFC Office of STEM Engagement (OSTEM) Intern
      Caitlin LaNeve
      NASA GSFC Office of STEM Engagement (OSTEM) Intern
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