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            "title": "Optimal use of AERONET measurements in UV-SWIR for the development and validation of satellite aerosol products",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Manuel",
                    "lastName": "Veloso Varela"
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                    "creatorType": "author",
                    "firstName": "Benjamin",
                    "lastName": "Torres"
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                    "firstName": "Masahiro",
                    "lastName": "Momoi"
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                    "creatorType": "author",
                    "firstName": "Christian",
                    "lastName": "Matar"
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                {
                    "creatorType": "author",
                    "firstName": "Oleg",
                    "lastName": "Dubovik"
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                    "creatorType": "author",
                    "firstName": "David",
                    "lastName": "Fuertes"
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                    "creatorType": "author",
                    "firstName": "Philippe",
                    "lastName": "Goloub"
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                    "creatorType": "author",
                    "firstName": "Anton",
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                    "creatorType": "author",
                    "firstName": "Elena",
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                {
                    "creatorType": "author",
                    "firstName": "Carlos",
                    "lastName": "Toledano"
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                    "creatorType": "author",
                    "firstName": "Ilya",
                    "lastName": "Slutsker"
                },
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            "abstractNote": "This study focuses on the use of state-of-the-art ground-based Earth observation measurements, primarily from the AERONET network, to support the development and validation of new aerosol retrieval approaches for current and future multi-platform satellite missions operated by EUMETSAT and Copernicus, such as EPS-SG (Metop-SG), Sentinel-3, Sentinel-5P, CO2M, the geostationary MTG, etc. These missions provide complementary photometric, polarimetric and spectrometric observations covering a broad spectral range from the ultraviolet (UV) to the short-wave infrared (SWIR) and thermal infrared (TIR). A central objective of this work is to extend AERONET-based aerosol retrievals beyond their standard operational spectral range (440–1020 nm) towards both the UV and the SWIR. Recent developments allow the use of measurements from 340 nm in the UV to 1640 nm, and potentially up to 2200 nm, enabling a more consistent validation of satellite aerosol products across the full spectral domain. Many AERONET sites already provide long-term observations at 380–1640 nm, and a subset also includes measurements at 340 nm, forming a unique reference dataset for this purpose. AERONET-like retrievals at these extended wavelengths enable the evaluation of satellite-derived aerosol properties such as spectral refractive index, single-scattering albedo and size distributions, including fine-mode and super-coarse particles. These products are also essential for improving the treatment of aerosols in trace- and greenhouse- gases retrievals (e.g. NO₂ from UV,  CO₂ and CH₄ from SWIR). The study presents the first aerosol inversions performed with the GRASP algorithm using this extended spectral range and describes the associated processing chain, including aerosol optical depth (AOD) and sky-radiance preparation, surface reflectance treatment, and inversion metadata. The preliminary results on the data collected at Rotterdam de Slufter during CINDI-3 campaign shows the good agreement in the data preparation and the inversion results derived from developed processing chain with the one from AERONET. This study found the importance of the treatment of the instrumental features such as spectral filter response. The results demonstrate the potential of long-term multi-spectral AERONET observations to strengthen the validation and development of next-generation satellite aerosol and trace- and greenhouse-gas retrievals.",
            "proceedingsTitle": "",
            "conferenceName": "EGU General Assembly 2026",
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            "place": "Vienna, Austria & online",
            "date": "3-8 May 2026",
            "eventPlace": "",
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            "itemType": "conferencePaper",
            "title": "The Copernicus anthropogenic CO2 Monitoring (CO2M) mission – three instruments, three platforms – one goal",
            "creators": [
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                    "firstName": "Ruediger",
                    "lastName": "Lang"
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                {
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                    "firstName": "Maurizio",
                    "lastName": "De Bartolomei"
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                {
                    "creatorType": "author",
                    "firstName": "Helmut",
                    "lastName": "Bauch"
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                    "firstName": "Bojan",
                    "lastName": "Bojkov"
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                {
                    "creatorType": "author",
                    "firstName": "Leonid",
                    "lastName": "Butenko"
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                {
                    "creatorType": "author",
                    "firstName": "Hannah",
                    "lastName": "Clarke"
                },
                {
                    "creatorType": "author",
                    "firstName": "Paola",
                    "lastName": "Colagrande"
                },
                {
                    "creatorType": "author",
                    "firstName": "Josef",
                    "lastName": "Gasteiger"
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                {
                    "creatorType": "author",
                    "firstName": "Catherine",
                    "lastName": "Hayer"
                },
                {
                    "creatorType": "author",
                    "firstName": "Andriy",
                    "lastName": "Holdak"
                },
                {
                    "creatorType": "author",
                    "firstName": "Eduardo",
                    "lastName": "Valido Cabrera"
                },
                {
                    "creatorType": "author",
                    "firstName": "Bernd",
                    "lastName": "Husemann"
                },
                {
                    "creatorType": "author",
                    "firstName": "Antoine",
                    "lastName": "Lacan"
                },
                {
                    "creatorType": "author",
                    "firstName": "Fabrizio",
                    "lastName": "Di Loreto"
                },
                {
                    "creatorType": "author",
                    "firstName": "Thierry",
                    "lastName": "Marbach"
                },
                {
                    "creatorType": "author",
                    "firstName": "Pepe",
                    "lastName": "Phillips"
                },
                {
                    "creatorType": "author",
                    "firstName": "Rassulzhan",
                    "lastName": "Poltayev"
                },
                {
                    "creatorType": "author",
                    "firstName": "Cosimo",
                    "lastName": "Putignano"
                },
                {
                    "creatorType": "author",
                    "firstName": "Vincenzo",
                    "lastName": "Santacesaria"
                },
                {
                    "creatorType": "author",
                    "firstName": "Sruthy",
                    "lastName": "Sasi"
                }
            ],
            "abstractNote": "As part of the Copernicus component of the EU Space Programme, the European Commission and the European Space Agency (ESA), are expanding the Copernicus Space Infrastructure and are implementing satellite remote measurements to support anthropogenic CO2 emission monitoring. In support of well-informed policy decisions and to assess the effectiveness of strategies for CO2 (and methane (CH4)) emission reduction, uncertainties associated with current anthropogenic emission estimates at national and regional scales need to be improved. Satellite measurements of atmospheric CO2 and CH4, complemented by in-situ measurements and bottom-up inventories will be elaborated in an advanced (inverse) modelling scheme to provide a transparent and consistent quantitative assessment of their emissions and their trends at the scale of megacities, regions, countries, and at global scale. The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) is responsible for the development of the operational ground segment (with contributions from ESA) and the CO2M system operations during commissioning and the routine phase. This presentation will provide an overview of the mission and instrument development status at ESA and will present first results from the CO2M operational processing system developments ongoing at EUMETSAT. The latter will include first simulations for the dedicated CO2M aerosol, cloud, and NO2 products, as well as from the innovative approach to exploit three retrieval algorithms for greenhouse gases (GHG), i.e. XCH4, XCO2. Here we show how the measurements from the three instruments on-board CO2M (the CO2/NO2 push-broom grating spectrometer (CO2I/NO2I), the Multi Angle Polarimeter (MAP), and the