AS3.31 | Geo-Ring for Air Quality
Geo-Ring for Air Quality
Convener: Shobha Kondragunta | Co-conveners: Hyunkee Hong, Claus Zehner, Barry Lefer, Jhoon Kim
Orals
| Wed, 17 Apr, 08:30–12:25 (CEST)
 
Room E2
Posters on site
| Attendance Wed, 17 Apr, 16:15–18:00 (CEST) | Display Wed, 17 Apr, 14:00–18:00
 
Hall X5
Posters virtual
| Attendance Wed, 17 Apr, 14:00–15:45 (CEST) | Display Wed, 17 Apr, 08:30–18:00
 
vHall X5
Orals |
Wed, 08:30
Wed, 16:15
Wed, 14:00
A constellation of geostationary satellite ultraviolet-visible (UV-VIS) spectrometers with air quality related trace gas and aerosol observational capabilities will soon be in orbit forming a Geo-Ring. These include Geostationary Monitoring Spectrometer (GEMS) launched in January 2020 by Korean Aerospace Research Institute for National Institute of Environmental Research over Asia, Tropospheric Emissions: Monitoring of Pollution (TEMPO) launched in April 2023 by NASA over North America, and the Copernicus Sentinel-4 ultraviolet visible near infrared (UVN) instrument developed by the European Space Agency and to be launched in 2024/2025 over Europe. Both GEMS and Copernicus Sentinel-4 have operational continuity and for TEMPO, NOAA’s GeoXO atmospheric composition instrument (ACX) will be an operational follow-on. A very successful demonstration of tropospheric air quality observational capability by Ozone Monitoring Instrument (OMI) and Tropospheric Monitoring Instrument (TROPOMI) in Low Earth Orbit laid the foundation for similar instruments in geostationary orbit, expanding the observations from daily to hourly time scales. We are soliciting papers on global hourly observations of different pollutants from Geo-Ring, consistency of products with state of the art calibration and validation including TROPOMI as a transfer standard for Level 1B radiances, usage of trace gas and aerosol data in models, inverse modeling to derive emissions, long-range transport of pollutants, and related topics along with international collaborations.

Orals: Wed, 17 Apr | Room E2

Chairpersons: Claus Zehner, Monika Kopacz
08:30–08:50
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EGU24-14173
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solicited
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Virtual presentation
Xiong Liu, Kelly Chance, Raid Suleiman, John Houck, John Davis, Gonzalo Gonzalez Abad, Caroline Nowlan, Huiqun Wang, Heesung Chong, and Weizhen Hou and the TEMPO Team

We present an overview of the initial data products of TEMPO during its commissioning and early nominal operation and preliminary comparison with correlative satellite and ground-based observations.

TEMPO is NASA’s first Earth Venture Instrument (EVI) and first host payload. It measures hourly daytime atmospheric pollution over North America from Mexico City to the Canadian oil sands, and from the Atlantic to the Pacific, at high spatiotemporal resolution (~10 km2 at boresight) from the geostationary (GEO) orbit. It uses UV/visible spectroscopy (293-493 nm, 538-741 nm) to measure O3 profiles including lower tropospheric O3 and columns of NO2, H2CO, SO2, C2H2O2, H2O, BrO, IO, as well as clouds aerosols, and UVB. TEMPO provides a tropospheric measurement suite that includes the key elements of tropospheric air pollution chemistry and captures the inherent high variability in the diurnal cycle of emissions and chemistry. The TEMPO instrument was built by Ball in 2018. It was integrated into the host commercial communication satellite Intelsat 40e (IS-40e) by Maxar. IS-40e was successfully launched on April 7 by a SpaceX Falcon 9 rocket on to the GEO orbit at 91°W. The TEMPO Instrument powered up for the first time on orbit in early June to start its commissioning. After a month of dry out and activation, TEMPO first light of solar and earth measurements occurred on July 31-August 2. Nominal operation started on 19 October 2023 after the commissioning phase and the post-launch acceptance review. Science data products are archived and distributed at NASA’s ASDC and will be released to the public in approximately February 2024 for L1b and in April 2024 for L2/3. TEMPO is part of a geostationary constellation to measure air quality along with GEMS (launched in Feb. 2020) over Asia and Sentinel-4 (to launch in 2024) over Europe.

How to cite: Liu, X., Chance, K., Suleiman, R., Houck, J., Davis, J., Gonzalez Abad, G., Nowlan, C., Wang, H., Chong, H., and Hou, W. and the TEMPO Team: A New Era of Air Quality Monitoring from Space overNorth America with TEMPO: Commissioning and Early Nominal Operation Results, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14173, https://doi.org/10.5194/egusphere-egu24-14173, 2024.

08:50–09:00
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EGU24-10909
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On-site presentation
Pepijn Veefkind, Benjamin Leune, Jos van Geffen, and Hyunkee Hong

Together with the geostationary imagers over Southeast Asia (GEMS), North America (TEMPO) and Europe (Sentinel 4), TROPOMI and its follow-on low Earth orbit missions will establish the global air quality satellite constellation. The role of the low Earth orbit sensors in this constellation is twofold: firstly to provide the global coverage, including regions that cannot or will not be covered by the geostationary imagers, and secondly to facilitate cross-comparisons of the geostationary imagers, thereby serving as a travelling standard.

With the availability of the GEMS data and the expected release of the TEMPO data, the development of novel methods to intercompare the geostationary and low Earth orbit data is timely. When comparing data from geostationary and low Earth orbit data, one important aspect to overcome is the difference in the Sun-satellite geometry of the observations for an area on Earth. When comparing measured radiances under different geometries, complex corrections are required, for example to deal with the directionality of the surface reflectance. The uncertainties of such corrections may be larger than the expected difference in the radiance between the geostationary and low Earth orbit observations.

As the GEMS field of view includes the sub-satellite point at the equator, there is the unique opportunity for direct comparison when the TROPOMI nadir observations cover this point. In this case, observations of GEMS and TROPOMI with the same the same viewing geometry are available within maximum 30 minutes of each other. The time difference can be accounted for by interpolation, and/or by including a larger geographic area on the Earth in the intercomparison. As the orbital repeat cycle of TROPOMI is 227 orbits, there is an opportunity for direct comparisons approximately every 16 days. Such comparisons can include comparisons of the Level 1B radiances, reflectances, or fitted quantities such as slant column densities for different gases.

In this contribution we will demonstrate the method using case studies of direct comparisons of radiance, reflectances and NO2 slant columns, as well as comparisons for different seasons.

How to cite: Veefkind, P., Leune, B., van Geffen, J., and Hong, H.: Comparing TROPOMI and GEMS Observations for the Same Sun-Satellite Geometry , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10909, https://doi.org/10.5194/egusphere-egu24-10909, 2024.

09:00–09:10
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EGU24-10221
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On-site presentation
Andreas Richter, Kezia Lange, John P. Burrows, Hartmut Boesch, Si-Wan Kim, Seunghwan Seo, Kyoung-Min Kim, Hyunkee Hong, Hanlim Lee, and Junsung Park

Nitrogen oxides (NOx = NO + NO2) are among the most important pollutants in the atmosphere. They impact tropospheric ozone chemistry, contribute to particle formation and adversely affect human health.

The monitoring of NO2 is mainly performed by surface in-situ networks. Satellite observations can contribute by providing a large-scale picture and covering regions without in-situ observations. The satellite instruments traditionally used for NO2 retrieval (GOME, SCIAMACHY, OMI, TROPOMI) operate on low-earth orbiting platforms, providing global coverage but only one or two measurements per day. The Korean GEMS instrument, launched in February 2020, is the first in a series of geostationary observation platforms allowing hourly measurements of NO2 from space.

Based on the work performed in preparation for the European S4 satellite, a tropospheric NO2 retrieval for GEMS has been developed at IUP-UB. This product focuses on achieving low noise and high accuracy by optimising the fitting window and including corrections for instrument polarisation sensitivity and scene inhomogeneity. Stratospheric correction is performed using different approaches to investigate the impact on the tropospheric columns. For the airmass factors, cloud correction is applied using cloud fractions derived after correction for calibration issues in GEMS irradiance measurements. The resulting tropospheric columns for the first three years of GEMS operation show excellent agreement with the operational TROPOMI NO2 product at the time of TROPOMI overpass. They also exhibit systematic and variable daily patterns, which depend on season and location.

How to cite: Richter, A., Lange, K., Burrows, J. P., Boesch, H., Kim, S.-W., Seo, S., Kim, K.-M., Hong, H., Lee, H., and Park, J.: The GEMS IUP-UB tropospheric NO2 product – sensitivity studies and first results, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10221, https://doi.org/10.5194/egusphere-egu24-10221, 2024.

