SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe

Ajtai, Nicolae; Mereuță, Alexandru; Ştefănie, Horaţiu; Radovici, Andrei; Botezan, Camelia; Zawadzka-Mańko, Olga; Stachlewska, Iwona S.; Stebel, K.; Zehner, Claus

doi:10.3390/rs13050844

Cited by 4 publications

(4 citation statements)

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“…Validation against ground-based sun-photometers, located in Romania and Poland, using the data from 2014, showed generally good agreements with country mean correlation coefficients (R) between 0.61 and 0.62, a bias of 0.09-0.12, and an RMSE of 0.12-0.14, but did not correlate as well with the 3 km AOD product from MODIS. For more details see [64].…”

Section: Discussionmentioning

confidence: 99%

“…SEVIRI AOD did not correlate as well as with the 3 km AOD product from MODIS, with R and biases between 0.32 and 0.39, and 0.07 and 0.11, respectively. Detailed validation results for the individual AERONET and Poland-AOD sites, as well as map comparisons between SEVIRI and MODIS AOD, are given in [64]. The reference data for the validation of satellite-based PM 2.5 concentrations were PM 2.5 observations from the ground-based national air quality networks.…”

Section: Validation Of Seviri Aodmentioning

confidence: 99%

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SAMIRA-SAtellite Based Monitoring Initiative for Regional Air Quality

et al. 2021

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The satellite based monitoring initiative for regional air quality (SAMIRA) initiative was set up to demonstrate the exploitation of existing satellite data for monitoring regional and urban scale air quality. The project was carried out between May 2016 and December 2019 and focused on aerosol optical depth (AOD), particulate matter (PM), nitrogen dioxide (NO2), and sulfur dioxide (SO2). SAMIRA was built around several research tasks: 1. The spinning enhanced visible and infrared imager (SEVIRI) AOD optimal estimation algorithm was improved and geographically extended from Poland to Romania, the Czech Republic and Southern Norway. A near real-time retrieval was implemented and is currently operational. Correlation coefficients of 0.61 and 0.62 were found between SEVIRI AOD and ground-based sun-photometer for Romania and Poland, respectively. 2. A retrieval for ground-level concentrations of PM2.5 was implemented using the SEVIRI AOD in combination with WRF-Chem output. For representative sites a correlation of 0.56 and 0.49 between satellite-based PM2.5 and in situ PM2.5 was found for Poland and the Czech Republic, respectively. 3. An operational algorithm for data fusion was extended to make use of various satellite-based air quality products (NO2, SO2, AOD, PM2.5 and PM10). For the Czech Republic inclusion of satellite data improved mapping of NO2 in rural areas and on an annual basis in urban background areas. It slightly improved mapping of rural and urban background SO2. The use of satellites based AOD or PM2.5 improved mapping results for PM2.5 and PM10. 4. A geostatistical downscaling algorithm for satellite-based air quality products was developed to bridge the gap towards urban-scale applications. Initial testing using synthetic data was followed by applying the algorithm to OMI NO2 data with a direct comparison against high-resolution TROPOMI NO2 as a reference, thus allowing for a quantitative assessment of the algorithm performance and demonstrating significant accuracy improvements after downscaling. We can conclude that SAMIRA demonstrated the added value of using satellite data for regional- and urban-scale air quality monitoring.

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Section: Discussionmentioning

confidence: 99%

Section: Validation Of Seviri Aodmentioning

confidence: 99%

SAMIRA-SAtellite Based Monitoring Initiative for Regional Air Quality

et al. 2021

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“…Extensive validation of the NRT SEVIRI retrieval of the AOD product and the AOD uncertainties was conducted by the University of Babes-Bolyai (Romanian SAMIRA partner) and it was described in [36]. Their study was focused on analyzing the correlations between the four-month long SEVIRI AOD dataset (June-September 2014, retrieved in a simulated NRT mode) and the temporally closest AOD data of both ground-based (AERONET, PolandAOD) and satellite (MODIS pixels) products.…”