Cloud Imager (CLIM)) are combined into one “hyper-instrument” processing system. This includes the centralized and harmonized provision of auxiliary and a priori information to all level-2 processors and for all satellite platforms, in order to ensure maximum consistency between the parts of the system. The results are based on realistic simulations of orbits for a constellation of three satellite platforms, including one which is continuously following the sun-glint spot instead of looking in the nadir direction. CO2M level-2 products from all platforms of the constellation will be operationally assimilated in the Copernicus GHG Monitoring and Verification Support Capacity (MVS) of the European Commission developed by the Copernicus Atmosphere Monitoring Service (CAMS) at the European Centre for Medium-Range Weather Forecast (ECMWF). The MVS will provide CO2 and Methane emission inventories at a regional, national, and global scale to users and stakeholders. The simultaneous assimilation of the same data-products from multiple platforms requires, next to the centralized “hyper-instrument” processing strategy the stringent intra- and inter-platform instrument calibration with strict requirements on instrument co-registration per platform and between platforms. To achieve and maintain high level of consistency during the full mission lifetime EUMETSAT will use a number of on-board and external calibration reference source, including the sun, the moon, and on-board light sources, as well as stable on-ground reference targets, which will routinely be used for monitoring and re-calibration activities in EUMETSAT.",
            "proceedingsTitle": "",
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                {
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                {
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                },
                {
                    "tag": "Colagrande, Paola"
                },
                {
                    "tag": "De Bartolomei, Maurizio"
                },
                {
                    "tag": "Di Loreto, Fabrizio"
                },
                {
                    "tag": "Gasteiger, Josef"
                },
                {
                    "tag": "Hayer, Catherine"
                },
                {
                    "tag": "Holdak, Andriy"
                },
                {
                    "tag": "Husemann, Bernd"
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                {
                    "tag": "Lacan, Antoine"
                },
                {
                    "tag": "Lang, Ruediger"
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                {
                    "tag": "Marbach, Thierry"
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                {
                    "tag": "Phillips, Pepe"
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            "title": "Comparison of two Metop-3MI instrument models and implications for on-ground testing in multi-unit space missions",
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                    "firstName": "L.",
                    "lastName": "Clermont"
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                    "firstName": "C.",
                    "lastName": "Michel"
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                    "firstName": "Q.",
                    "lastName": "Chouffart"
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                    "firstName": "Y.",
                    "lastName": "Zhao"
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                    "creatorType": "author",
                    "firstName": "E.",
                    "lastName": "Mazy"
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                    "firstName": "I.",
                    "lastName": "Fuente"
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                    "firstName": "F.",
                    "lastName": "La China"
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                    "firstName": "B.",
                    "lastName": "Fougnie"
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            "abstractNote": "",
            "publicationTitle": "Scientific Reports",
            "publisher": "",
            "place": "",
            "date": "2026-01-26",
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            "creatorSummary": "Heidinger et al.",
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            "version": 5543,
            "itemType": "journalArticle",
            "title": "A GEO-Ring of Spectral Radiances: Toward a Next Generation of the International Satellite Cloud Climatology Project (ISCCP-NG)",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Andrew",
                    "lastName": "Heidinger"
                },
                {
                    "creatorType": "author",
                    "firstName": "Graeme",
                    "lastName": "Stephens"
                },
                {
                    "creatorType": "author",
                    "firstName": "Jörg",
                    "lastName": "Schulz"
                },
                {
                    "creatorType": "author",
                    "firstName": "Viju O.",
                    "lastName": "John"
                },
                {
                    "creatorType": "author",
                    "firstName": "Jan Fokke",
                    "lastName": "Meirink"
                },
                {
                    "creatorType": "author",
                    "firstName": "Martin",
                    "lastName": "Stengel"
                },
                {
                    "creatorType": "author",
                    "firstName": "Coda",
                    "lastName": "Phillips"
                },
                {
                    "creatorType": "author",
                    "firstName": "Kenneth R.",
                    "lastName": "Knapp"
                },
                {
                    "creatorType": "author",
                    "firstName": "Marta",
                    "lastName": "Luffarelli"
                },
                {
                    "creatorType": "author",
                    "firstName": "Salomon",
                    "lastName": "Eliasson"
                },
                {
                    "creatorType": "author",
                    "firstName": "Thomas",
                    "lastName": "Fiolleau"
                },
                {
                    "creatorType": "author",
                    "firstName": "Rémy",
                    "lastName": "Roca"
                },
                {
                    "creatorType": "author",
                    "firstName": "Tristan",
                    "lastName": "L’Ecuyer"
                },
                {
                    "creatorType": "author",
                    "firstName": "Carlos",
                    "lastName": "Horn"
                }
            ],
            "abstractNote": "Abstract\n            \n              Since 2014, space agencies have launched advanced meteorological imagers into the geostationary (GEO) orbit encircling Earth’s equator, known as the GEO-Ring. JMA, NOAA, and KMA launched imagers measuring 16 spectral bands with thermal resolutions of 2 km and full-disk coverage every 10 min. China Meteorological Administration’s (CMA’s)\n              Fengyun-4A\n              (\n              FY-4A)\n              series, launched in 2016, observes 14 bands with 4-km thermal resolution and 15-min full-disk scans. In 2022, EUMETSAT introduced the Meteosat Third Generation (MTG) imager, offering 16 channels, 2-km thermal resolution, and 10-min full-disk coverage. Together, these satellites provide near-global coverage with improved capabilities over earlier generations. The 10–12 common channels across the latest imagers enable retrieval of diverse atmospheric variables at high temporal resolution. These data represent a substantial advance beyond the early 1980s when the International Satellite Cloud Climatology Project (ISCCP) was first developed. The challenge facing any new GEO-Ring project, such as one being planned as part of a next generation of ISCCP (ISCCP-NG), is to define a new baseline from these measurements and processing methods to extract meaningful information for the scientific community in the coming decades. This paper outlines the design of a GEO-Ring radiance project to support a future ISCCP-NG and many other applications and emphasizes the benefits compared to the B1 and B3 data used in ISCCP.\n            \n            \n              Significance Statement\n              Space agencies have made large investments in improving the capabilities of the geostationary (GEO) meteorological satellite imagers surrounding Earth’s equator in the so-called GEO-Ring. To facilitate the use of these data for scientific studies by a wide community, the Global Energy and Water Exchanges project (GEWEX) Data and Analysis Panel (GDAP) initiated a next generation of the International Satellite Cloud Climatology Project (ISCCP-NG). The original and pioneering ISCCP was formed when the first generation of the GEO-Ring was established in the early 1980s. This paper demonstrates the development of the new GEO-Ring dataset and how it may lead to an ISCCP-NG. The characteristics of the GEO-Ring data are described and their application to cloud, aerosol, and storm-tracking applications are illustrated.",
            "publicationTitle": "Bulletin of the American Meteorological Society",
            "publisher": "",
            "place": "",
            "date": "02/2026",
            "volume": "107",
            "issue": "2",
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            "pages": "E291-E308",
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            "tags": [
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                    "tag": "Horn, Carlos"
                },
                {
                    "tag": "John, Viju"
                },
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                    "tag": "Schulz, Jörg"