09:10–09:20
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EGU24-6093
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On-site presentation
Kai Yang, Shobha Kondragunta, and Zigang Wei

The atmospheric composition instrument (ACX) on NOAA's GeoXO mission will enhance NOAA's air quality monitoring capabilities by providing hourly high-resolution observations of air pollutants over North America, like its predecessor, NASA's TEMPO mission. We are developing and implementing an advanced algorithm for accurate NO2 retrieval from GeoXO ACX. Applying this algorithm to GEMS and TEMPO, we demonstrate in this presentation the success of rapid production of high-quality NO2 data soon after the mission starts to collect Earthview measurements. We describe the technique for instrument characterization and identification of instrument artifacts for improving retrieval precisions, and the soft calibration approach for removing systematic biases in NO2 retrieval. Using TROPOMI as a transfer standard, we show consistent NO2 slant columns are retrieved from GEMS and TEMPO using the GeoXO ACX NO2 algorithm.

How to cite: Yang, K., Kondragunta, S., and Wei, Z.: Application of the GeoXO ACX NO2 Algorithm to GEMS and TEMPO and Intercomparisons with TROPOMI, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6093, https://doi.org/10.5194/egusphere-egu24-6093, 2024.

09:20–09:30
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EGU24-6208
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ECS
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Highlight
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On-site presentation
Sora Seo, Pieter Valks, Klaus-Peter Heue, Ronny Lutz, Pascal Hedelt, Diego Loyola, Hanlim Lee, and Jhoon Kim

Nitrogen oxides play an important role in many atmospheric chemistry processes in both the stratosphere and troposphere. In this context, over the past few decades, NO2 column measurements have been provided from polar sun-synchronous low-earth orbit (LEO) satellite instruments. These space-borne remote sensing measurements have contributed to our understanding of the global distribution of tropospheric NO2 levels, their changes over time and estimates of emissions. However, the LEO instruments only observe NO2 once per day at a specific local time, limiting the monitoring of diurnal variation in NO2 due to variations in emissions and chemical reactions throughout the day. To address the shortcomings of the current atmospheric composition monitoring by LEO and to capture the diurnal variation of air quality processes at the local scale, the Geostationary Air Quality (Geo-AQ) constellation mission, consisting of three geostationary satellite sensors (i.e. Geostationary Environment Monitoring Spectrometer (GEMS) for Asia, Tropospheric Emissions: Monitoring of Pollution (TEMPO) for North America, and Sentinel-4 (S4) for Europe), has been launched.

In this study, we present a tropospheric NO2 retrieval algorithm designed for geostationary satellites using GEMS measurements. The GEMS NO2 retrieval algorithm is based on a heritage of NO2 retrieval from previous LEO satellites, following a common approach consisting of three steps: (1) the spectral retrieval of total NO2 slant columns using Differential Optical Absorption Spectroscopy (DOAS) technique, (2) the separation of slant columns into stratospheric and tropospheric contributions, and (3) the conversion of tropospheric slant columns to tropospheric vertical columns using air mass factors. However, to account for the characteristics of the geostationary satellite, such as hourly sampling, limited geographical coverage, and larger zenith angles, we developed and implemented a number of improvements in the DLR GEMS NO2 retrieval algorithm. To estimate the stratospheric contribution and describe the diurnal variation of stratospheric fields, an improved stratosphere-troposphere separation approach was developed using the CAMS global forecast (IFS cycle 48r1) data and evaluated by comparing it to results obtained using the STREAM scheme. For the improved tropospheric AMF calculation, sensitivity tests were performed using different surface reflectance and cloud products. Notably, a cloud correction using cloud parameters from the DLR Optical Cloud Recognition Algorithm (OCRA) based on Loyola et al. (2018) improves the tropospheric NO2 column retrievals for clear-sky scenes.

Our GEMS tropospheric NO2 retrieval results show good agreement with various reference datasets including ground-based and satellite measurements. Furthermore, the hourly sampling and high spatial resolution of GEMS tropospheric NO2 columns demonstrate the capability for a detailed analysis of the diurnal evolution of NO2 burden and emission strengths over Asia from space.

How to cite: Seo, S., Valks, P., Heue, K.-P., Lutz, R., Hedelt, P., Loyola, D., Lee, H., and Kim, J.: Tropospheric NO2 column retrieval from the Geostationary Environment Monitoring Spectrometer (GEMS), EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6208, https://doi.org/10.5194/egusphere-egu24-6208, 2024.

09:30–09:40
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EGU24-17722
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On-site presentation
Hanlim Lee, Junsung Park, Hyunkee Hong, Jhoon Kim, Hyo-Jung Lee, Yeonjin Jung, Michel Van Roozendael, Caroline Fayt, Rokjin Park, Siwan Kim, Myong-Hwan Ahn, Daniel J. Jacob, Daewon Kim, Wonei Choi, Won-Jin Lee, Dong-Won Lee, Thomas Wagner, Andreas Richter, Nickolay A. Krotkov, and Lok N. Lamsal

Nitrogen oxides are key gas components of emissions from fossil-fuel combustion, are known to degrade air quality and have adverse health effects. Diurnal NO2 observations are crucial for enhancing our understanding of NOx emissions, lifetime, and chemistry. Geostationary Environment Monitoring Spectrometer (GEMS) has been providing hourly observations NO2 columns over Asia since November 2020. The latest NO2 version 3 products have significantly improved with updated air mass factors (AMFs) and the separation of stratospheric and tropospheric columns. To identify the dependency of the distribution on the time of the day, we investigated hourly tropospheric NO2 cycles of cities over Asia using GEMS measurements for the first time. The cities show similar diurnal concentration patterns with peaks in the morning and troughs in the afternoon, although the amplitude and specific times vary by city. The reduction rate of NO2 was influenced by the temporal dependence of the spatial distribution within and around cities. We also observed distinct NO2 diurnal patterns in certain industrial areas and cities where NOx emissions are thought to be controlled. To explain the location-dependent variations of the tropospheric NO2 columns, we compared the diurnal NO2 cycles obtained from the GEMS measurement with WRF-Chem models for some cities. In addition, estimated top-down NOx emissions from GEMS measurements are presented in comparison with bottom-up emission inventory, showing a smaller difference compared to the top-down emission from TROPOMI measurements. It is expected that hourly top-down NOx emissions using GEMS measurements can provide a useful information in improving the future performance of air quality modeling.

How to cite: Lee, H., Park, J., Hong, H., Kim, J., Lee, H.-J., Jung, Y., Roozendael, M. V., Fayt, C., Park, R., Kim, S., Ahn, M.-H., Jacob, D. J., Kim, D., Choi, W., Lee, W.-J., Lee, D.-W., Wagner, T., Richter, A., Krotkov, N. A., and Lamsal, L. N.: Diurnal characteristics of the NO2 columns observed over Asia from Geostationary Environment Monitoring Spectrometer (GEMS), EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-17722, https://doi.org/10.5194/egusphere-egu24-17722, 2024.

09:40–09:50
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EGU24-10891
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ECS
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On-site presentation
Kezia Lange, Andreas Richter, Tim Bösch, Bianca Zilker, John P. Burrows, Hartmut Bösch, Alexis Merlaud, Caroline Fayt, Martina M. Friedrich, Michel Van Roozendale, Steffen Ziegler, Simona Ripperger-Lukosiunaite, Thomas Wagner, Donghee Kim, Lim-Seok Chang, Hyunkee Hong, Kangho Bae, Chang-Keun Song, and Hanlim Lee

Nitrogen dioxide (NO2) is one of the most important air pollutants in the troposphere. NO2 can be retrieved by differential optical absorption spectroscopy measurements, which can be performed from various platforms.

Measurements from low earth satellites in sun-synchronous orbits provide a global overview and have already contributed valuable insights into understanding NO2. The latest instrument, TROPOMI, with its high spatial resolution of 3.5 x 5.5 km2, has given new opportunities to disentangle and analyze NOx sources. However, instruments in low-earth orbits usually provide only one measurement per day at each location.

To achieve diurnal cycles of trace gases, instruments on geostationary satellites are needed. The Korean instrument GEMS on GK2B, launched in February 2020, is the first instrument in geostationary orbit, delivering hourly daytime observations of NO2 with a spatial resolution of 3.5 x 8 km2 over a large part of Asia.

In this study, one year of tropospheric NO2 vertical column densities (VCDs) of the operational GEMS product are compared to the scientific GEMS IUP-UB NO2 VCD product, the operational TROPOMI NO2 VCD product, and ground-based DOAS measurements in Korea. The diurnal variation of NO2 observed by GEMS is compared to the diurnal variation observed at several ground-based MAX-DOAS stations located in different pollution regimes in Korea. The large variety of observed diurnal cycles are interpreted regarding potential influencing factors. In this respect, the ERA5 10 m wind data provide valuable insights into the influence of transport effects on the tropospheric NO2 VCD depending on station location and seasonality.

How to cite: Lange, K., Richter, A., Bösch, T., Zilker, B., Burrows, J. P., Bösch, H., Merlaud, A., Fayt, C., Friedrich, M. M., Van Roozendale, M., Ziegler, S., Ripperger-Lukosiunaite, S., Wagner, T., Kim, D., Chang, L.-S., Hong, H., Bae, K., Song, C.-K., and Lee, H.: Validation of GEMS tropospheric NO2 with the GEMS IUP-UB NO2 product, the TROPOMI NO2 product, and ground-based DOAS measurements, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10891, https://doi.org/10.5194/egusphere-egu24-10891, 2024.