Section: Example Of the Nrt Calculationsmentioning

confidence: 99%

Near-Real-Time Application of SEVIRI Aerosol Optical Depth Algorithm

2020

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Within the framework of the Satellite-based Monitoring Initiative for Regional Air quality (SAMIRA) project, the near-real-time (NRT) operation has been documented for an in-house developed algorithm used for the retrieval of aerosol optical depth (AOD) maps from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) sensor onboard the Meteosat Second Generation (MSG). With the frequency of 15 min at a spatial resolution of roughly 5.5 × 5.5 km the AOD maps are provided for the country domains of Poland, the Czech Republic, Romania, and Southern Norway. A significant improvement has been reported in terms of modification of the existing prototype algorithm that it suits the operational NRT AOD retrieval for an extended area. This is mainly due to the application of the optimal interpolation method for the AOD estimation on reference days with the use of ground-based measurements of the Aerosol Robotic Network (AERONET) and the Aerosol Research Network (PolandAOD-NET) as well as simulations of the Copernicus Atmosphere Monitoring Service (CAMS). The main issues that have been addressed regarding surface reflectance estimation, cloud screening and uncertainty calculation. Exemplary maps of the NRT retrieval have been presented.

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“…Gupta et al [40] validated the global land surface Terra MODIS data set from 2000 to 2015 and the Aqua MODIS data set from 2003 to 2015 through AERONET data, and the results showed that Terra MODIS showed more changes over time. Ajtai et al [41] validated aerosol optical depth (AOD) from Spinning Enhanced Visible Infrared Radiometer (SEVIRI) data using data from six AERONET stations in Romania and the Baltic. Due to the limited availability of measured data over the ocean, in this study, we referred to the previous experience [42,43].…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean

Cao,

Luan,

Zhou

et al. 2023

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The atmosphere over the ocean is an important research field that involves multiple aspects such as climate change, atmospheric pollution, weather forecasting, and marine ecosystems. It is of great significance for global sustainable development. Satellites provide a wide range of measurements of marine aerosol optical properties and are very important to the study of aerosol characteristics over the ocean. In this study, aerosol optical depth (AOD) data from seventeen AERONET (Aerosol Robotic Network) stations were used as benchmark data to comprehensively evaluate the data accuracy of six aerosol optical thickness products from 2013 to 2020, including MODIS (Moderate-resolution Imaging Spectrometer), VIIRS (Visible Infrared Imaging Radiometer Suite), MISR (Multi-Angle Imaging Spectrometer), OMAERO (OMI/Aura Multi-wavelength algorithm), OMAERUV (OMI/Aura Near UV algorithm), and CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) in the East Asian Ocean. In the East Asia Sea, VIIRS AOD products generally have a higher correlation coefficient (R), expected error within ratio (EE within), lower root mean square error (RMSE), and median bias (MB) than MODIS AOD products. The retrieval accuracy of AOD data from VIIRS is the highest in spring. MISR showed a higher EE than other products in the East Asian Ocean but also exhibited systematic underestimation. In most cases, the OMAERUV AOD product data are of better quality than OMAERO, and OMAERO overestimates AOD throughout the year. The CALIPSO AOD product showed an apparent underestimation of the AOD in different seasons (EE Below = 58.98%), but when the AOD range is small (0 < AOD < 0.1), the CALIPSO data accuracy is higher compared with other satellite products under small AOD range. In the South China Sea, VIIRS has higher data accuracy than MISR, while in the Bohai-Yellow Sea, East China Sea, Sea of Japan, and the western Pacific Ocean, MISR has the best data accuracy. MODIS and VIIRS show similar trends in R, EE within, MB, and RMSE under the influence of AOD, Angstrom exponent (AE), and precipitable water. The study on the temporal and spatial distribution of AOD in the East Asian Ocean shows that the annual variation of AOD is different in different sea areas, and the ocean in the coastal area is greatly affected by land-based pollution. In contrast, the AOD values in the offshore areas are lower, and the aerosol type is mainly clean marine type aerosol. These findings can help researchers in the East Asian Ocean choose the most accurate and reliable satellite AOD data product to better study atmospheric aerosols’ impact and trends.

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SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe

Cited by 4 publications

References 101 publications

SAMIRA-SAtellite Based Monitoring Initiative for Regional Air Quality

SAMIRA-SAtellite Based Monitoring Initiative for Regional Air Quality

Near-Real-Time Application of SEVIRI Aerosol Optical Depth Algorithm

Evaluation and Comparison of Multi-Satellite Aerosol Optical Depth Products over East Asia Ocean

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