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            "title": "Assessing the Potential of the MTG-FCI Geostationary Mission for the Detection of Methane Plumes",
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                    "firstName": "Shanyu",
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                    "lastName": "Gorroño"
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                    "creatorType": "author",
                    "firstName": "Javier",
                    "lastName": "Roger"
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                    "firstName": "Itziar",
                    "lastName": "Irakulis-Loitxate"
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                    "firstName": "Zhipeng",
                    "lastName": "Pei"
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                    "firstName": "Lulu",
                    "lastName": "Si"
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                    "lastName": "Guanter"
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            "publicationTitle": "Environmental Science & Technology",
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            "creatorSummary": "Sinnathamby et al.",
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            "version": 5535,
            "itemType": "journalArticle",
            "title": "Post‐Monsoon Pollution Events in the Indo‐Gangetic Plain Using 18 Years [2007–2024] of IASI Carbon Monoxide Satellite Measurements",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Selviga",
                    "lastName": "Sinnathamby"
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                {
                    "creatorType": "author",
                    "firstName": "Sarah",
                    "lastName": "Safieddine"
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                {
                    "creatorType": "author",
                    "firstName": "Marie",
                    "lastName": "Doutriaux‐Boucher"
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                {
                    "creatorType": "author",
                    "firstName": "Pierre",
                    "lastName": "Coheur"
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                {
                    "creatorType": "author",
                    "firstName": "Cathy",
                    "lastName": "Clerbaux"
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            ],
            "abstractNote": "Abstract\n            In recent years, the Indo‐Gangetic Plain (IGP) has experienced recurring intense air pollution episodes during the post‐monsoon season (October–November), posing significant health risks to millions of inhabitants. These pollution events coincide with agricultural waste burning, emitting large quantities of carbon monoxide (CO) into the troposphere. Using 18 years of Infrared Atmospheric Sounding Interferometer (IASI) measurements from the Metop satellites, we examined the interannual variability of CO concentrations over the IGP during the post‐monsoon season from 2007 to 2024. We focused on three representative years with varying CO levels (2011, 2017, and 2024) to determine whether CO pollution events in the IGP were more influenced by fire intensity, represented by the Fire Radiative Power (FRP) from the Moderate Resolution Imaging Spectroradiometers, or by meteorological parameters, particularly average winds in the 0–2 km layer, provided by ERA5 reanalysis. The comparison of wind patterns and FRP showed that surface winds primarily drive CO pollution severity. Extreme CO concentrations were found in 2017 and 2024 which coincided with prolonged periods of weak surface winds. In contrast, 2011 exhibited moderate CO concentrations throughout the post‐monsoon season due to stronger winds, despite higher FRP. Our findings highlight the influence of surface winds in conditioning extreme post‐monsoon pollution episodes in the IGP and demonstrate the ability of IASI for long‐term monitoring of regional air pollution caused by agricultural waste burning. However, these results rely on the accurate detection of fire activity, which remains challenging due to limitations in satellite observations and changes in agricultural practices.\n          , \n            Plain Language Summary\n            The burning of crop waste practiced every year in October and November negatively impacts air quality in the Indo‐Gangetic Plain (IGP) as it releases many pollutants into the atmosphere, such as carbon monoxide (CO). In this study, we investigated how CO levels have changed from one year to another in the IGP region from 2007 to 2024, using satellite observations from the Infrared Atmospheric Sounding Interferometer (IASI). To understand whether CO levels are more driven by the intensity of crop waste burning or meteorological conditions, especially surface winds, we analyzed pollution events of 2011, 2017, and 2024, which exhibited different CO patterns in the region. We found that surface winds played a major role in shaping CO pollution. In 2017 and 2024, weak surface winds favored the buildup of CO, leading to extreme levels, while stronger winds in 2011 helped disperse CO across the region, resulting in lower levels despite high fire activity that year.\n          , \n            Key Points\n            \n              \n                \n                  Agricultural waste burning in the Indo‐Gangetic Plain during post‐monsoon can be monitored using carbon monoxide measurements from the Infrared Atmospheric Sounding Interferometer\n                \n                \n                  Abnormally high carbon monoxide levels were recorded during the post‐monsoon season of 2017 and 2024, coinciding with weak surface winds\n                \n                \n                  Improved fire monitoring is needed to distinguish the influence of agricultural waste burning from meteorology during pollution events",
            "publicationTitle": "Journal of Geophysical Research: Atmospheres",
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            "date": "2026-02-28",
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            "partTitle": "",
            "pages": "e2025JD044219",
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            "journalAbbreviation": "JGR Atmospheres",
            "DOI": "10.1029/2025JD044219",
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            "title": "Ensemble-Based Evaluation of the Forecast Impact Expected from EPS-Sterna. Part II: Adding the 325-GHz Channels",
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                    "creatorType": "author",
                    "firstName": "Katie",
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                    "firstName": "Tim",
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            "abstractNote": "Abstract\n            The proposed EUMETSAT Polar System (EPS)-Sterna constellation of small satellites comprises passive microwave (MW) sounding instruments with an additional set of novel 325-GHz channels, providing further humidity-sounding capabilities with higher ice cloud sensitivity. These submillimeter channels have only recently become available from cross-track scanners on a space-borne platform. On EPS-Sterna, they complement more traditional temperature- and humidity-sounding channels around 50–60 GHz and 183 GHz. A strategy is developed to simulate and assimilate the 325-GHz channels in an all-sky framework. This includes development of an observation error model based on a new cloud indicator exploiting the cloud signal extracted from the lowest-peaking 325-GHz channel to assign larger observation errors in cloud-affected regions. The new model leads to a more Gaussian distribution of background departures normalized by the assigned observation error, compared to using the same cloud indicator as for the 183-GHz channels. After developing an assimilation strategy, the ensemble of data assimilations (EDA) method is used to evaluate the expected forecast benefit of these new channels. Results show that the 325-GHz channels produce a similar positive impact as the 183-GHz channels when each channel set is added separately to the temperature-sounding channels at 50 GHz. When combined with 50- and 183-GHz sounding channels, the impact of the 325-GHz channels is mostly neutral, with benefits for midtropospheric relative humidity. Inflating the observation errors assigned to the 325-GHz channels is found necessary to achieve this impact. Potential avenues to increase the impact through data assimilation enhancements are discussed (e.g., from better utilizing the ice cloud information).\n            \n              Significance Statement\n              This study evaluates the use and expected weather forecast impact from a new set of 325-GHz submillimeter humidity-sounding channels included in a proposed future satellite constellation. This is important as such channels have only recently become available from space. We develop a first approach for using these observations and show that they can have a similar impact as traditional humidity-sounding channels in the microwave part of the spectrum. When combined with these traditional sounding channels, the impact is, however, comparatively small. We identify areas of future work to optimize the benefit.",
            "publicationTitle": "Monthly Weather Review",
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            "date": "03/2026",
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            "pages": "487-503",
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            "DOI": "10.1175/MWR-D-25-0119.1",
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                    "tag": "Ackermann, Jörg"
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                {
                    "tag": "Di Michele, Sabatino"
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                    "tag": "Hewison, Tim"
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            "title": "An improved characterization of aerosols using new space-borne remote sensing capabilities based on Multi-Angle Polarimetry",