09:50–10:00
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EGU24-15371
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On-site presentation
Jeonghyeon Park, Hanlim Lee, Hyunkee Hong, and Jhoon Kim

Sulfur dioxide emissions (SO2) from coal-fired power plants are known as a major contributor to air pollution. SO2 emitted into the atmosphere forms sulfate aerosols, leading to acid rain and causing damage to forests. Moreover, exposure to SO2 in humans can cause eye irritation and affect respiratory health. This study presents the column density variations of anthropogenic SO2 over Asia using the Geostationary Environment Monitoring Spectrometer (GEMS) onboard the Geostationary Korea Multi-Purpose Satellite-2B (GEO-KOMPSAT-2B). We investigated the diurnal variations of SO2 emissions from anthropogenic sources, such as coal-fired power plants in India. Retrieved SO2 columns from GEMS were compared with low-orbit satellites In the GEMS observation area, there was a tendency of low sensitivity in SO2 retrieval due to scattering by air molecules in the high geometry region, particularly at a high viewing zenith angle (VZA), resulting in high uncertainty in SO2 retrieval. We discuss these tendencies in detail through an investigation of SO2 retrieval sensitivity based on concentration and geometry.

How to cite: Park, J., Lee, H., Hong, H., and Kim, J.: Diurnal variations of anthropogenic sulfur dioxide over Asia observed from GEMS, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15371, https://doi.org/10.5194/egusphere-egu24-15371, 2024.

10:00–10:10
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EGU24-2169
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ECS
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On-site presentation
Yuhang Zhang, Jintai Lin, Jhoon Kim, Hanlim Lee, Junsung Park, Hyunkee Hong, Michel Van Roozendael, Francois Hendrick, Ting Wang, Pucai Wang, Qin He, Kai Qin, Yongjoo Choi, Yugo Kanaya, Jin Xu, Pinhua Xie, Xin Tian, Sanbao Zhang, Shanshan Wang, and Siyang Cheng and the Yuhang Zhang

Tropospheric vertical column densities (VCDs) of nitrogen dioxide (NO2) retrieved from sun-synchronous satellite instruments have provided abundant NO2 data for environmental studies, but such data are limited by retrieval uncertainties and insufficient temporal sampling (e.g., once a day). The Geostationary Environment Monitoring Spectrometer (GEMS) launched in February 2020 monitors NO­2 at an unprecedented hourly resolution during the daytime. Here we present a research product for tropospheric NO2 VCDs, referred to as POMINO-GEMS. We develop a hybrid retrieval method combining GEMS, TROPOMI and GEOS-CF data to generate hourly tropospheric NO2 slant column densities (SCDs). We then derive tropospheric NO2 air mass factors (AMFs) with explicit corrections for surface reflectance anisotropy and aerosol optical effects, through parallelized pixel-by-pixel radiative transfer calculations. Prerequisite cloud parameters are retrieved with the O2-O2 algorithm by using ancillary parameters consistent with those used in NO2 AMF calculations.

Initial retrieval of POMINO-GEMS tropospheric NO2 VCDs for June–August 2021 exhibits strong hotspot signals over megacities and distinctive diurnal variations over polluted and clean areas. POMINO-GEMS NO2 VCDs agree with the POMINO-TROPOMI v1.2.2 product (R = 0.98, and NMB = 4.9%) over East Asia, with slight differences associated with satellite viewing geometries and cloud and aerosol properties affecting the NO2 retrieval. POMINO-GEMS also shows good agreement with OMNO2 v4 (R = 0.87, and NMB = −16.8%) and GOME-2 GDP 4.8 (R = 0.83, and NMB = −1.5%) NO2 products. POMINO-GEMS shows small biases against ground-based MAX-DOAS NO2 VCD data at nine sites (NMB = –11.1%) with modest or high correlation in diurnal variation at six urban and suburban sites (R from 0.60 to 0.96). The spatiotemporal variation of POMINO-GEMS correlates well with mobile-car MAX-DOAS measurements in the Three Rivers’ Source region on the Tibetan Plateau (R = 0.81). Surface NO2 concentrations estimated from POMINO-GEMS VCDs are consistent with measurements from the Ministry of Ecology and Environment of China for spatiotemporal variation (R = 0.78, and NMB = –26.3%) as well as diurnal variation at all, urban, suburban and rural sites (R 0.96). POMINO-GEMS data will be made freely available for users to study the spatiotemporal variations, sources and impacts of NO2.

How to cite: Zhang, Y., Lin, J., Kim, J., Lee, H., Park, J., Hong, H., Van Roozendael, M., Hendrick, F., Wang, T., Wang, P., He, Q., Qin, K., Choi, Y., Kanaya, Y., Xu, J., Xie, P., Tian, X., Zhang, S., Wang, S., and Cheng, S. and the Yuhang Zhang: A research product for tropospheric NO2 columns fromGeostationary Environment Monitoring Spectrometerbased on Peking University OMI NO2 algorithm, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2169, https://doi.org/10.5194/egusphere-egu24-2169, 2024.

Coffee break
Chairpersons: Monika Kopacz, Jhoon Kim
10:45–11:05
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EGU24-11150
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solicited
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Highlight
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On-site presentation
Andrew Heidinger, Daniel Lindsey, Joanna Joiner, and Pamela Sullivan

NOAA’s Geostationary Operational Environmental Satellites (GOES) – R Series is now six years into its operational life with GOES-16 serving as GOES East, GOES-18 serving as GOES West, and GOES-17 in on-orbit storage.  The last GOES-R Series satellite (GOES-U) will launch in late April 2024.  Together the GOES-R satellites watch more than half the globe – from the west coast of Africa to New Zealand, and from Antarctica to the Arctic Ocean and will continue operations into the 2030s.

To ensure the continuity of these critical observations, NOAA has initiated the mission that will follow GOES-R, the Geostationary Extended Observations (GeoXO) program.  GeoXO will expand the weather-centric mission of GOES-R's imagers and lightning mappers by adding a hyperspectral IR sounder (GXS).  GeoXO will expand beyond the weather mission by including hyperspectral sensors that measure atmospheric composition and ocean colour.    

The first GeoXO launch is targeted for 2032 and the series is expected to be operational into the 2050s. This presentation provides a status on GOES-R operations and will also discuss GeoXO requirements, instrument status and  user readiness.

How to cite: Heidinger, A., Lindsey, D., Joiner, J., and Sullivan, P.: NOAA's Plans for its GEO Program from Today to 2050, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11150, https://doi.org/10.5194/egusphere-egu24-11150, 2024.

11:05–11:15
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EGU24-15076
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ECS
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On-site presentation
Vinod Kumar, Frank Rüthrich, Sebastian Gimeno Garcia, Myojeong Gu, Praveen Pandey, Malcolm Taberner, Rasmus Lindstrot, Marcel Dobber, Jochen Grandell, Berit Ahlers, Ben Veihelmann, Gregory Bazalgette Courreges-Lacoste, and Bojan Bojkov

The Copernicus Sentinel-4/UVN mission is Europe's contribution to the virtual constellation of air quality related sensors in geostationary orbit. It is planned to be launched in 2025 on board EUMETSAT’s Meteosat Third Generation – Sounder (MTG-S) platform and complement the Korean GEMS and American TEMPO instruments which are already in orbit over Asia and North America, respectively.

Following the space segment development and in-orbit commissioning under ESA responsibility, EUMETSAT will be responsible for operations, data processing and continuous calibration/validation of the Copernicus Sentinel-4 instruments and the derived operational products. The state-of-the-art UVN sounder onboard the MTG-S satellite covers the UV to NIR spectral range to provide hourly high spatial resolution measurements of several trace gas and aerosol concentrations and vertical profiles, crucial for monitoring atmospheric pollution. Other instruments (e.g., the Infrared Sounder, Lightning Imager and Flexible Combined Imager) onboard the MTG platforms will provide complementary information about temperature, clouds, and atmospheric constituents like water vapour.

In this presentation, we will cover the progress achieved at EUMETSAT for the Sentinel-4 UVN mission with respect to the readiness of the ground segment including the in-orbit calibration key data (CKD) generation. We will put forward the in-flight measurement sequences and manoeuvres that are meant to secure the quality of the generated L1 and L2 data. We will show the results of the system validation test performed with the EUMETSAT ground segment and Telespazio after the successful mechanical integration of the instrument onto the platform in September 2023. We will also present the ongoing preparation and planned activities concerning the development of tools and facilities for monitoring and operational validation.

How to cite: Kumar, V., Rüthrich, F., Garcia, S. G., Gu, M., Pandey, P., Taberner, M., Lindstrot, R., Dobber, M., Grandell, J., Ahlers, B., Veihelmann, B., Courreges-Lacoste, G. B., and Bojkov, B.: The Copernicus Sentinel-4 UVN mission: status and ongoing activities at EUMETSAT  , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15076, https://doi.org/10.5194/egusphere-egu24-15076, 2024.

