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SARP West 2024 Terrestrial Ecology Group


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Preparations for Next Moonwalk Simulations Underway (and Underwater)

A group of eight people. the first seven college age and the last one a professor, stand in a line in professional attire. Behind them is a glass building with glass doors, reflecting green trees.
The Terrestrial Ecology group, from the 2024 Student Airborne Research Program (SARP) West Coast cohort, poses in front of the natural sciences building at UC Irvine, during their final presentations on August 12, 2024.
NASA Ames/Milan Loiacono

Faculty Advisor: Dr. Dan Sousa, San Diego State University

Graduate Mentor: Megan Ward-Baranyay, San Diego State University

Megan Ward-Baranyay, Graduate Mentor

Megan Ward Baranyay, graduate student mentor for the 2024 SARP West Land group, provides an introduction for each of the group members and shares behind-the scenes moments from the internship.

Gerrit Hoving

Predicting Ammonia Plume Presence at Feedlots in the San Joaquin Valley from VSWIR Spectroscopy of the Land Surface

Gerrit Hoving, Carleton College

Industrial-scale livestock farms, or Concentrated Animal Feeding Operations (CAFOs), are a major source of air pollutants including ammonia, methane, and hydrogen sulfide. Ammonia in particular is a major contributor to rural air pollution that is released from the breakdown of livestock effluent. Mitigating regional air pollution through improved waste management practices is only possible if emissions can be accurately monitored. However, ammonia is challenging to measure directly due to its short atmospheric lifetime and lack of VSWIR spectral signature. Here we investigate the potential for spectroscopic

imaging of the CAFO land surface to predict the presence of detectable ammonia emissions. Data from the Hyperspectral Thermal Emission Spectrometer (HyTES) instrument were found to clearly identify plumes of ammonia emitted by specific feedlots. Plume presence or absence was then tied to pixel-level reflectance spectra from the Earth Surface Mineral Dust Source (EMIT) instrument. Random forest classification models were found to predict ammonia plume presence/absence from VSWIR reflectance alone with an accuracy in the range of 70% to 80%. Our conclusions are limited by the limited number of

feedlots overflown by HyTES (n=96), the time gap between HyTES and EMIT data, and potential difficulty in comparing feedlots in different regions. While only tested over a modest area, our results suggest that ammonia plume presence/absence may be

predictable on the basis of surface features identifiable from VSWIR reflectance alone. Further investigation could focus on more comprehensive model validation, including characterization of the land surface processes and spectral signatures associated with feedlot surfaces with and without observable ammonia plumes. If generalizable, these results suggest that EMIT data may in some circumstances be used to predict the presence of ammonia emission plumes at feedlots in other areas, potentially enabling broader accounting of feedlot ammonia emissions.

Benjamin Marshburn

Burn to Bloom: Assessing the Impact of Coastal Wildfires on Phytoplankton Dynamics in California

Benjamin Marshburn, California Polytechnic State University- San Luis Obispo

California is experiencing rising temperatures as well as increased frequency and length of drought conditions due to anthropogenic climate change. Wildfires are an intrinsic component of California and its Mediterranean ecosystems. However, this change in natural wildfire behavior increases the risk to ecosystems including soil erosion, poor plant regrowth, and ash/nutrient runoff that leads to the ocean. Previous work has attributed phytoplankton blooms in the coastal ocean to runoff from wildfires. This study aims to quantify the extent to which the concentration of chlorophyll-a, an indicator of phytoplankton abundance, can be predicted by wildfire parameters in coastal California and to evaluate which parameters are the most important predictors. Due to climatic variation in California we split the coast into three regions, northern, central and southern, and analyzed three fires from each area. For each fire, the stream length connecting the most severely burned area and the ocean was derived from analysis of a digital elevation model acquired by the Shuttle Radar Topography Mission. Additionally, differenced Normalized Burn Ratio (dNBR) was used to analyze burn severity for each fire. The change in chlorophyll-a levels before and after each fire from the impacted coastal area were evaluated using the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Aqua satellite. The Random Forest Regression machine learning model did not strongly predict the difference in chlorophyll-a from the fire parameters. However, our moderate R2 value (0.36) shows promising avenues for future work, including investigating post-fire chlorophyll-a after the first significant rain event, as well as the impact of wind-blown ash on coastal chlorophyll-a concentrations.