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            "abstractNote": "Detailed knowledge of the optical and microphysical properties of aerosols plays a significant role in reducing one of the major sources of uncertainties in climate and air quality assessments. In recent years, the importance of exploiting the rich measurements from satellite observations for improved aerosol characterization has been widely recognized, prompting significant efforts to increase the information content of retrieval algorithms through synergies among measurements from single or multiple instruments.The recent launch of EPS-SG (August 2025) with cutting-edge onboard instruments marks the beginning of new generation of exceptionally rich satellite observations. Notably, the Multi-View, Multi-Channel, Multi-Polarisation Imager (3MI) onboard  Metop-SG A1 has the core mission for aerosol characterization. The multi-angle polarimetric data acquisition implemented in 3MI builds on a long heritage, demonstrated since 1996 by POLDER and PARASOL (Polarization and Anisotropy of Reflectances for Atmospheric Science coupled with Observations from a Lidar). Compared to the POLDER/PARASOL era, new advances in 3MI instrument (e.g. broader spectral range), along with significant improvements in retrieval algorithms, have enabled the characterization of aerosols with additional optical, microphysical, and chemical properties beyond classical approaches and products. In addition, recent efforts to harmonize chemical component definitions in 3MI aerosol retrieval algorithm with those adopted by the broader scientific community and operational users have enhanced our understanding and stimulated new discussions on aerosol modelling.This presentation focuses on the latest improvements in chemical component representation within the 3MI GRASP retrieval and its integration into the operational processor to meet near real time user needs. Validation results from real observations (PARASOL and AERONET) and comparison to models demonstrate improved aerosol characterization and the added value of new polarimetry products in building a bridge between satellite and modelling community. The validation also emphasizes the need for new in-situ measurements, both to support algorithmic assumptions and to strengthen product validation. Finally, the high potential of synergistic use of Metop-SG A1 sensors to address remaining gaps in characterization of aerosols and more specifically chemical components will be discussed, pointing towards a more comprehensive approach to operational aerosol monitoring.",
            "proceedingsTitle": "",
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        "version": 5522,
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            "title": "An investigation into the impacts of the vertical smoothing of GNSS‐RO bending‐angle observations on Met Office NWP forecasts",
            "creators": [
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                    "firstName": "Neill E.",
                    "lastName": "Bowler"
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            "abstractNote": "Abstract\n            Motivated by apparent forecast improvements in the Met Office system with Spire‐processed Global Navigation Satellite Systems (GNSS) radio occultation bending‐angle observations, various experiments have been run to test the effect of increased vertical smoothing on forecast quality. The initial experiments were run with additional smoothing applied to Spire's observations as part of the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) processing. In these experiments it was seen that increasing the smoothing decreased the standard deviation of the observation departures, but also increased the vertical correlation length‐scales. These observations with additional smoothing were then ingested within a low‐resolution version of the Met Office numerical weather prediction (NWP) system, and the forecast quality was seen to be improved with the observations using additional smoothing compared with the observations using the operational processing. A second set of experiments was run which applied additional smoothing as a pre‐processing step within the Met Office system. The smoothing is thus applied to the low‐resolution Binary Universal Form for the Representation of meteorological data (BUFR) observations that are normally assimilated operationally. This method has the advantage that it is applied to the whole observation dataset, but the disadvantage that it is applied to the low‐resolution observations, which posed some technical challenges. It also meant that it was possible to make the smoothing length‐scale proportional to the spacing between vertical levels in the Met Office model. Tests applying the additional smoothing in this way demonstrated improved forecast performance over a wide range of variables. However, using a large smoothing length‐scale produced degraded results, and the degradation was seen first in the tropical region, suggesting that less smoothing is beneficial there. Further experimentation is planned, which would demonstrate the impact of additional smoothing on a second NWP system.",
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        "data": {
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            "title": "Assessing Earth’s Skin Temperature Trends: Consistent Signals from IASI, MODIS, CCI and ERA5",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Sarah",
                    "lastName": "Safieddine"
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                {
                    "creatorType": "author",
                    "firstName": "Selviga",
                    "lastName": "Sinnathamby"
                },
                {
                    "creatorType": "author",
                    "firstName": "Juliette",
                    "lastName": "Hadji-Lazaro"
                },
                {
                    "creatorType": "author",
                    "firstName": "Marie",
                    "lastName": "Doutriaux-Boucher"
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                {
                    "creatorType": "author",
                    "firstName": "Darren",
                    "lastName": "Ghent"
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                {
                    "creatorType": "author",
                    "firstName": "Simon",
                    "lastName": "Whitburn"
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                    "creatorType": "author",
                    "firstName": "Lieven",
                    "lastName": "Clarisse"
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                {
                    "creatorType": "author",
                    "firstName": "Cathy",
                    "lastName": "Clerbaux"
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            ],
            "abstractNote": "Abstract. Earth’s skin temperature (Tskin), i.e. land and sea surface temperature (LST and SST), directly reflects surface–atmosphere energy exchanges and is an Essential Climate Variable (ECV). Yet it remains less exploited than near-surface air temperature in climate monitoring. Here, we intercompare and assess the capability of several infrared sounders and Tskin products to monitor climate variability during morning and evening overpasses from a multi-sensor perspective over 2008–2022. Two Infrared Atmospheric Sounding Interferometer (IASI) satellite products are analysed: the EUMETSAT all-sky Climate Data Record (IASI-CDR) (all-sky) and a newly developed clear-sky neural-network product (IASI-NN). These IASI products are compared with the Moderate Resolution Imaging Spectroradiometer MODIS Terra Land Surface Temperature (LST) (v6.1), ESA LST CCI (v3.00), and ERA5 skin temperature. Over land, daytime global means agree within ~2 K across datasets, but LST CCI is consistently higher, and deseasonalised anomalies are highly consistent, except for LST CCI, which exhibits sensor-transition discontinuities. At night, MODIS shows a prevalent cold bias relative to all other products. Over the ocean, inter-dataset biases between IASI and ERA5 generally remain below 1 K. Trend analyses reveal robust warming in Tskin since 2008 across the different datasets, while significant regional cooling is observed over India (daytime) and parts of central/eastern Africa, and in in the southeastern Pacific associated with the Humboldt upwelling system.",
            "genre": "",
            "repository": "Land surface processes",
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            "date": "2026-2-11",
            "series": "",
            "seriesNumber": "",
            "DOI": "10.5194/egusphere-2026-400",
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            "accessDate": "2026-02-18T14:15:14Z",
            "archive": "",
            "archiveLocation": "",
            "shortTitle": "Assessing Earth’s Skin Temperature Trends",
            "language": "",
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            "callNumber": "",
            "rights": "https://creativecommons.org/licenses/by/4.0/",
            "extra": "",
            "tags": [
                {
                    "tag": "Doutriaux Boucher, Marie"
                }
            ],
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            "creatorSummary": "Duncan et al.",
            "parsedDate": "2026-02-12",
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            "version": 5516,
            "itemType": "preprint",
            "title": "Arctic Weather Satellite Assessment and Assimilation at ECMWF",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "David I.",
                    "lastName": "Duncan"
                },
                {
                    "creatorType": "author",
                    "firstName": "Niels",
                    "lastName": "Bormann"
                },
                {
                    "creatorType": "author",
                    "firstName": "Marijana",
                    "lastName": "Crepulja"
                },
                {
                    "creatorType": "author",
                    "firstName": "Mohamed",
                    "lastName": "Dahoui"
                },