11:15–11:25
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EGU24-13470
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On-site presentation
Pieternel Levelt, Eloise A Marais, Helen Worden, Wenfu Tang, Sara Martinez-Alonso, David Edwards, Henk Eskes, Pepijn Veefkind, Steve Brown, Collins Gameli Hodoli, Allison Felix Hughes, Barry Lefer, Drobot Sheldon, and Dan Westervelt

In the next few decades a large increase in population is expected to occur on the African continent, leading to a doubling of the current population, which will reach 2.5 billion by 2050. At the same time, Africa is experiencing substantial economic growth. As a result, air pollution and greenhouse gas emissions will increase considerably with significant health impacts to people in Africa. In the decades ahead, Africa’s contribution to climate change and air pollution will become increasingly important. The time has come to determine the evolving role of Africa in global environmental change.  

We are building an Atmospheric Composition Virtual Constellation, as envisioned by the Committee on Earth Observation Satellites (CEOS), by adding to our polar satellites,  geostationary satellites in the Northern Hemisphere : GEMS over Asia (launch 2022); TEMPO over the USA (launch 2023) and Sentinel 4 over Europe to be launched in the 2024 timeframe. However, there are currently no geostationary satellites envisioned over Africa and South-America, where we expect the largest increase in emissions in the decades to come.

In this paper the scientific need for geostationary satellite measurements over Africa will be described, partly based on several recent research achievements related to Africa using space observations and modeling approaches, as well as first assessments using the GEMS data over Asia, and TEMPO over the USA. Our ambition is to develop an integrated community effort to better characterize air quality and climate-related processes on the African continent. 

 

How to cite: Levelt, P., Marais, E. A., Worden, H., Tang, W., Martinez-Alonso, S., Edwards, D., Eskes, H., Veefkind, P., Brown, S., Gameli Hodoli, C., Felix Hughes, A., Lefer, B., Sheldon, D., and Westervelt, D.: Investigating expanding air pollution and climate change on the African continent, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13470, https://doi.org/10.5194/egusphere-egu24-13470, 2024.

11:25–11:35
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EGU24-11978
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ECS
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On-site presentation
Omar Nawaz, Susan Anenberg, Daniel Goldberg, Gaige Kerr, and Shobha Kondragunta

The Geostationary Extended Observations (GeoXO) satellite system is the intended successor to the GOES-R Series from NOAA, and it is planned to begin operating in the early 2030s. This next generation system will be outfitted with an Atmospheric Composition Instrument (ACX) that will provide hourly observations of tropospheric trace gases and aerosols including pollutants associated with poor health; the highest priority factors for air quality monitoring in this new system include some of the pollutants most hazardous to human health such as ozone (O3), particulate matter (PM), and nitrogen dioxide (NO2). GeoXO will be a geostationary satellite with multiple overpasses of the United States per day in contrast to the TROPOspheric Monitoring Instrument (TROPOMI) on board the sun-synchronous polar-orbiting Sentinel-5P satellite. This satellite – launched by the European Space Agency – overpasses each place on Earth 1-2 times per day around 1:30 PM.

In this project, we evaluate the influence that GeoXO remote sensing capabilities could have for assessing air pollution-related health impacts in the United States. We do this by comparing the health effects associated with predicted NO2 exposure at TROPOMI overpass times to predicted NO2 exposure during daylight hours. To conduct this comparison, we develop a land-use regression (LUR) model that predicts hourly surface-level NO2 data per month in the United States using monthly oversampled TROPOMI NO2 columns, static land-use data including roads, population density, built environment and elevation differential, and hourly meteorological reanalysis data of temperature, boundary layer height, precipitation, and total liquid water column amount. We fuse these variables using different regression techniques including both a lasso and multi-layer perceptron regression to predict monthly surface-level NO2 during daylight hours.

We compare the predicted hourly surface-level NO2 to NO2 derived just at TROPOMI overpass time – approximately 1:30 PM – to quantify how geostationary observations could better reveal how populations are exposed to pollutants like NO2 than exposures that are reliant on data from a single overpass time. We additionally investigate the health disparity introduced from this assumption by estimating the new pediatric asthma cases and premature mortality associated with hourly daylight NO2 exposure versus NO2 exposure from just a single overpass time. Additionally, we discuss how data from the new TEMPO instrument – that was launched by NASA in 2023 – will influence and improve this TROPOMI-derived LUR.

How to cite: Nawaz, O., Anenberg, S., Goldberg, D., Kerr, G., and Kondragunta, S.: Development of a Land-Use Regression of Hourly Surface NO2 in preparation for GeoXO Atmospheric Composition Data, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11978, https://doi.org/10.5194/egusphere-egu24-11978, 2024.

11:35–11:45
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EGU24-11547
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On-site presentation
Hai Zhang, Shobha Kondragunta, and Pubu Ciren

TEMPO (Tropospheric Emissions: Monitoring Pollution) is a geostationary ultraviolet and visible spectrometer to monitor major air pollutants over north America.   The instrument was launched in April 2023 and the L1b data were available since October 17, 2023.   The sensor’s coverage of the O2B band (688nm) enables us to retrieve aerosol layer height (ALH).  At National Oceanic and Atmospheric Administration (NOAA) in the United States, we developed an algorithm to retrieve aerosol optical depth, aerosol type, and aerosol layer height from the TEMPO data.   Our approach involves the creation of a 0.05x0.05 degree database of surface reflectances for various bands, accounting for solar-satellite geometry.   To retrieve AOD, AOD and surface reflectance are varied until a solution is found that gives a minimum residual between derived and prescribed spectral surface reflectance ratio between blue and red bands. The surface reflectances at the O2B band are derived from retrievals of other bands using the surface reflectance ratio database. The ALH is determined by minimizing differences between the measured 688/670 bands' top-of-atmosphere (TOA) reflectance ratio and the calculated ratio.

The retrieval algorithm was tested using the August-September 2020 TROPOMI data as a proxy over CONUS region where heavy smoke was observed.  The results show good AOD retrieval performance compared to ground-based Aerosol Robotic Network (AERONET) AOD:  the retrieved AOD has a correlation of 0.68, a bias of 0.11 and RMSE of 0.37 with respect to AERONET AOD.   Comparing to CALIOP ALH, the retrieved ALH has a correlation of 0.67, a bias of 0.91 km and an RMSE of 2.59 km.  Preliminary AOD retrieval from TEMPO data also demonstrates favorable agreement with AOD from the ABI instrument onboard GOES-East.

Disclaimer: The scientific results and conclusions, as well as any views or opinions expressed herein, are those of the author(s) and do not necessarily reflect those of NOAA or the Department of Commerce.

How to cite: Zhang, H., Kondragunta, S., and Ciren, P.: TEMPO Aerosol Retrieval Algorithm, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11547, https://doi.org/10.5194/egusphere-egu24-11547, 2024.

11:45–11:55
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EGU24-16468
|
Highlight
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On-site presentation
Ronald van der A, Jieying Ding, and Henk Eskes

Since the launch of the Sentinel 5P satellite, NO2 observations have become available with a resolution of 3.5x5 km, which allows for the monitoring of NOx emissions at the scale of city districts and industrial facilities. For Europe, emissions are annually reported for country totals and large industrial facilities and these are made publicly available via the European Environmental Agency . Satellite observations can provide independent and more timely information on NOx and NH3 emissions. A new version of the inversion algorithm DECSO (Daily Emissions Constraint by Satellite Observations) has been developed for deriving NOx and NH3 emissions for Europe on a daily basis, averaged to monthly mean maps. These are based on observations of TROPOMI (Sentinel 5p) and CrIS. In a newly developed post-processing step anthropogenic NOx emissions are separated from soil NOx emissions. These satellite-derived emissions from DECSO have been compared for industrial locations, cities and country totals to the officially reported European emissions and spatial-temporal disaggregated emission inventories like CAMS. In addition, a branch of DECSO is developed to derive hourly NOx emissions. This new approach has been demonstrated for a high latitude region (around 70 degree North) in summer time, when multiple orbits of Sentinel 5P cover the same location on a single day.

How to cite: van der A, R., Ding, J., and Eskes, H.: NOx emissions over Europe from Sentinel 5P and towards Sentinel 4, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16468, https://doi.org/10.5194/egusphere-egu24-16468, 2024.

11:55–12:05
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EGU24-19066
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On-site presentation
Zoi Paschalidi, Antje Inness, Johannes Flemming, and Roberto Ribas

The advent of new satellite technologies has ushered in a promising era for trace gas and aerosol observations, offering advanced data quality and temporal resolution. Low Earth Orbit (LEO) satellites have markedly heightened our ability to generate accurate air quality forecasts. The Geo-Ring, comprising the geostationary satellites of GEMS over East Asia, TEMPO over North America and the imminent Copernicus Sentinel-4 over Europe, promises to unlock unprecedented possibilities in atmospheric monitoring.

The Horizon Europe CAMEO (CAMS EvOlution) project coordinated by the European Centre for Medium-Range Weather Forecasts (ECMWF) is dedicated to upgrading the quality and efficiency of the Copernicus Atmosphere Monitoring Service (CAMS). By integrating new satellite retrievals of atmospheric composition into the Integrated Forecast System (IFS), CAMEO aims to augment the data assimilation and inversion capabilities of the global and regional CAMS production system, thereby improving the quality of atmospheric composition analyses and forecasts.