Hannah Samuelson

Species-specific Impact on Maximum Fire Temperature in Prescribed Burns at Sedgwick Reserve

Hannah Samuelson, University of St. Thomas

Fuel load plays a key role in determining severity (change in biomass), intensity (temperature), and frequency (length in time) of wildfires and prescribed fires. Fuel loads can vary in fuel conditions, like moisture content, amount, and flammability of the fuel, and are affected by species type and climatic conditions. Moreover, the difference in the chemical composition of plant species can affect its flammability. Anecdotal evidence from firefighters claim that Purple Sage burns hotter than other shrubs. Here we focus on two shrub species and two tree species that are broadly representative of California foothills; Blue Oak (Quercus douglasii), Coast Live Oak (Quercus agrifolia), Purple Sage (Salvia leucophylla), and California Sagebrush (Artemisia californica), and aim to understand species-specific proclivity to burn with higher or lower severity and intensity. In fall of 2023, a prescribed fire was conducted at Sedgwick Reserve in Santa Barbara County, CA. Field data collection included maximum temperature point measurements with metal pyrometers, the change in 3D vegetation structure using UAV LiDAR, and orthomosaic images for species identification. Radial buffers were created around the locations of the metal pyrometers and used to evaluate the spatial distribution of species, which were verified through field-observed species identification. The relationship between dominant overstory species, change in biomass, and maximum fire temperature was investigated. Preliminary results suggest that Purple Sage produced the highest maximum fire temperatures. Additionally, preliminary results showed both tree species, Blue Oak and Coast Live Oak, exhibit similar biomass change at low maximum fire temperatures. This investigation confirmed the firefighters’ anecdotal evidence on the relationship between species and their wildfire dynamics. The results have the potential to refine fire spread models and ultimately land management practices, improving the protection of humans and infrastructure while preventing habitat destruction from wildfires.

Angelina Harris

Quantifying the Influence of Soil Type, Slope, and Aspect on Live Fuel Load in Sedgwick Reserve

Angelina Harris, William & Mary

The severity and increasing frequency of California wildfires requires investigation of factors that characterize pre-fire landscapes to improve approaches to wildland management and predict the spread of wildfire. Quantifying the relationship between soil type and fuel load could improve existing efforts to map both overall quantity and composition of live fuel for fire spread models which may assist in preventative wildfire measures and potentially active firefighting work. The southwest corner of Sedgwick Reserve, Santa Barbara County, CA hosts two dominant soil types that broadly represent soil variability in the area. The more northerly soil unit is a Chamise shaly loam, and the more southerly soil unit is a Shedd silty clay loam. The Chamise series has a mixed texture, abundant in clay with a significant amount of rock fragments (> 35%) composing its texture while the Shedd series has a fine texture dominated by silt-sized particles. Topography, specifically slope and aspect, plays a significant role in formation and characteristics of soil due to influence on erosion and deposition and sun exposure, respectively. This research aims to explore the relationship between soil type and topography and quantify their influence on live fuel using a Canopy Height Model (CHM) derived from airborne LiDAR collected on 11/04/2020 with a point density of 10.19 pts/m2. The LiDAR-based CHM was filtered to separate trees (> 2 m) and shrubs (.07 – 2 m). A Random Forest Regressor was used to investigate the relationship between soil type, slope, and aspect to identify which variable is the best predictor of canopy height. Preliminary results suggested that soil type and aspect were the most important variables to determine canopy height (variable importance of .50 and .41, respectively). Further studies investigating quantity and composition of live fuel load focusing on additional soil units within Sedgwick Reserve are encouraged.