                {
                    "creatorType": "author",
                    "firstName": "Alan J.",
                    "lastName": "Geer"
                },
                {
                    "creatorType": "author",
                    "firstName": "Christophe",
                    "lastName": "Accadia"
                },
                {
                    "creatorType": "author",
                    "firstName": "Sabatino",
                    "lastName": "Di Michele"
                },
                {
                    "creatorType": "author",
                    "firstName": "Tim J.",
                    "lastName": "Hewison"
                },
                {
                    "creatorType": "author",
                    "firstName": "Ville",
                    "lastName": "Kangas"
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            ],
            "abstractNote": "Abstract. The Arctic Weather Satellite (AWS) is a ground-breaking small satellite from ESA. Its goal is to measure microwave sounding radiances of sufficient quality for improving weather forecasts from a rapidly developed, low-cost mission. AWS is a pathfinder for the proposed EUMETSAT Polar System (EPS) Sterna constellation, which would represent a paradigm shift for operational satellite meteorology. The payload of AWS is a newly developed passive microwave (MW) sounder, with traditional temperature and humidity sounding channels near 54 and 183 GHz, plus novel humidity-sounding channels near 325 GHz. In this paper, first the radiometric performance of AWS is evaluated in reference to the ECMWF data assimilation system and heritage sounders, and then assimilation trials are presented to gauge the impact of AWS on forecast performance. The assimilation of AWS follows the all-sky method as applied to other MW radiometers in the ECMWF system, with the notable addition of the first-ever sub-millimetre wavelengths from the 325 GHz channel suite. Channel biases and noise estimates are generally in line with those of heritage instruments; AWS performance is similar to that of equivalent channels of AMSU-A and MWHS-2 in the 50 and 183 GHz bands, respectively, but effective noise for temperature sounding is higher than that of ATMS after spatial averaging. Nine months of experimentation show that adding AWS to the assimilation improves short-range forecasts of humidity, winds, and temperature. Geopotential height and winds are improved in the Southern Hemisphere through day 4. Despite its small size, AWS is a high-performing radiometer with data quality sufficient for operational assimilation in NWP. It has been assimilated operationally at ECMWF since July 2025.",
            "genre": "",
            "repository": "Others (Wind, Precipitation, Temperature, etc.)/Remote Sensing/Instruments and Platforms",
            "archiveID": "",
            "place": "",
            "date": "2026-2-12",
            "series": "",
            "seriesNumber": "",
            "DOI": "10.5194/egusphere-2026-712",
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            "accessDate": "2026-02-18T14:12:13Z",
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            "rights": "https://creativecommons.org/licenses/by/4.0/",
            "extra": "",
            "tags": [
                {
                    "tag": "Accadia, Christophe"
                },
                {
                    "tag": "Di Michele, Sabatino"
                },
                {
                    "tag": "Hewison, Tim"
                }
            ],
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            "dateAdded": "2026-02-18T14:12:13Z",
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            "creatorSummary": "Lean et al.",
            "parsedDate": "2026-02-13",
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        "data": {
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            "version": 5509,
            "itemType": "journalArticle",
            "title": "Ensemble-based evaluation of the forecast impact expected from EPS-Sterna. Part I: Evaluation of 50 and 183 GHz channels",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Katie",
                    "lastName": "Lean"
                },
                {
                    "creatorType": "author",
                    "firstName": "Niels",
                    "lastName": "Bormann"
                },
                {
                    "creatorType": "author",
                    "firstName": "Sean",
                    "lastName": "Healy"
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                {
                    "creatorType": "author",
                    "firstName": "Jörg",
                    "lastName": "Ackermann"
                },
                {
                    "creatorType": "author",
                    "firstName": "Sabatino",
                    "lastName": "Di Michele"
                },
                {
                    "creatorType": "author",
                    "firstName": "Christophe",
                    "lastName": "Accadia"
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            ],
            "abstractNote": "Abstract\n            The Ensemble of Data Assimilations (EDA) method is used to evaluate the expected impact from the proposed EUMETSAT Polar System (EPS)-Sterna constellation of small satellites carrying passive microwave (MW) sounding instruments. The instrument comprises frequencies in the 50 and 183 GHz bands, window channels at 89 and 165.5 GHz, and a new set of channels around 325 GHz. This paper focuses on the 50 and 183 GHz temperature and humidity-sounding channels and evaluates different numbers of satellites (3–8) in the constellation. The EPS-Sterna observations are simulated from ECMWF high-resolution analyses, and EDA experiments are performed in which these simulated observations are added to a Baseline observing system of existing real observations. Reductions in the spread of the EDA due to adding observations indicate an improved short-range forecast. The EDA analysis reveals that all EPS-Sterna configurations considered produce a significant positive impact for a range of atmospheric variables. The benefit increases with the number of satellites, and the six-satellite scenario, proposed for nominal operational use, gives just under twice the impact of a three-satellite scenario. Impacts are largest in the southern hemisphere and smallest in the tropics, consistent with results from changes to real MW sounding observation numbers. The six-satellite EPS-Sterna constellation shows an impact of between one and two full, multi-sensor Metop platforms. Further experiments highlight the importance of instrument noise performance, with a significant loss of impact when the assumed instrument noise for all channels is degraded, and a strong improvement if the assumed noise in the temperature-sounding channels is reduced.",
            "publicationTitle": "Monthly Weather Review",
            "publisher": "",
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            "date": "2026-02-13",
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            "pages": "e250118",
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            "DOI": "10.1175/MWR-D-25-0118.1",
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            "accessDate": "2026-02-18T14:07:39Z",
            "PMID": "",
            "PMCID": "",
            "ISSN": "0027-0644, 1520-0493",
            "archive": "",
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            "shortTitle": "Ensemble-based evaluation of the forecast impact expected from EPS-Sterna. Part I",
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            "tags": [
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                    "tag": "Accadia, Christophe"
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                {
                    "tag": "Ackermann, Jörg"
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                {
                    "tag": "Di Michele, Sabatino"
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            ],
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            "creatorSummary": "Munro et al.",
            "parsedDate": "2026-02-09",
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        "data": {
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            "version": 5505,
            "itemType": "journalArticle",
            "title": "EUMETSAT Polar System - Second Generation: Continuation of Observations and Advancing Applications from Low Earth Orbit",
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                    "creatorType": "author",
                    "firstName": "Rosemary",
                    "lastName": "Munro"
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                    "creatorType": "author",
                    "firstName": "Bojan",
                    "lastName": "Bojkov"
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                {
                    "creatorType": "author",
                    "firstName": "Fran",
                    "lastName": "Martinez Fadrique"
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                    "creatorType": "author",
                    "firstName": "Paul",
                    "lastName": "Counet"
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                    "creatorType": "author",
                    "firstName": "Rasmus",
                    "lastName": "Lindstrot"
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                    "firstName": "Philipp",
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                    "firstName": "Nan",
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                    "firstName": "Christopher",
                    "lastName": "Diekmann"
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                    "lastName": "Fougnie"
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                    "firstName": "Margarita",
                    "lastName": "Vazquez Navarro"
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                    "firstName": "Mounir",
                    "lastName": "Lekouara"