During the initial year of CAMEO, the IFS was prepared to assimilate geostationary data alongside polar orbiting retrievals. This integration aims to optimise air quality modeling and provide a more accurate depiction of the diurnal cycle of O3, a pivotal component of atmospheric composition. The assimilation of a substantial volume of geostationary air quality data into the CAMS system poses challenges, necessitating the further development of the super observation software. Following updates to the IFS model and additional technical improvements, experiments were conducted using IFS version CY48R1 and the more recent CY49R1 to monitor and evaluate the Near Real-Time v.2. GEMS NO2 and O3 observations from April to December 2023.

Preliminary results reveal a notable positive bias in the GEMS NO2 tropospheric column data, consistently exceeding the model's first-guess and TROPOMI satellite observations. In urban and populated areas like Beijing, while similarities in structures and patterns of NO2 data between GEMS and TROPOMI are identified, significant discrepancies persist. The GEMS NO2 data also exhibit noticeable noise attributed to factors such as stratospheric correction, cloud treatment, and unspecified measurement errors. In the case of O3, GEMS demonstrates better performance than NO2 when compared to TROPOMI and the model's first guess, with no significant bias identified. Nonetheless, the current data version features large O3 gaps due to quality control measures. These findings offer crucial insights for refining the assimilation of geostationary air quality data, thereby enhancing forecasting and monitoring of atmospheric composition in CAMS. Upcoming releases, such as v.3. GEMS data, are anticipated to address the identified data issues, further amending the usefulness of the GEMS data for air quality applications. 

How to cite: Paschalidi, Z., Inness, A., Flemming, J., and Ribas, R.: Integrating Geostationary Satellite Data for Advanced Air Quality Modeling: Evaluating GEMS NRT Observations within the ECMWF’s IFS system for the HE CAMEO Project, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-19066, https://doi.org/10.5194/egusphere-egu24-19066, 2024.

12:05–12:15
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EGU24-21648
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ECS
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On-site presentation
Analysis of emission characteristics of urban areas in East Asia based on the relationship between NO2 and CO2 derived from satellite data
(withdrawn)
Jaemin Kim and Yungon Lee
12:15–12:25
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EGU24-14053
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On-site presentation
Brian McDonald, Owen Cooper, Carsten Warneke, Rebecca Schwantes, Andrew Rollins, Sunil Baidar, and Steven Brown and the AEROMMA / CUPiDS cal/val team

The North American component of the Geo-Ring for Air Quality, the Tropospheric Emissions: Monitoring of Pollution (TEMPO) instrument, began collecting measurements on August 2, 2023. Multiple airborne field-intensives were conducted over the US during this TEMPO first-light period, including the NOAA Atmospheric Emissions and Reactions Observed from Megacities to Marine Areas (AEROMMA) and Coastal Urban Plume Dynamics Study (CUPiDS) campaigns, coordinated with the NASA Synergistic TEMPO Air Quality Sciences (STAQS) campaign. The North American cities targeted included New York City, Los Angeles, Chicago, and Toronto. Here, we present an overview of the AEROMMA / CUPiDS collected summer 2023 datasets, relevant for calibration and validation activities of TEMPO, including for ozone (O3), nitrogen dioxide (NO2), formaldehyde (CH2O), sulfur dioxide (SO2), aerosol optical depth (AOD), and aerosol layer height (ALH). Ground-based lidar and airborne in-situ vertical profiling by the NASA DC-8 and NOAA Twin Otter aircraft are available for evaluating TEMPO Level 2 O3 profile products (tropospheric and 0-2 km column retrievals). Airborne measurements of NO2 (photolytic conversion of NO2 into NO followed by laser-induced fluorescence, cavity enhanced spectroscopy, and multi-axis differential optical absorption spectroscopy (MAX-DOAS)) are available for evaluating TEMPO Level 2 NO2 vertical column density products. Airborne measurements of formaldehyde and glyoxal (in-situ and MAX-DOAS remote sensing) can be evaluated similarly as other volatile organic compounds (VOCs). Lastly, a wide array of aircraft-based in-situ measurements of composition, size distribution, optical properties can be utilized to derive aerosol optical depth (AOD) and aerosol extinction profiles for evaluating TEMPO AOD and ALH products, along with TROPOMI and stereoscopic aerosol layer height products from GOES-16/18. Preliminary evaluation of TEMPO NO2 will be presented as an initial calibration / validation test case, employing best practices to facilitate direct comparisons between airborne data with TEMPO Level 2 observations.

How to cite: McDonald, B., Cooper, O., Warneke, C., Schwantes, R., Rollins, A., Baidar, S., and Brown, S. and the AEROMMA / CUPiDS cal/val team: Overview of Airborne Field Campaigns under TEMPO for Calibration and Validation of Trace Gas and Aerosol Products, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14053, https://doi.org/10.5194/egusphere-egu24-14053, 2024.

Posters on site: Wed, 17 Apr, 16:15–18:00 | Hall X5

Display time: Wed, 17 Apr, 14:00–Wed, 17 Apr, 18:00
Chairpersons: Jhoon Kim, Barry Lefer
X5.119
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EGU24-1132
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ECS
Tianlang Zhao, Jingqiu Mao, Xiaoyi Zhao, Elena Spinei Lind, and Thomas Hanisco

Formaldehyde (HCHO) serves as an important proxy for emissions of volatile organic compounds (VOCs) and their subsequent photochemistry affecting air quality and climate. Understanding HCHO diurnal variability is essential to accurately represent emissions, chemistry, and planetary boundary layer (PBL) mixing in chemical transport models (CTMs). Here we compare HCHO diurnal variations from Pandora Global Network (PGN), GEOS-CF (0.25°x0.25°) and GEOS-Chem (2°x2.5°) CTMs at 55 sites, to characterize the HCHO diurnal patterns in urban and rural sites over North America (NA), Europe (EU) and East Asia (AS) in 2021-2022 summers. We find that HCHO total column (HCHOcol) from GEOS-CF model shows a comparable stronger diurnal variability (quantified by relative amplitude) with that from PGN measurements, which is lower in GEOS-Chem (10-200% bias in late afternoon). While models and PGN show comparable HCHOcol at rural sites (e.g., ChapelHillNC and DearbornMI), PGN shows significantly higher (a factor of 2 - 3) local noon HCHOcol in some urban areas (e.g., Busan and Bangkok), suggesting missing Volatile Organic Compounds (VOCs) emissions in the models. We further examine the relationship between HCHOcol and HCHO near-surface concentration (HCHOsurf). While both model and PGN show a linear relationship (p<0.05) between HCHOcol and HCHOsurf in most of EU sites, they show larger discrepancies over a majority of NA and AS sites with a nonlinear relationship, suggesting model issues in PBL mixing. Our systematic evaluation of HCHO diurnal variability, using a global network of ground-based measurements and a global CTM, provides new insights into improving emissions, chemistry and PBL mixing in current models.

How to cite: Zhao, T., Mao, J., Zhao, X., Lind, E. S., and Hanisco, T.: Global evaluation of HCHO summertime diurnal variability using Pandonia Global Network (PGN), EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1132, https://doi.org/10.5194/egusphere-egu24-1132, 2024.

X5.120
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EGU24-3198
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ECS
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Highlight
Paul Palmer, Fei Yao, Daven Henze, Rokjin Park, and Gitaek Lee

Conventional bottom-up emission inventories for atmospheric pollutants suffer from infrequent updates and substantial uncertainties. The Geostationary Environment Monitoring Spectrometer (GEMS) now provides columnar measurements for key atmospheric pollutants, including tropospheric O3, aerosols, and their precursors (NO2, SO2, HCHO, and glyoxal), on an hourly basis throughout the sunlit day, with a nominal spatial resolution of a few kilometres. These satellite data represent new constraints to determine top-down estimates of air pollutant emissions, providing complementary information to the bottom-up inventories. Collectively, bottom-up and top-down information provide better actionable information to develop more effective air pollution mitigation strategies. To demonstrate this, we infer emissions of nitrogen oxides (NOx=NO+NO2) across Asia from GEMS column observations of NO2 by using the adjoint of GEOS-Chem atmospheric chemical transport model. We explore diurnal variations in NOx emissions across diverse Asian cities, assessing their implications for emission policy formulation. Additionally, we conduct a critical evaluation of our top-down estimates of NOx emissions by comparing model simulations of NO2, driven by these estimates, with independent observations of NO2 throughout the region.

How to cite: Palmer, P., Yao, F., Henze, D., Park, R., and Lee, G.: Estimating Hourly Nitrogen Oxide Emissions Across Asia Using Data from the GEMS Geostationary Satellite, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-3198, https://doi.org/10.5194/egusphere-egu24-3198, 2024.