Emily Rogers

From Canopy to Chemistry: Exploring the Relationship Between Vegetation Phenology and Isoprene Emission

Emily Rogers, Bellarmine University

Isoprene (2-methyl-1,3-butadiene) represents the most abundant non-methane biogenic volatile organic compound in the troposphere, with annual emissions almost equal to those of methane. Depending on the chemical environment, this effective thermoregulator and reactive oxygen species scavenger participates in photochemical reactions to produce climate pollutants and toxins such as ozone and secondary organic aerosols. Previous studies have revealed strong connections between isoprene emission and photosynthesis as its precursors are formed during the Calvin Cycle. This raises questions as to whether the periodic biological events of plants, collectively known as vegetation phenology, influences tropospheric isoprene quantities. In this study, we investigate the influence of vegetation phenology on isoprene emission in Southern California by comparing photosynthetic activity and the spatial distribution of the isoprene oxidation product, formaldehyde, for regions dominated by plants of two different physiologies: high altitude woodlands and coastal shrublands. We interrogate the annual phenology of these regions using high resolution solar-induced chlorophyll fluorescence (SIF) estimates from the Orbiting Carbon Observatory-2 (OCO-2) satellite, and formaldehyde vertical column measurements from the recently activated Tropospheric Emissions: Monitoring of Pollution (TEMPO) geostationary satellite. We explore the seasonal trends in both formaldehyde formation and SIF as well as their bivariate relationship. Preliminary results indicate both heightened formaldehyde emission and heightened SIF during summer months relative to winter months, with a comparatively stronger correlation between the two metrics during the fall. Our findings will provide insight toward the response of plants to variations in their environment which directly influence chemical systems in the air. Whereas VOCs hold a great potential for environmental and anthropological harm if emitted in excess, it is crucial to understand the factors involved in their formation. As such, we hope that our findings provide information relevant to the development of air pollution mitigation strategies.

Sydney Kent

Keeping it Fresh(water): Understanding the Influence of Surface Mineralogy on Groundwater Quality within Volcanic Aquifer Systems

Sydney Kent, Miami University

Geology plays a key role in determining the chemical profile of groundwater through weathering and erosion, leading to minerals entering the groundwater. The Columbia Plateau, a geologic region that resides within the Pacific Northwest volcanic aquifer system, is known to have water management issues due to groundwater extraction for agriculture. Decreases in groundwater levels can lead to higher concentrations of rock-originated minerals, so the relationship between basaltic geology and well water quality is particularly important in these systems. This research aims to assess the extent in which the basaltic surface mineralogy of the Columbia Plateau impacts predetermined health benchmarks pertaining to trace elements, radionuclides, and nutrients. NASA’s Earth Surface Mineral Dust Source Investigation (EMIT) instrument, a spaceborne imaging spectrometer on the International Space Station, was used to map surface minerals within and among distinct regions of the Columbia Plateau. Some basalt aquifers have uranium that decays to radon-222, a mineral that can be toxic when consumed, as well as lithium, which is commonly found during volcanic eruptions. Preliminary findings showed that where basalt and its secondary minerals were identified with EMIT, chlorite and calcite, well data also indicated raised levels of lithium and radon-222. The relationship between EMIT mineral maps and water quality data indicated that EMIT can potentially be used to identify basalt aquifer systems that may be at risk of poor water quality. Results from this study can be used to enact more personalized water purification methods in areas with water quality issues and individuals with private wells can be more informed about the hazards present in their water.

Click here watch the Atmospheric Aerosols Group presentations.

Click here watch the Ocean Group presentations.

Click here watch the Whole Air Sampling (WAS) Group presentations.