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                    "firstName": "Maurizio",
                    "lastName": "De Bartolomei"
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                    "firstName": "Ali",
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                    "firstName": "Simon",
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                    "firstName": "Christophe",
                    "lastName": "Accadia"
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                    "firstName": "Vinia",
                    "lastName": "Mattioli"
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                    "firstName": "Francesco",
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                    "firstName": "Felix",
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                    "firstName": "Robin",
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                    "firstName": "Imke",
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            "abstractNote": "Abstract\n            EUMETSAT successfully launched the first satellite of the EUMETSAT Polar System - Second Generation (EPS-SG), developed as a collaborative programme between EUMETSAT and ESA, on 13 August 2025 at 00:37:50 (UTC) on an Ariane 62 launcher. EPS-SG is Europe′s contribution to the NOAA-EUMETSAT Joint Polar System, continuing and expanding mid-morning orbit observations provided by the Metop satellites. EPS-SG comprises three satellites collecting optical imaging and sounding observations (Metop-SGA) and three satellites collecting active and passive microwave observations (Metop-SGB) deployed in pairs, each satellite with a 7.5 year design lifetime, including 6 months for commissioning.\n            In addition to providing improved legacy observations with the Infrared Atmospheric Sounding Interferometer - New Generation (IASI–NG), METeorological imager (METimage, MicroWave Sounder (MWS), and Radio Occultation (RO) instruments, the Metop-SGA satellites will carry the Multi-viewing Multi-channel Multi-polarisation Imager (3MI), a passive polarimeter for monitoring atmospheric aerosol and clouds, and the Copernicus Sentinel-5 UV/Vis/NIR/SWIR (UVNS) Sounding instrument, provided by ESA and the European Commission, measuring trace gases and aerosols. The Metop-SGB satellites will continue observations of ocean vector wind fields with the SCAtterometer (SCA), also host a RO instrument, and carry the MicroWave Imager (MWI) for monitoring precipitation, temperature, clouds, water vapor, sea ice and snow cover. Metop-SGB will also provide novel observations with the Ice Cloud Imager (ICI), covering sub-millimetre wavelengths for global observations of ice clouds. Finally, Metop-SGB will in addition carry the Advanced Data Collection System, Argos-4, contributing to the Argos worldwide location and data collection system.\n            This paper describes these instruments, outlines the related products and services and addresses the evolution of further applications.",
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            "proceedingsTitle": "Proceedings of the 2025 conference on Big Data from Space (BiDS'25)",
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            "abstractNote": "EUMETSAT, Europe's organisation for the\nexploitation of meteorological satellites, has\ntransformed its approach to data access from\npredominantly real-time satellite broadcasts to a\nversatile, cloud-native data access portfolio. This\nshift allows for the service portfolio to be managed\naccording to cost and service level targets. The\nservices are available using a combination of\npublic clouds, private clouds, and on-premises\nenvironments, including the European Weather\nCloud (EWC). Leveraging an extendable, service-\nbased architecture has allowed EUMETSAT to\nrapidly adopt and support interfaces such as the\nWMO Information System 2 (WIS2), backed by\nthe robustness of the cloud-native approach.\nAdditionally, EUMETSAT actively enhances its\ndata readiness for Artificial Intelligence (AI) and\nMachine Learning (ML) workflows guided by\nadherence to FAIR principles, especially in data\naccessibility and reusability.",
            "proceedingsTitle": "Proceedings of the 2025 conference on Big Data from Space (BiDS'25)",
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            "title": "The Measurement Model of Copernicus TRUSTED Fiducial Reference Measurement Drifting Buoys for Sea Surface Temperature",
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            "abstractNote": "Abstract\n            The European Union’s Copernicus-funded project Toward Fiducial Reference Measurements of Sea Surface Temperature by European Drifters (TRUSTED) has made progress toward fiducial reference measurements (FRMs) from drifting buoys for sea surface temperature (SST). These are a subset of surface drifting buoy measurements commissioned to ensure the quality of very high-accuracy (low uncertainty), climate-quality satellite SST observations. These buoys differ from the standard drifter platform in that they carry an additional TRUSTED Reference Sensor for Temperature (TRST) to comply with the World Meteorological Organization (WMO) agreed specification of High Resolution SST, version 2 (HRSST-2). Among the mandatory characteristics for an FRM, the traceability of measurements and the evaluation of measurement uncertainties are the most important ones, particularly for the validation of satellite data. A measurement uncertainty traceability diagram following metrological best practices has been defined as a first step in establishing a new standard for surface FRM drifting buoy measurements within the TRUSTED project. The derived measurements can be qualified as FRM. The diagram defines all sources of uncertainties, ranging from the calibration of the SST sensor through to the measurements at sea. It then allows a model to be developed that describes and quantifies the detected sources of uncertainties on the measured temperature value and to link this temperature measurement to the International System of Units (SI) with small uncertainties: between 2.5 and 3.5 mK for a TRST and between 5.5 and 6.5 mK for a buoy in the range 2°–35°C.",
            "publicationTitle": "Journal of Atmospheric and Oceanic Technology",
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                    "firstName": "Kyung-Ae",
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                    "creatorType": "author",
                    "firstName": "Eun-Ha",
                    "lastName": "Sohn"
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                {
                    "creatorType": "author",
                    "firstName": "Hui-Tae",
                    "lastName": "Joo"
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                {
                    "creatorType": "author",
                    "firstName": "Joon-Soo",
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                {
                    "creatorType": "author",
                    "firstName": "Jun-Yong",
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            "abstractNote": "This study evaluates the accuracy of sea surface temperature (SST) data produced by Korea's second geostationary satellite, GK-2A, over its first four years of operation (2019-2023). The root mean square difference (RMSD) and bias between satellite-derived SSTs and in situ measurements were approximately 0.5K and -0.04K, respectively, satisfying the target accuracy. Errors exhibited latitude-dependent variations and differed between day and night observations. SST was found to be overestimated in conditions of weak wind (<3 m/s) and underestimated during nighttime. Additionally, SST estimates were higher in conditions of high atmospheric humidity and lower during dry conditions. In regions with developed oceanic fronts, the intensity of the fronts linearly increased the RMSD of the satellite SST. A notable increase in SST uncertainty was observed when the satellite zenith angle (SZA) exceeded 50°. To address this, eight additional SST estimation formulas considering both linear and nonlinear relationships related to the SZA were developed and validated. The newly derived formula reduced the influence of the SZA, especially at high SZAs. The study emphasizes the critical role of the SZA in contributing to SST errors and highlights the need for continuous verification and improvement of SST accuracy before its utilization. By proposing optimal algorithms for SST retrievals from geostationary satellites, this study is anticipated to improve the monitoring of SSTs in regions covered by GK-2A. Given the high frequency of observations from geostationary satellites, findings highlight the necessity of optimizing zenith angle corrections in geostationary satellite SST operations for reliable global SST applications. © 2008-2012 IEEE.",
            "publicationTitle": "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing",
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            "abstractNote": "ABSTRACT\n            The west coast of India has recently been experiencing torrential monsoon rains, a trend that studies indicate is likely to continue under future warming scenarios. This study investigates the link between moisture flux and extreme rainfall over the west coast, using observational and reanalysis datasets for the monsoon seasons (June to September) from 1990 to 2023. The analysis shows that, over the Indian subcontinent, rainfall along the west coast is primarily influenced by large‐scale moisture flux from the Arabian Sea. By decomposing the vertically integrated moisture flux into dynamic and thermodynamic components, this study observes that the thermodynamic component of moisture flux exhibits an increasing trend over the southwest coast, while this increasing trend is more prominent for the dynamic component over the northwest coast. Extreme rainfall over the southwest coast is increasing at a rate of 0.23 mm per season, attributed primarily to the increase in the thermodynamic component of moisture flux. It is observed that the rate of sea surface temperature (SST) increase over the Arabian Sea is faster than over the Bay of Bengal, with the average SST over the southeast Arabian Sea exceeding 28°C in recent years. Observations indicate that warming over the southeast Arabian Sea is strongly coupled with moisture accumulation observed over the southwest coast. This study provides strong evidence of a link between moisture transport, extreme rainfall and SST, identifying the southwest coast as a region vulnerable to climate change. Over the northwest coast, the incidence of extreme rainfall is associated with the strengthening of dynamic processes, and the mean monsoon rainfall in this region is increasing in alignment with the rising dynamic component of moisture flux.",