X5.121
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EGU24-4215
Blended LEO-GEO Tropospheric Column NO2 for Air Quality Applications
(withdrawn)
Zigang Wei, Shobha Kondragunta, and Kai Yang
X5.122
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EGU24-5000
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ECS
Yeeun Lee, Myoung-Hwan Ahn, Mina Kang, Mijin Eo, Kyung-jung Moon, and Jhoon Kim

To meet the growing demand for diurnal information on trace gases and aerosols in the atmosphere, a series of satellite programs consisting of the GEO-ring (GEO-constellation) has been initiated. The series started off with the launch of the Geostationary Korean Multi-Purpose Satellite-2B (GK-2B) in 2020, followed by the Tropospheric Emissions: Monitoring of Pollution (TEMPO) in 2023 and the expected launch of Sentinel-4 in 2024. Onboard GK-2B, the Geostationary Environment Monitoring Spectrometer (GEMS) is dedicated to observing the Asia-Pacific region, providing spectral radiance in the 300-500 nm range to obtain specific spectral information on absorption and scattering lines. To evaluate the post-launch data quality of GEMS, especially for Level 1B products, this study utilizes inter-calibration approaches with the measurements from geostationary as well as polar orbit satellite sensors. The evaluation comprises two parts to address current and potential calibration issues of GEMS: 1) applying the ray-matching approach with the Advanced Meteorological Imager (AMI) onboard the twin satellite, GK-2A; and 2) employing vicarious calibration with polar orbit satellite sensors, Tropospheric Monitoring Instrument (TROPOMI) and Ozone Mapping and Profiler Suite (OMPS), targeting stable scenes on Earth. In the first approach, AMI and GEMS demonstrate a strong agreement, showing a high correlation coefficient exceeding 0.9 regardless of measurement time and season. However, the GEMS Level 1B product reveals a positive bias when compared to AMI, 10% and 5% for radiance and reflectance, respectively. The GEMS measurements also display distinct seasonal and diurnal variations compared to AMI, which needs further investigation considering that the variations could influence the Level 2 retrieval products of GEMS. In the second approach, GEMS shows residual stray light effect especially at the shorter wavelengths (below 320 nm) and quantitatively, GEMS shows a consistent bias with the first approach, when compared to TROPOMI and OMPS. The paper aims to provide valuable insights for the efficient monitoring of sensors under comparable conditions with GEMS, along with remaining challenges emphasizing the need for refined approaches to address the radiometric calibration accuracy of the GEMS Level 1B product.

How to cite: Lee, Y., Ahn, M.-H., Kang, M., Eo, M., Moon, K., and Kim, J.: Evaluation of inter-calibration approaches for the GEMS Level 1B product, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-5000, https://doi.org/10.5194/egusphere-egu24-5000, 2024.

X5.123
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EGU24-6497
Minseok Kim, Jhoon Kim, Hyunkwang Lim, Seoyoung Lee, Yeseul Cho, Yun-Gon Lee, Sujung Go, and Kyunghwa Lee

Aerosol optical depth (AOD) data fusion for aerosol datasets obtained from the Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT; GK) series was conducted through the application of both statistical and deep neural network (DNN)-based methodologies. The GK mission incorporates the Advanced Meteorological Imager (AMI) on GK-2A, as well as the Geostationary Environment Monitoring Spectrometer (GEMS) and Geostationary Ocean Color Imager-II (GOCI-II) on GK-2B. The statistical fusion approach rectified biases in each aerosol product by assuming a Gaussian error distribution. Utilizing Maximum Likelihood Estimation (MLE) fusion, the technique accounted for pixel-level uncertainties by weighting the root-mean-square error of each AOD product for individual pixels. A DNN-based fusion model was trained to align with Aerosol Robotic Network AOD values through fully connected hidden layers. The results of both statistical and DNN-based fusion generally surpassed the performance of individual GEMS and AMI AOD datasets in East Asia (R = 0.888; RMSE = −0.188; MBE = −0.076; 60.6% within EE for MLE AOD; R = 0.905; RMSE = 0.161; MBE = −0.060; 65.6% within EE for DNN AOD). Particularly, focusing on AOD around the Korean peninsula, encompassing all aerosol products, yielded significantly improved outcomes (R = 0.911; RMSE = 0.113; MBE = −0.047; 73.3% within EE for MLE AOD; R = 0.912; RMSE = 0.102; MBE = −0.028; 78.2% within EE for DNN AOD). The DNN AOD demonstrated effective handling of the rapid increase in uncertainty at higher aerosol loadings. Overall, the fusion AOD, particularly DNN AOD, closely matched with the performance of the Moderate Resolution Imaging Spectroradiometer Dark Target algorithm, exhibiting slightly less variance and a negative bias. Both fusion algorithms stabilized diurnal error variations and provided additional insights into hourly aerosol evolution.

How to cite: Kim, M., Kim, J., Lim, H., Lee, S., Cho, Y., Lee, Y.-G., Go, S., and Lee, K.: Statistical and neural network-based AOD data fusion with Geostationary satellite instruments: GEMS, AMI, and GOCI-II., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6497, https://doi.org/10.5194/egusphere-egu24-6497, 2024.

X5.124
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EGU24-6864
Yujin Chai, Jhoon Kim, and Yeseul Cho

Aerosols play a crucial role in affecting air quality, climate change, and public health. They show significant differences in concentration across regions and fluctuate over time. Therefore, it's essential to examine long-term changes in aerosol levels and analyze the associated patterns to improve air quality and advance climate change research. This study specifically looks at the long-term trends of Aerosol Optical Depths (AODs) in Asia and compares the trends of Fine-mode Aerosol Optical Depths (FAODs) and Coarse-mode Aerosol Optical Depths (CAODs). AOD indicates how much solar radiation is blocked by aerosols in the atmosphere, serving as an important measure of aerosol quantity. The Aerosol Robotic Network (AERONET) is a ground-based observation network providing detailed information on aerosol properties globally. AERONET has extensive long-term data and ensures continuous observations through daily measurements. Consequently, we analyzed the prolonged trends of AOD using AERONET data. To understand changes in aerosol quantity from human-made sources and natural events like yellow dust, we examined trends in Coarse-mode Aerosol Optical Depths (CAODs) and Fine-mode Aerosol Optical Depths (FAODs), categorizing aerosols by size. By comparing CAODs and FAODs, we identified consistent trends in the analysis across countries or sub-regions. This analysis highlights significant regional differences in aerosol concentrations, influenced by factors such as the local environment and air quality policies of each country.

How to cite: Chai, Y., Kim, J., and Cho, Y.: Analysis of Long-term Trends in Asian Aerosol Optical Depth Using Ground-based Observational Data, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6864, https://doi.org/10.5194/egusphere-egu24-6864, 2024.

X5.125
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EGU24-6890
Gyo-Hwang Choo, Hyunkee Hong, Goo Kim, and Sang-Min Kim

Nitrogen dioxide (NO2) is one of the most important trace gases in the atmosphere, mainly produced from the combustion of fossil fuels, thermal power plants, transportation activities, and natural sources. Short-term exposure to high concentrations of NO2 in the atmosphere can be problematic as it can cause adverse effects on human health, such as respiratory diseases, and exacerbate the symptoms of those already suffering from lung or heart conditions. The TROPOspheric Monitoring Instrument (TROPOMI) has limitations in tracking diurnal variation. TROPOMI scans South Korea only once daily. On the other hand, the Geostationary Environment Monitoring Spectrometer (GEMS) onboard the GEO-KOMPSAT 2B satellite was designed to continuously observe air pollutants, including NO2, SO2, HCHO, O3, and aerosols. The spatiotemporal pattern of total NO2 vertical column density (VCD) from GEMS shows spatial variability and the diurnal cycle of NO2. In this study, monthly averaged data were generated to compare GEMS, TROPOMI, and ground observation data. 
The research results showed that the monthly total NO2 VCD from GEMS and surface NO2 mixing ratio exhibited greater temporal variations compared to the total NO2 VCD from TROPOMI. Additionally, the monthly NO2 values were higher in spring and winter, while lower in summer and autumn. GEMS effectively detected the characteristics of NO2 in South Korea, including the distinct weekday-weekend effect, which is similar to ground observations. In the analysis of diurnal variations, GEMS exhibited a continuous increase in NO2 values from 9:45 to 14:45 KST for January. In contrast, other months showed a diurnal cycle. The comparison between GEMS and ground data showed a moderate level of correlation (R=0.77), while TROPOMI exhibited a higher correlation (R=0.81). However, the slope of GEMS was closer to the 1:1 line. GEMS demonstrated a good correlation, particularly in urban observation sites where total NO2 VCD was relatively high throughout the year. However, it showed a lower correlation in port observation sites.

How to cite: Choo, G.-H., Hong, H., Kim, G., and Kim, S.-M.: Comparison of GEMS and TROPOMI NO2 observations with ground-based measurements over South Korea, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6890, https://doi.org/10.5194/egusphere-egu24-6890, 2024.