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Last Updated
Sep 25, 2024

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      Jun Wang [University of Iowa—SAGE III/ISS Science Team Leader] and David Flittner [LaRC—SAGE III/ISS Project Scientist] kicked off the STM. The pair welcomed all participants and invited Richard Eckman [NASA Headquarters (HQ)—SAGE III/ISS Program Scientist, now emeritus (as of January 1, 2025)] to deliver opening remarks. Allison McMahon [LaRC/Science Systems and Applications, Inc. (SSAI)—SAGE III/ISS Communications Lead] then spoke and provided logistical details for the meeting.
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      Project Operation and Data Product Briefing
      David Flittner presented an update of the mission status, with over seven years and counting of data collection/analysis/release. SAGE III/ISS went through the 2023 Earth Science Senior Review (see page 15 of linked document for specific summary of the SAGE III/ISS results), and NASA HQ approved the proposal for continued operations for 2024–2026, with partial, overguide (i.e., above baseline request) funding approved to support community validation efforts, e.g., developing online quick look tools – see Figure 1 – and timely algorithm and product improvements. However, some reduction in mission staff and reorganization of work assignments have had to occur to stay within the allotted budget.
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      Figure 1. An example of an enhanced tool for the community to visualize SAGE III/ISS data validation. Figure Credit: Mary Cate McKee [LaRC] Robbie Manion [LaRC] presented version 6.0 (V6) of the SAGE III/ISS data products, which were released in April 2025. Owing to a change in source ozone (O3) cross sections, this version will resolve the longstanding low bias in retrieved aerosol extinction around 600 nm. As a result, some changes in the downstream data products for inferred particle size distribution and aerosol/cloud categorization are expected. In addition, V6 will allow for recovery of hundreds of profiles previously impeded by the recent proliferation of sunspots.
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      Invited Presentations on Synergy with New Limb Missions in Formulation
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      Björn-Martin Sinnhuber [Karlsruhe Institute of Technology, Germany] gave an overview of the Changing-Atmosphere Infrared Tomography Explorer (CAIRT), a candidate mission for the upcoming European Space Agency (ESA) Earth Explorer 11 satellite. If selected, CAIRT would provide passive infrared limb imaging of atmospheric temperature and trace constituents from the upper troposphere at about 5 km (3 mi) altitude up to the lower thermosphere at 115 km (71 mi) altitude. The presentation highlighted how these observations can provide information on how atmospheric gravity waves drive middle atmosphere circulation, age-of-air in the middle atmosphere, the descent of nitrogen oxides (Nox) from the thermosphere into the stratosphere, as well as the detection of sulfur species and sulfate (SO42-) aerosols in the stratosphere.
      Aerosols
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      Jianglong Zhang [University of North Dakota] discussed the research plans of a newly funded SAGE project to investigate effective methods for improving stratospheric aerosol analyses and forecasts from aerosol models that can be used for future air quality and visibility forecasts and climate applications. Zhang also presented preliminary comparisons of collocated SAGE aerosol extinction and Cloud Aerosol Transport System (CATS) lidar aerosol extinction values in the stratosphere. [NOTE: CATS operated on ISS from 2015–2017.]
      Sara Lu [The State University of New York, Albany] discussed efforts to examine smoke aerosol radiative effects in the upper troposphere and lower stratosphere using SAGE III/ISS observations. Lu explained that this project aims to produce multiyear analysis of aerosol radiative effects from all known pyrocumulonimbus cloud (pyroCb) events worldwide over a range of pyroCb intensities and various injection altitudes, geographic locations, and backgrounds. He presented findings from a pyroCb inventory compiled by the Naval Research Lab (NRL).
      Xi Chen and Jun Wang [both University of Iowa] presented their new project on retrieving aerosol properties using SAGE III/ISS lunar measurements. They noted the challenges in normalizing lunar measurements caused by the Moon’s non-uniform surface. To address this, the team is developing a local normalization method to derive atmospheric transmissions from signals detected within each lunar event, enabling accurate aerosol retrieval. They reported that preliminary results are promising as evidenced by comparison with transmission product from collocated solar events – see Figure 2. This new processing will enrich the spatial and temporal coverage of SAGE III/ISS aerosol product by involving lunar events.