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            "abstractNote": "In this study, we present an extension to existing numerical retrackers of synthetic-aperture radar (SAR) altimetry signals considering a non Gaussian antenna characteristic. To our knowledge at the time of writing, this manuscript presents the most consistent retrieval of geophysical parameters compared to Low Resolution Mode (LRM) retracking results. The novelty is an approximation of the theoretical antenna pattern with a sum of three Gaussian functions to mitigate the sea surface height estimation errors for Sentinel-3A and Sentinel-6A in SAR mode. Additionally, we explain offsets in the derived closed-form equation and describe the mean along-track water velocity ux (later mean line of sight velocity) as function of eastward and northward wind This allows us to mitigate the effects of ux in a SAR stack and a lookup table is generated to correct the sea surface height estimates in SAR mode. Further on, we discuss how this new approach performs with respect to different antenna pattern implementations by processing five months (cycles 72 to 76) of Sentinel-3A and six months (cycles 17 to 42) of Sentinel-6A level 1A data on a global scale. We observe that the new retracking method is, on average, more accurate with respect to LRM. To ensure that the results of the new retracker are not biased, we retrack using the new and the current state-of-the-art method on Sentinel-3A and Sentinel-6A data produced in a Monte Carlo simulation. We analyze the simulation results with respect to the accuracy of sea level anomalies as function of the significant wave height (SWH), considering as reference the LRM sea level anomalies. We show that the accuracy of the new antenna characterization is higher compared to a single Gaussian approximation. © 2025 The Author(s)",
            "publicationTitle": "Advances in Space Research",
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                    "firstName": "D. S.",
                    "lastName": "Silpamol"
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            "abstractNote": "This study investigates and quantifies the characteristics of Mesoscale Convective Systems (MCSs) associated with extreme rainfall events that occurred in 2018, 2019, and 2024, and compares them to heavy rainfall events that took place between 2020 and 2021, with a focus on the southwest coast of India, which has been experiencing devastating torrential rains since 2018, resulting in significant loss of life and property. The MCSs are tracked for these events using high temporal (15-min) and spatial resolution (3 km) Meteosat SEVIRI geostationary satellite observations. The MCS characteristics for the years marked by extreme rain events 2018, 2019, and 2024 stand out as unique, exhibiting an expansive area of approximately 1010 to 1011 m2. The extreme event that occurred on 29 July 2024 was catastrophic, triggering an enormous landslide in Wayanad, a northern district of Kerala, early on 30 July 2024, claiming over 300 lives, with many others still unaccounted for. Compared to 2019, the extreme rainfall event of 2024 is particularly prominent, with a strong clustering of MCS proximal to the coast. The observations indicate that the precipitation associated with 2024 is more severe than it was in 2019. The study highlights that the transition from heavy to extreme heavy rainfall over the southwest coast is facilitated by the aggregation of massive MCS over the southwest coast. The clustering of MCS is a proxy for strong moisture convergence over the southwest coast, which can aid in robust ascending motions and ultimately, extreme rainfall. Through this study, we emphasize the importance of real-time monitoring of MCS over the southwest coast in the current scenario of recurring extreme events over this region. © The Author(s), under exclusive licence to Springer Nature B.V. 2025.",
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            "abstractNote": "Atmospheric Motion Vectors (AMVs) are nearly continuous wind data estimated using satellites, derived from tracking cloud movements and water vapour gradients via sequential geostationary or polar satellite imagery. AMVs have been an integral part of Numerical Weather Prediction (NWP) since the early years, and hence, ensuring their quality is of utmost importance. This work utilizes the observations from the 205 MHz Stratosphere-Troposphere (ST) wind profiler radar placed at the Advanced Centre for Atmospheric Radar Research (ACARR) in Cochin (10.04 (Formula presented.) N, 76.33 (Formula presented.) E), India, to validate 3 years (2017–2019) of AMV data from the Indian Ocean Data Coverage (IODC) mission Climate Data Records (CDR) from Meteosat-8. The AMVs are classified into different atmospheric levels based on their pressure: lower, middle, and upper, and compared with collocated radar wind measurements. A detailed analysis was performed only on upper-level winds as filtering out low-quality AMVs significantly reduced the number of collocations in lower and middle levels. A strong agreement was observed between satellite and radar upper-level wind measurements with biases of (Formula presented.) m (Formula presented.) and 3.07 (Formula presented.) 35.6 (Formula presented.) in wind speed and direction, respectively. Seasonal variability is seen in the wind speed discrepancies, such as more in winter and summer than in spring and autumn, and it can be attributed to the larger vertical shear during summer and winter. The maximum error in upper-level AMV height assignment is quantified to (Formula presented.) km. The observed differences may arise because satellite-derived AMV heights tend to be overestimated (underestimated) in low (high) wind speed conditions. © 2025 Informa UK Limited, trading as Taylor & Francis Group.",
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            "abstractNote": "EUMETSAT is the European Organisation for the Exploitation of Meteorological Satellites, and is responsible for\nmonitoring weather, climate and the environment from space. It is a key partner in the European Union’s Copernicus\nEarth observation programme, which is the world's largest provider of Earth Observation data. In this context, the\nCopernicus Sentinel-3 mission provides crucial data for ocean and weather forecasting, environmental monitoring, and\nclimate change research.\nThe flight operations division at EUMETSAT is responsible for ensuring the smooth operation of the satellites,\nmonitoring and maintaining satellite health status, controlling the satellites, performing mission planning activities,\nand ensuring the collection of the scientific and housekeeping data from the satellites.\nThe EUMETSAT Copernicus Sentinel-3 Flight Control Team are assessing multiple Machine Learning tools for\nperforming novelty detection on spacecraft telemetry data, with the aim of refining and integrating at least one of these\ntools into routine spacecraft health monitoring.\nWith thousands of parameters generated every few seconds, satellite housekeeping telemetry datasets are generally\nassumed to be well suited to the application of machine learning. However, expected ageing effects and well-\nestablished environmental trends/effects can lead to complex evolutions of the data over many years, which are\ntypically not predictable by traditional machine learning (ML) applications. This contributes to the detection of large\nnumbers of “novelties” that are at odds with the fundamental desire of operations teams to focus attention on key\naspects and critical issues. The team at EUMETSAT are therefore looking at the introduction of domain-specific\nknowledge to further enhance the robustness of the ML application outputs and minimise the quantity of false positive\nor trivial detections. In particular, a specific use case has been running on the EUMETSAT ML Framework platform\nfor validating that approach using ML applications with real operational spacecraft housekeeping telemetry (HKTM)\ndata.\nThis paper includes an assessment of two outlier detection tools that have been running in parallel, using different\nmethodologies but utilising the same satellite data, for integration into the routine monitoring concept of the Sentinel-\n3 mission. The assessment is given in terms of both effectiveness and usability, as well as describing efforts made to\nextend and enhance the tool chosen for integration into the routine monitoring concept. Real examples of detected\nsatellite anomalies and micro-meteorite or debris impacts on the satellite are discussed. The results, lessons learned\nand recommendations for potential applicability to other missions are presented",
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            "conferenceName": "18th International Conference on Space Operations (SpaceOps2025)",
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            "place": "Montreal, Canada",
            "date": "26-30 May 2025",
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                    "tag": "Ahmad, Anees"
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                {
                    "tag": "Casonato, Gianni"
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                {
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                    "tag": "Trollope, Ed"
                }
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            "creatorSummary": "Sundström et al.",
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            "itemType": "journalArticle",