X5.126
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EGU24-6929
TEMPO Aerosol Detection Product
(withdrawn)
Pubu Ciren and Shobha Kondragunta
X5.127
|
EGU24-7138
Joowan Kim, Subin Oh, Juseon Bak, Ja-Ho Koo, Sang Seo Park, and Won-Jin Lee

This study presents an comprehensive evaluation of Geostationary Environment Monitoring Spectrometer (GEMS) ozone products using daily ozonesonde data measured during the Asian Summer Monsoon Chemical and Climate Impact Project (ACCLIP). The analysis uses a total of 38 ozonesonde measurements along with atmospheric reanalysis to better understand ozone variability and circulation impacts during the Asian summer monsoon. It shows significant variability of tropospheric and lower stratospheric ozone related to convective activities associated with the Asian monsoon rainband and strong anticyclone in the upper troposphere and lower stratosphere (a.k.a. Tibet high). The comparison of the ozonesonde data and GEMS ozone products reveals GEMS’s capability to capture these variabilities, and also highlights its potential utility in the studies of chemical transport and regional-scale air quality in Asia.

How to cite: Kim, J., Oh, S., Bak, J., Koo, J.-H., Park, S. S., and Lee, W.-J.: GEMS ozone product evaluation using ozonesonde measurements during the ACCLIP campaign, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7138, https://doi.org/10.5194/egusphere-egu24-7138, 2024.

X5.128
|
EGU24-9883
Ronny Lutz, Victor Molina Garcia, Athina Argyrouli, Fabian Romahn, and Diego Loyola

The Geo-Ring for Air Quality consists of three geostationary instruments to monitor the air quality and atmospheric composition over large parts of the northern hemisphere with a high temporal cadence. These are the Korean Geostationary Environmental Monitoring Spectrometer (GEMS, launched 2020), the US-American Tropospheric Emissions: Monitoring of Pollution (TEMPO, launched 2023) and the European UVN spectrometer on Sentinel-4 (S4, to be launched 2025). These geostationary instruments can benefit substantially from the knowledge gained by heritage LEO missions like OMI/Aura, GOME-2/MetOP-ABC and TROPOMI/Sentinel-5P and provide a great synergistic potential to combine the global spatial coverage of the LEO missions with the regional high temporal coverage of the GEO missions.
Although trace gases and greenhouse gases are the main focus of the Geo-Ring for Air Quality, knowledge about the presence and characteristics of clouds is a pre-requisite for an accurate retrieval of the aforementioned species for air quality. On top of that, clouds by themselves are an important parameter for climatological studies and applications via their importance and impact on the Earth’s radiation budget.
In this contribution, we present the operational cloud product developed for Sentinel-4. It is based on the algorithms called OCRA (Optical Cloud Recognition Algorithm) and ROCINN (Retrieval of Cloud Information using Neural Networks), which are already being in operational use for several heritage missions like GOME-2 and TROPOMI. The main retrieval parameters are cloud fraction, cloud mean height, cloud top height, cloud optical thickness and cloud albedo, achieved via two different cloud models: a simplified Lambertian reflector approach (CRB, clouds as reflecting boundaries) and a physically more realistic scattering layer approach (CAL, clouds as layers). As a testing scenario for the Seninel-4 development, the OCRA algorithm has been adapted to the GEMS instrument. We will show application results and also further comparisons of the S5P OCRA/ROCINN cloud product with the GEMS cloud product.

How to cite: Lutz, R., Molina Garcia, V., Argyrouli, A., Romahn, F., and Loyola, D.: A cloud product for Sentinel-4 to support the Geo-Ring for Air Quality, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-9883, https://doi.org/10.5194/egusphere-egu24-9883, 2024.

X5.129
|
EGU24-12496
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ECS
Lukas Fehr, Daniel Zawada, Doug Degenstein, and Adam Bourassa

Geostationary measurements of trace gases provide valuable air quality data at unprecedented temporal scales. At high latitudes challenges begin to arise, such as lines of sight that stray from nadir, and (during winter) limited sunlight and pervasive snow cover. Motivated by the desire to fully take advantage of TEMPO (Tropospheric Emissions: Monitoring of Pollution) measurements over Canada, we investigate one of these issues: snow.

A key challenge with measurements over snowy scenes is the similar reflectivity of snow and clouds. Trace gas algorithms rely on the contrast between surface and cloud reflectivities to estimate an effective cloud fraction which is necessary to characterize the light path for cloudy scenes. This snow-cloud ambiguity ultimately compromises the data quality, denying the opportunity to capitalize on the potential increase in surface sensitivity offered by the high reflectivity of snow. Here we present an algorithm that simultaneously uses O2-O2 and oxygen B-band absorption to extract cloud data for trace gas retrievals while reducing dependency on the surface-cloud reflectivity contrast.

How to cite: Fehr, L., Zawada, D., Degenstein, D., and Bourassa, A.: Cloud characterization for trace gas retrievals over snow using O2-O2 and oxygen B-band absorption, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12496, https://doi.org/10.5194/egusphere-egu24-12496, 2024.

X5.130
|
EGU24-13271
Julian Meyer-Arnek, Frank Baier, Jonas Müller, Andre Twele, Torsten Heinen, Stephan Kiemle, and Eberhard Mikusch

DLR’s EOC Geoservice (https://geoservice.dlr.de) is operational for than 10 years and provides access to a multitude of operational EO and EO-related products via OGC-compliant interfaces WMS and WCS. ISO metadata on data collections and products are exposed via standard compliant catalogue services. In order to support the currently arising needs for interoperability and for the analysis of long EO timeseries (big data analytics), innovative technologies and interfaces for data discovery, access and analysis were investigated and are now implemented. In particular to facilitate improved EO-(meta-)data discovery, the STAC API (SpatioTemporal Asset Catalogue) is provided by the EOC Geoservice besides the “traditional” OpenSearch API.

STAC is an extremely powerful interface: It supports simplified “human” discovery of EO data collections and dedicated EO products in the webbrowser (to identify individual scenes or products) as well as powerful machine-to-machine-interfaces for EO-product discovery according to spatio-temporal selection criteria.

The STAC-API allows to easily access published datasets via data cube concepts, supporting direct integration in operational processing environments or into interactive Jupyter notebooks. In Python, discovery and access of data products according to spatio-temporal user requirements can be implemented in only a few lines of simple code.

All required interpolation and data slicing is completely performed on the server. This supports perfect interoperability: EO-products originated from different providers can simply be interpolated onto an identical spatio-temporal grid for further analysis on the client side. Only preprocessed (sliced and/or interpolated) data is transferred to the client, significantly reducing required bandwidth.

Among the suite of value-added EO-products available at the EOC Geoservice are a variety of atmosphere-related Level-3 EO-products from GOME-2/MetOp-A/B/C as well as innovative Level 3 trace gas, cloud and radiation products derived from Sentinel-5P/TROPOMI observations. This also accounts for assimilated trace gas concentrations based on Sentinel-5P-observations. This hourly Level 4-product is generated by the POLYPHEMUS/DLR-system. In addition, value-added EO-products such as the World Settlement Footprint (WSF) can be accessed at EOC Geoservice: They allow correlation to spatio-temporal patterns of anthropogenic activity.

As soon as they become available, Level 3 and Level 4 EO-products from Sentinel 4 (geostationary) and Sentinel 5 (LEO) will become discoverable via EOC Geoservice’s STAC interface.

With respect to STAC, most recent improvements (including feasibility studies, development and implementation into EOC Geoservice’s operational environment) have been funded in the framework of the ESA GSTP-project “Technologies for the Management of Long EO Data Time Series” (LOOSE). Integration of innovative interfaces into an operational data discovery, access and analysis service (EOC Geoservice and DataCube) for the Copernicus atmospheric composition missions Sentinel-5P, Sentinel-4 and Sentinel-5 is supported by the DLR programmatic project “Innovative Produktentwicklung zur Analyse der Atmosphärenzusammensetzung” (INPULS).

How to cite: Meyer-Arnek, J., Baier, F., Müller, J., Twele, A., Heinen, T., Kiemle, S., and Mikusch, E.: Explore and Analyse Atmospheric Composition – perform multi-domain correlations with Innovative Online Data Access Services (Data Cubes), EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13271, https://doi.org/10.5194/egusphere-egu24-13271, 2024.

X5.131
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EGU24-13808
Jeewoo Lee, Jhoon Kim, and Seoyoung Lee

Since its launch in 2020, the GOCI-II (Geostationary Ocean Color Imager-II) onboard the GEO-KOMPSAT-2B (GK-2B) satellite has provided aerosol products using the Yonsei aerosol retrieval (YAER) algorithm (Lee et al., 2023). The GOCI-II YAER algorithm retrieves aerosol optical depth (AOD) at 550 nm using an inversion algorithm with a precalculated look-up table (LUT) over UV to near-IR wavelengths. The surface reflectance database is collected using the Cox and Munk method (Cox and Munk, 1954) and the minimum reflectance technique (Hsu et al., 2004) over ocean and land, respectively. The minimum value of Lambertian Equivalent Reflectance (LER) of each wavelength is designated as the surface reflectance at each pixel. The 550 nm AOD is calculated by averaging the weighted AOD of two aerosol types that minimize the standard deviation among the six pre-assumed types.