      Figure 2. Preliminary results of the transmission derived from SAGE III/ISS lunar measurements (y-axis) and its comparison with collocated SAGE III/ISS solar measurements (x-axis). The comparisons are presented in two ways, one for the same wavelength color-coded by altitude [left] and another at the same altitude color-coded for the different wavelengths [right]. The results are for June 2017 through Novembe 2022, and the collocation criteria requires latitude separation smaller than 1˚ and observation times within 10 days. Note that if the transmission at any wavelength or altitude is smaller than 0.005, it is removed from the comparison for quality assurance purpose. Figure Credit: Xi Chen, University of Iowa Adam Pastorek and Peter Bernath [both Old Dominion University] discussed the properties of stratospheric SO42- aerosols from the infrared transmission spectra of Atmospheric Chemistry Experiment (ACE) – flying on the Canadian SCISAT satellite since 2003 – and optical extinction from SAGE III/ISS. Based on ACE infrared measurements, the researchers derived an empirical formula to determine the composition (weight % H2SO4) of volcanic plumes. They combined coincident ACE and SAGE III/ISS measurements, using bimodal, log-normal size distributions to reproduce the observations – see Figure 3. They used ACE observations of sulfur dioxide (SO2) to study the creation and destruction of stratospheric SO42- aerosols.
      Figure 3. Combined transmittance fitting results from Atmospheric Chemistry Experiment– Fourier Transform Spectrometer (ACE-FTS), and SAGE III/ISS measurements demonstrate an improved characterization of sulfate particle size distribution using bi-lognormal (mode) distributions compared to a single lognormal distribution. The panels on the left show the transmittance fitting [top] and residuals [bottom] for the mono-mode distribution model, while the center panels show the transmittance fitting [top] and residuals [bottom] for the bi-mode distribution. The right panel illustrates the contributions of fine and coarse mode components to the total transmittance. The measurements for this figure were taken approximately four months after the January 2022 Hunga Tonga–Hunga Haʻapai eruption at a tangent height of 23.6 km (14.5 mi) in ACE occultation (ss100628), with coincident SAGE measurements from that same period (2022041609). Figure Credit: Adam Pastorek, adapted from a Figure in a paper published in Journal of Quantitative Spectroscopy and Radiative Transfer in January 2024. Sean Davis [NOAA, Chemistry Science Lab] presented on his research aimed at constraining decadal variability and assessing trends in stratospheric composition and tropospheric circulation using SAGE III/ISS and complementary satellite data sets. The team continues to include the SAGE water vapor and O3 products in the Stratospheric Water and OzOne Satellite Homogenized (SWOOSH) dataset. Davis also highlighted preliminary work evaluating V6 data in comparison to the former V5.3. He discussed line-of-sight, transmission-based filtering for O3 profiles and O3 diurnal variability corrections.
      Lars Kalnaajs [University of Colorado, Boulder] presented results from two studies of particle size distributions from SAGE aerosol extinction data. Kalnaajs summarized results from two papers in review. His team paired the Optical Particle Counter collected from balloon platforms with SAGE II data to derive the parameters for bi-mode aerosol size distribution. They also presented the work of using SAGE III extinction ratios, 448/756 versus 1544/756, to derive monomodal lognormal size distribution, which allows them to compute distribution moments and compare these to in situ measurements taken over Sweden in the winters of 2002 and 2004.
      Anne Thompson [GSFC, emeritus] presented on the Southern Hemisphere Additional Ozonesondes (SHADOZ) network and how that SHADOZ data are a satellite validation standard and can also be used to assess ozone trends in the upper troposphere and lower stratosphere. Thompson emphasized that SHADOZ O3 profiles are the only standard process to obtain measurements from surface to mid-stratosphere at 100–150 m (328–492 ft) resolution. Such measurements are essential to validate O3 measurements from SAGE-derived products. She also presented an update on the free tropospheric and lowermost stratospheric (LMS) O3 trends from eight equatorial SHADOZ sites. Newer calculations confirm that an apparent LMS seasonal decline (July–September) is associated with a roughly 100 m (328 ft) upward trend in tropopause height.