            "title": "Evaluation of the dust-dominated total AOD extracted from the PMAp satellite Climate Data Record",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Anu-Maija",
                    "lastName": "Sundström"
                },
                {
                    "creatorType": "author",
                    "firstName": "Marie",
                    "lastName": "Doutriaux-Boucher"
                },
                {
                    "creatorType": "author",
                    "firstName": "Soheila",
                    "lastName": "Jafariserajehlou"
                },
                {
                    "creatorType": "author",
                    "firstName": "Dominika",
                    "lastName": "Leskow-Czyzewska"
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                {
                    "creatorType": "author",
                    "firstName": "Simone",
                    "lastName": "Mantovani"
                },
                {
                    "creatorType": "author",
                    "firstName": "Noemi",
                    "lastName": "Fazzini"
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                    "creatorType": "author",
                    "firstName": "Bertrand",
                    "lastName": "Fougnie"
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                {
                    "creatorType": "author",
                    "firstName": "Federico",
                    "lastName": "Fierli"
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            "abstractNote": "Abstract. The Polar Multi-Sensor Aerosol optical properties product (PMAp) provides global Aerosol Optical Depth (AOD) observations that are retrieved using a combination of measurements from instruments onboard the Metop satellites, including the Global Ozone Monitoring Experiment-2 (GOME-2), the Infrared Atmospheric Sounding Interferometer (IASI), and the Advanced Very High Resolution Radiometer (AVHRR). The PMAp Climate Data Record (CDR), published in 2022, comprises data from the Metop-A and Metop-B satellites covering the period from 2007 to 2019. The PMAp also includes classification for selected aerosol types, including dust. Based on the classification, a dust-dominated total AOD can be extracted. The focus of this work is to assess the dust aerosols in the PMAp CDRs, by analysing the spatio-temporal occurrence of dust and aerosol classification reliability, as well as by carrying out dust-dominated total AOD validation against AErosol RObotic NETwork (AERONET) observations. Our results show that the occurrence and classification of PMAp dust-dominated AOD agrees well with AERONET metrics. For PMAp dust-dominated total AODs, moderate to strong correlations with AERONET (0.45–0.8) are observed, while mean biases exhibit relatively high variability. The root-mean-square errors (RMSEs) typically represent 50 %–80 % of the mean AERONET AOD conditions. As most of the comparisons here occur at relatively high AOD levels over bright land surfaces, where measurement uncertainties and variability are inherently greater, this is somewhat expected. The results also bring up certain challenges, e.g. PMAp AOD overestimation at Central Asian AERONET stations or occasional occurrences of dust-dominated total AODs that appeared as clear outliers in AERONET comparisons. Further investigation is needed to determine their underlying causes. On a larger spatial scale, The PMAp CDRs can capture the expected seasonal variation in dust-affected AODs, such as over the Saharan outflow area, but sampling density can vary across seasons, especially over land. Therefore, full AOD distributions, along with median and mean, should be analyzed to ensure accurate conclusions. Despite challenges, the PMAp CDRs show potential for monitoring global dust aerosol patterns.",
            "publicationTitle": "Atmospheric Measurement Techniques",
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            "place": "",
            "date": "2025-12-02",
            "volume": "18",
            "issue": "23",
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            "pages": "7267-7295",
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            "journalAbbreviation": "Atmos. Meas. Tech.",
            "DOI": "10.5194/amt-18-7267-2025",
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            "language": "en",
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            "tags": [
                {
                    "tag": "Doutriaux Boucher, Marie"
                },
                {
                    "tag": "Fazzini, Noemi"
                },
                {
                    "tag": "Fierli, Federico"
                },
                {
                    "tag": "Fougnie, Bertrand"
                },
                {
                    "tag": "Jafariserajehlou, Soheila"
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                {
                    "tag": "Leskow-Czyzewska, Dominika"
                }
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            "creatorSummary": "Paolella et al.",
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            "itemType": "journalArticle",
            "title": "Assessment of operational non-time-critical Sentinel-6A Michael Freilich radio occultation data: insights into tropospheric GNSS signal cut-off strategies and processor improvements",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Saverio",
                    "lastName": "Paolella"
                },
                {
                    "creatorType": "author",
                    "firstName": "Axel",
                    "lastName": "Von Engeln"
                },
                {
                    "creatorType": "author",
                    "firstName": "Sebastiano",
                    "lastName": "Padovan"
                },
                {
                    "creatorType": "author",
                    "firstName": "Riccardo",
                    "lastName": "Notarpietro"
                },
                {
                    "creatorType": "author",
                    "firstName": "Christian",
                    "lastName": "Marquardt"
                },
                {
                    "creatorType": "author",
                    "firstName": "Francisco",
                    "lastName": "Sancho"
                },
                {
                    "creatorType": "author",
                    "firstName": "Veronica",
                    "lastName": "Rivas Boscan"
                },
                {
                    "creatorType": "author",
                    "firstName": "Nicolas",
                    "lastName": "Morew"
                },
                {
                    "creatorType": "author",
                    "firstName": "Francisco",
                    "lastName": "Martin Alemany"
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            ],
            "abstractNote": "Abstract. This study presents an exhaustive assessment of the Sentinel-6A Michael Freilich radio occultation (RO) data, focusing on the evaluation of bending angle products derived from the EUMETSAT-provided RO non-time-critical (RO-NTC) data collected between September and December 2021. The RO instrument has been performing very well since its launch in 2020, consistently surpassing its mission target of providing 770 quality-checked bending angle profiles per day. With a remarkable availability rate of 99.9 % during full operational periods, the mission demonstrates robust performance and reliability. A detailed examination of the signal-to-noise ratio (SNR) and phase noise indicates the high-quality nature of the data. The study also analyses the benefits of employing SNR-based signal cut-off strategies and L2 signal extrapolation in the troposphere, where it is more susceptible to SNR reductions. Furthermore, the paper details some processor enhancements, which led to improved bending angle statistics, particularly below 22 km altitude. Additionally, the analysis revealed terrestrial interference signals on the L2 frequency, confirming that they do not significantly compromise the Sentinel-6A RO data quality. The validation of the EUMETSAT processed Sentinel-6A RO-NTC data against the European Centre for Medium-Range Weather Forecasts (ECMWF) short-range forecasts and comparisons with Metop-B/C and EUMETSAT-processed SPIRE occultations, highlights the reduction in random error and modifications in the tropospheric bias structure, a result of the enhancements in data processing techniques. This comprehensive analysis confirms the high quality of the EUMETSAT Sentinel-6A bending angle products and underlines the satellite's contribution to the EUMETSAT legacy of precise and reliable RO data for weather forecasting and climate research.",
            "publicationTitle": "Atmospheric Measurement Techniques",
            "publisher": "Copernicus GmbH",
            "place": "",
            "date": "2025-07-02",
            "volume": "18",
            "issue": "13",
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            "pages": "2825-2846",
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            "DOI": "10.5194/amt-18-2825-2025",
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                    "tag": "Marquardt, Christian"
                },
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                    "tag": "Martin Alemany, Francisco"
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                    "tag": "Morew, Nicolas"
                },
                {
                    "tag": "Notarpietro, Riccardo"
                },
                {
                    "tag": "Padovan, Sebastiano"
                },
                {
                    "tag": "Paolella, Saverio"
                },
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                    "tag": "Rivas Boscan, Veronica"
                },
                {
                    "tag": "Sancho, Francisco"
                },
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                    "tag": "Von Engeln, Axel"
                }
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