In this study, we improved the performance of the GOCI-II YAER algorithm by renewing the surface reflectance database and the aerosol type selection phase. First, we validated the spectral AOD of the YAER algorithm to that of the AErosol RObotic NETwork (AERONET) to test the accuracy fluctuations between each wavelength. The wavelength with its AOD showing the highest consistency with that of AERONET was selected as the standard of the minimum reflectance composition. Second, aerosol type selection was modified to consider more information on the aerosol optical properties. As a result, the improved product showed better validation statistics when compared to AERONET AOD in terms of % within expected error (EE), the correlation coefficient, and the root mean squared error (RMSE). The improved GOCI-II aerosol products can help the air quality policymakers and broaden our knowledge of distribution of aerosols over Northeast Asia.

How to cite: Lee, J., Kim, J., and Lee, S.: Aerosol Type Classification and Surface Reflectance Optimization for GOCI-II Aerosol Retrieval., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13808, https://doi.org/10.5194/egusphere-egu24-13808, 2024.

X5.132
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EGU24-14190
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ECS
Bo-Ram Kim, Gyuyeon Kim, Minjeong Cho, and Yong-Sang Choi

The cloud retrieval algorithm used by the Geostationary Environment Monitoring Spectrometer (GEMS) to monitor atmospheric conditions over East Asia is presented in this paper. In the UV-VIS range, cloud increase radiance and shorten the beam bath length. We defined cloud products as the effective cloud fraction, which represents the reflecting impact of clouds, and the cloud centroid pressure, which indicates the height at which clouds reflect. The absorption in the O2-O2 absorption band, which results from collisions of oxygen molecules in the atmosphere with generally constant concentrations, is used by the algorithm to determine the characteristics of clouds. Input data include observed radiance, irradiance, observation geometry, and surface information (reflectance and pressure). We evaluate the algorithm’s sensitivity to each input data. Moreover, we perform a monthly comparison and analysis of the actual cloud retrieval products acquired from GEMS with TROPOMI (Tropospheric Monitoring Instrument), investigating the algorithm's seasonality. Additionally, events showcasing prominent cloud features, such as high concentrations of air pollutants, typhoons, and sea fog, are chosen for performance evaluation through comparisons between GEMS results and those from TROPOMI, Advanced Meteorology Imager, and Cloud-Aerosol Lidar with Orthogonal Polarization. In comparing GEMS cloud retrieval results with those of other satellites, distinct variations based on land and ocean surfaces were observed, overshadowing the impact of seasonal differences. However, the CCP exhibited reduced accuracy during thick cloud in the summer season. This feature was consistently seen in event analysis, especially in cases of typhoons with diverse cloud shapes. In thin-cloud regions, CCP was comparable to other satellites; in thick-cloud regions, significant differences were seen. Besides, the investigation showed that GEMS had a tendency to identify clouds over highly reflective, low-altitude sea fog, resulting in CCP values that were comparable to surface pressure. This special quality made it possible to accurately characterize the characteristics of sea fog.

How to cite: Kim, B.-R., Kim, G., Cho, M., and Choi, Y.-S.: Characteristics and Results of Cloud Retrieval Algorithm for Geostationary Environment Monitoring Spectrometer, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14190, https://doi.org/10.5194/egusphere-egu24-14190, 2024.

X5.133
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EGU24-16250
Serin Kim, Ukkyo Jeong, Hanlim Lee, Robert J. D Spurr, and Hyunkee Hong

The algorithm developed for retrieving Nitrogen Dioxide (NO2) profiles utilizes optimal estimation and is based on sky measurement data obtained from the Pandora instrument. In this study, the Aerosol Optical Thickness (AOT) was calculated and employed as an input parameter through the SMART-s algorithm (Jeong et al., 2022).  The NO2 profile was retrieved by least-square fitting utilizing the VLIDORT radiative transfer model with a priori information derived from Community Earth System Model (CESM) data. Pandora measurements were taken in Yongin, South Korea from December 2021 to January 2022. The retrieved NO2 profile was compared with surface NO2 concentrations near two in situ sites. The correlation and Root Mean Square Error (RMSE) between the surface concentration measured by Pandora and the two in situ sites were approximately 0.56 and 12.24 ppb, respectively. A higher correlation was observed with in situ locations positioned along the line of sight compared to nearer sites. This correlation was further enhanced when incorporating aerosol optical thickness directly obtained from Pandora measurements. The findings of this study suggest that considering aerosol information in the retrieval of NO2 profiles, as measured values, can contribute to improvements.

How to cite: Kim, S., Jeong, U., Lee, H., Spurr, R. J. D., and Hong, H.: Development and evaluation of the NO2 profile algorithm from Pandora measurements in South Korea, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16250, https://doi.org/10.5194/egusphere-egu24-16250, 2024.

Posters virtual: Wed, 17 Apr, 14:00–15:45 | vHall X5

Display time: Wed, 17 Apr, 08:30–Wed, 17 Apr, 18:00
Chairpersons: Monika Kopacz, Shobha Kondragunta
vX5.9
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EGU24-13628
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ECS
Yeseul Cho, Jhoon Kim, Sujung Go, Mijin Kim, Seoyoung Lee, Minseok Kim, Hyunkee Hong, Dong-Won Lee, and Omar Torres

The Geostationary Environment Monitoring Spectrometer (GEMS), a pioneering Geostationary Earth Orbit (GEO) satellite instrument for air quality observation, is designed for atmospheric environmental monitoring and provides aerosol optical properties (AOPs). In this work, improvements to the GEMS aerosol retrieval algorithm, including spectral binning, surface reflectance estimation, cloud masking, and post-processing, are presented, along with validation results. These improvements aim to provide more accurate aerosol monitoring outcomes across Asia. Adopting spectral binning within the Look-Up Table (LUT) reduces random measurement errors and provides the stability of satellite data. Furthermore, Furthermore, a high-resolution surface reflectance database is constructed by considering monthly Background Aerosol Optical Depth (BAOD) values. This is based on the minimum reflectance method at the GEMS pixel resolution. The implementation of new cloud removal techniques enhances the accuary of cloud detection. Validation of GEMS AOD products against data from the AErosol RObotic NETwork (AERONET) and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) from November 2021 to October 2022 reveals a robust correlation with AERONET AOD (R=0.792). Different validation outcomes are observed for different aerosol types, namely Highly Absorbing Fine, Dust, and Non-absorbing. GEMS Single Scattering Albedo (SSA) aligns well with AERONET data within acceptable error margins, although accuracy varies among aerosol types. When GEMS AOD exceeds 0.4, 42.76% of GEMS SSA values fall within the expected error range of ±0.03, and 67.25% fall within the range of ±0.05. The comparison of GEMS Aerosol Layer Height (ALH) with CALIOP data shows commendable agreement, with a mean discrepancy of -0.225 km and 55.29% (71.70%) of the data within ±1 km (±1.5 km). However, to address the issue of artifactual diurnal biases in AOD measurements, a machine learning-based post-processing correction method is developed. Post-process correction enhances GEMS AOD performance, reducing biases. In particular, the slope is close to 1, at 0.806 and the R is 0.897. Post-process correction also enhances GEMS SSA performance. 68.54% of GEMS SSA values fall within the expected error range of ±0.03, and 88.95% fall within the range of ±0.05.

How to cite: Cho, Y., Kim, J., Go, S., Kim, M., Lee, S., Kim, M., Hong, H., Lee, D.-W., and Torres, O.: Retrieval algorithm for GEMS aerosol optical properties: Improvement, validation, and post-processing, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13628, https://doi.org/10.5194/egusphere-egu24-13628, 2024.

vX5.10
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EGU24-14218
Hyeji Cha, Jhoon Kim, Heesung Chong, Gonzalo González Abad, Dha Hyun Ahn, Sangseo Park, and Won-jin Lee

The hydroxyl radical (OH) plays a significant role in the atmosphere, driving the oxidation and removal of most trace gases. Therefore, quantifying the sources of OH is of great importance to the scientific community. Researchers have been particularly interested in the role of nitrous acid (HONO) in tropospheric photochemistry, as HONO serves as a source of OH. While ground-based measurements have been conducted in certain regions, there is a need for more extensive observations of HONO to enhance our understanding of its chemistry. In this study, the HONO retrieval algorithm from the Geostationary Environment Monitoring Spectrometer (GEMS) are presented, utilizing the ultraviolet spectra. The retrieval process consists of three steps: spectral fitting, air mass factor calculation, and post-processing. The retrieval window of 343.0 – 371.0nm is employed to obtain HONO slant columns and air mass factor calculation is performed using a monochromatic wavelength of 357 nm. Reference sector correction is then applied to compensate for the HONO slant columns from radiance reference spectrum. Focusing on biomass burning events, the increase in HONO from fire plumes was presented as the retrieved results. By refining the retrieval algorithm, more information on HONO chemistry as well as diurnal patterns is expected to be obtained.

How to cite: Cha, H., Kim, J., Chong, H., González Abad, G., Ahn, D. H., Park, S., and Lee, W.: HONO Retrievals over Asia from the Geostationary Environment Monitoring Spectrometer (GEMS), EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14218, https://doi.org/10.5194/egusphere-egu24-14218, 2024.