      DAY TWO
      The second day started with Jack Kaye [NASA Earth Science Division—Associate Director for Research for the Earth Science Division, emeritus as of April 30, 2025] providing a historic perspective on SAGE and comments on its context within NASA’s overall Earth science program. A technical session was held with three invited presentations, followed by three additional sessions where science team members presented their research on trace gas studies, including data product calibration and validation. The meeting concluded with updates from the SAGE project team on the SAGE III/ISS website and ongoing operations aboard the ISS. In his presentation, Kaye shared about his past involvement with the SAGE program and his perspective on its future in the context of flight missions for Earth observations.
      Invited Presentations on Advanced Modeling and New Satellite Mission For UTS
      Steven Pawson [GSFC] presented on the comprehensive modeling and analysis capabilities of
      Upper troposphere and lower stratosphere (UTLS) dynamics and composition in the Goddard Earth Observing System (GEOS) model Pawson discussed the Global Modeling and Assimilation Office’s (GMAO) recent support for the Asian summer monsoon Chemical and CLimate Impact Project (ACCLIP) mission and the trend analysis of stratospheric O3. He also discussed future plans for GMAO, including improving the representation of water vapor in UTS through data assimilation and increasing horizontal and vertical resolution in the GEOS model.
      Kostas Tsigaridis [Columbia University] presented recent research on the composition and climate impacts of increasing launches to Low Earth Orbit (LEO). Assuming that there are 10,000 launches per year and all launches use liquefied natural gas (LNG) as a propellant, the team compiled launch-related emission inventories and highlighted key uncertainties that could significantly affect climate predictions – particularly the impact black carbon has on the radiative balance and heterogeneous chemistry of the UTS. In addition, water vapor was found to contribute to the heating of the stratosphere and to a nontrivial amount of O3 depletion – 13 Dobson units (DU) on the global mean.
      Adam Bourassa [University of Saskatchewan, Canada] introduced the satellite mission for High-altitude Aerosol, Water vapor, and Clouds (HAWC), planned as the Canadian contribution to the NASA Atmosphere Observing System (AOS) for launch in 2031 – a key component in NASA’s next generation Earth System Observatory. Bourassa highlighted the three Canadian instruments, which include limb profilers for water vapor and aerosol in the UTS and a far infrared imaging radiometer for ice cloud microphysics and radiative budget closure. He discussed instrument requirements and development progress as well as results from recent sub-orbital testing of prototypes on the NASA Earth Resources (ER)-2 and stratospheric balloons.
      Trace Gases
      Brian Soden [University of Miami] presented a new project that will use SAGE data to constrain climate sensitivity in climate models. Climate models differ substantially in their calculation of the radiative forcing from carbon dioxide (CO2), and these intermodel differences have remained largely unchanged for several decades. Soden highlighted the role of stratospheric temperature in modulating the radiative forcing from CO2. He explained that models that simulate a cooler stratosphere simulate a larger radiative forcing for the same change in CO2 compared to models that posit a warmer stratosphere. He added that determining the cause of the model biases in stratospheric temperature – particularly the role of water vapor in driving this intermodel spread – is an area of active research.
      Ray Wang [Georgia Institute of Technology] compared the uncertainty analysis of SAGE III retrieved O3 and water vapor data in V5.3 to the same parameters in V6.0. He then compared the SAGE III data to the correlative measurements from other platforms. For O3, the differences between SAGE and measurements from the Microwave Limb Sounder (MLS) on NASA’s Aura platform are less than 5% in the stratosphere. SAGE V6.0 ozone values are systematically about 1–2% higher than those from V5.3 O3 –  due to changes in how the O3 cross-section is represented in each version. For water vapor, SAGE data agree with MLS and Frost Point Hygrometer (FPH) data within 5%. Wang showed some differences between SAGE water vapor data retrievals using V5.3 and the same data obtained using version 6.0. He also said that a two-dimensional (i.e., spatial and temporal) regression model can be used to minimize sampling bias in climatology derived from non-uniform satellite measurements – ensuring more accurate representation of long-term trends.
      Emma Knowland [GSFC/Morgan State University, Goddard Earth Sciences Technology and Research II (GESTAR II), now NASA HQ—SAGE III/ISS Program Scientist] discussed the progress of assimilating SAGE III water vapor data product into NASA’s GEOS re-analysis. Her team’s work demonstrated that while the number of solar occultation observations a day from SAGE III/ISS is about 1% of the total number of profiles observed globally by MLS, the chemical timescales of water vapor in the lower stratosphere are long enough that the SAGE III/ISS data can provide a valuable constraint on GEOS re-analysis, especially in the absence of MLS data – see Figure 4.
      Figure 4. Hovmöller diagrams of the vertical distribution of 15°S–15°N average water vapor anomalies in upper troposphere–stratosphere with water vapor relaxed to a climatology [top left] and from data assimilation of SAGE III/ISS water vapor into the Goddard Earth Observing System (GEOS) model [bottom left]. Scatter plots show water vapor mixing ratios (y-axis) with [top right] and without [bottom right] data assimilation compared independent observations from the Atmospheric Chemistry Experiment – Fourier Transform Spectrometer (ACE-FTS) data (x-axis). The ACE–FTS data were not used in data assimilation. This shows that data assimilation of SAGE data improves the agreement with ACE-FTS – especially in the lower stratosphere (400 to 500 K). Figure Credit: Emma Knowland [NASA] Melody Avery [University of Colorado, Boulder] discussed using SAGE data  and data from the Cloud–Aerosol Lidar with Orthogonal Projection (CALIOP) instrument (on the former Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) mission) to study thin clouds and aerosol distributions in the tropical tropopause region (TTL). Avery explained that these distributions from V5.3 of SAGE-III/ISS and V5.41 of CALIOP are shown to agree well, and CALIOP observations of cloud frequency are shown to be a sensitive metric for defining the width of the Hadley Cell near the tropical tropopause. Combining SAGE and CALIOP data produced a longer timescale to constrain and evaluate climate models that currently do not agree on how the tropical width at this altitude varies. They found that results derived using SAGE V6.0 versus V5.3 differ on the order of 2% in the TTL region.
      Pamela Wales [GESTAR II] introduced a new project that leverages SAGE III/ISS measurements to explore diurnal characteristics of O3 and nitrogen dioxide (NO2) in GEOS model products. Her team is exploring potentially using a GEOS reanalysis of stratospheric trace gases collected by MLS as a transfer standard to evaluate the consistency between the SAGE III/ISS solar and the less frequently measured lunar retrieval. They are also assessing uncertainties in stratospheric NO2 in the GEOS Composition Forecast (GEOS-CF) model using SAGE III/ISS and complementary satellite instruments. This work will inform how effectively GEOS-CF can be used in air quality studies to remove the stratospheric signal from column retrievals of NO2.
      Luis Millán [JPL] presented work on the change of stratospheric water vapor mass after the Hunga Tonga–Hunga Haʻapai (Hunga) volcano eruption in 2022. Millán found an increase (~10%) of total stratospheric water vapor – a potent greenhouse gas. Given their advanced age, MLS, ACE-FTS, and the Sounding of the Atmosphere using Broadband Emission Radiometry (SABER) instrument on NASA’s Thermosphere, Ionosphere, Mesosphere, Energetics and Dynamics (TIMED) mission (Heliosphere Division), are nearing the end of their missions, leaving SAGE III/ISS as the primary instrument for monitoring the plume’s evolution. Millán discussed how the SAGE III/ISS measurements might be sufficient to observe the dispersion of the excess Hunga water vapor from stratosphere in coming years. He also discussed a 39-year plus record of stratospheric water vapor mass using the overlapping periods between SAGE II, MLS, and SAGE III/ISS.
      Ryan Stauffer [GSFC] presented the operation and outcomes of the Ticosonde balloon-borne O3 and water vapor sonde project in San Jose, Costa Rica. Ongoing since July 2005, Ticosonde has collected over 700 O3 profiles and 270 water vapor profiles for climate and pollution studies and satellite validation. Because Ticosonde is the only long-term water vapor sonde station in the tropics, the stratospheric water vapor data is vital for validation of SAGE-III/ISS and MLS profiles. Ticosonde has been used to verify the success of updated water vapor retrieval algorithms for both instruments – which now agree within a few percent up to 25 km (15 mi) altitude.
      Natalya Kramarova [GSFC] showed the comparison of O3 profile retrieved from SAGE III with those derived from the OMPS-LP sensor – which is part of OMPS on NOAA-21 – from February 2023–June 2024. Diurnal corrections using the Goddard Diurnal Ozone Climatology (which is described in a 2020 article in Atmospheric Measurement Techniques) is applied to account for differences in measurement times between SAGE III’s sunrise or sunset observations and NOAA-21 LP’s midday measurements. Once the time correction is made, results show good agreement between the two instruments in depicting vertical ozone distribution across different geographical regions (e.g., tropics and mid-latitudes) and under various conditions (e.g., near the edge of the Antarctic O3 hole in October 2023). The mean biases between NOAA-21 LP and SAGE III are typically within ±5% between ~18–45 km (11–28 mi).
      Project Team and Operations Highlights
      Michael Heitz [LaRC] showed that V5.3 and previous versions of the SAGE III/ISS data product had a noticeable – and unphysical – dip in the retrieved aerosol extinction between 520–676 nm. This dip has been referred to as the aerosol “seagull.” However, adoption of a new absorption cross-section database into the V6.0 algorithm reduced the aerosol seagull effect significantly. Kevin Leavor [LaRC] presented new developments for the SAGE III/ISS quick look website. Mary Cate McKee [LaRC] introduced a new feature of the quick look website that showcases comparisons of O3 and water vapor sonde data at over 40 stations. Sonde data is sourced from the Network for the Detection of Atmospheric Composition Change (NDACC), GSFC’s SHADOZ, and the World Ozone and Ultraviolet Radiation Data Centre (WOUDC). Heitz explained that the comparison plots are updated continuously as new coincidences occur, providing the community with valuable insight to the quality of SAGE III/ISS data relative to this external network of ground stations. Future additions to the website include aerosol and lidar comparisons, additional plot statistics, and comparisons with novel homogenized datasets.
      Returning to a topic discussed in Jamie Nehrir’s presentation, Charles Hill [LaRC] showed that the SAGE III Disturbance Monitoring Package (DMP) correction to the data product – which was implemented beginning with V5.3 – has significantly reduced the product uncertainties caused by ISS vibrations. Approximately 7% of SAGE III occultation events are highly disturbed by mechanical vibrations, and the DMP correction has improved pointing registrations in these events significantly. The DMP’s x-axis gyroscope failed on August 8, 2023 – but this loss did not significantly affect the DMP correction to scan plane elevation. Future possible losses of either the y- or z-axes will end active correction of ISS disturbances.
      Conclusion
      Jun Wang, David Flittner, and Richard Eckman led the closing discussion that highlighted the growing interest in atmospheric composition change –  particularly due to emissions from large wildfires and volcanic eruptions in recent years. This increasing interest contrasts with the declining availability of observational data from the upper troposphere, following the retirement of CALIPSO in late 2023 and the planned decommissioning of Aura’s aging limb instruments in 2026. This gap underscores the critical importance of SAGE III/ISS data – not only for current UTS research but also for the next 5–7 years, during which no new limb measurements are planned.
      SAGE III/ISS remains essential for profiling key atmospheric constituents, including water vapor, aerosols, O₃, and NO₂. The long-term, consistent data record provided by the SAGE series of instruments since the late 1970s – including SAGE III/ISS since 2017 – has been invaluable for studying past and future changes in atmospheric composition within the UTS. To further support research and applications of SAGE data products, participants discussed the possibility of proposing a special collection of articles in AGU journals.
      Overall, the 2024 SAGE III/ISS meeting was a success. Participants received valuable updates on the status of SAGE III/ISS operations, data product calibration and validation, and new developments. The meeting also showcased the collective expertise and excellence in driving advancements in UTS research, from climate change studies to data assimilation for chemistry transport models and contributions to multi-sensor data fusion.
      Jun Wang
      University of Iowa
      jun-wang-1@uiowa.edu
      David Flittner
      Langley Research Center
      david.e.flittner@nasa.gov
      Richard Eckman
      NASA Langley Research Center
      richard.s.eckman@nasa.gov
      Emma Knowland
      NASA Headquarters
      k.e.knowland@nasa.gov
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