Next Article in Journal
Unsupervised Machine Learning on Domes in the Lunar Gardner Region: Implications for Dome Classification and Local Magmatic Activities on the Moon
Previous Article in Journal
Can Nighttime Satellite Imagery Inform Our Understanding of Education Inequality?
 
 
Article

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

1
Faculty of Environmental Science and Engineering, Babeș-Bolyai University, 30 Fantanele St., 400294 Cluj-Napoca, Romania
2
Faculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland
3
NILU—Norwegian Institute for Air Research NILU, Instituttveien 18, 2007 Kjeller, Norway
4
European Space Research Institute, European Space Agency, 00044 Frascati, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Manuel Antón
Remote Sens. 2021, 13(5), 844; https://doi.org/10.3390/rs13050844
Received: 13 January 2021 / Revised: 12 February 2021 / Accepted: 18 February 2021 / Published: 24 February 2021
(This article belongs to the Section Atmospheric Remote Sensing)
This paper presents the validation results of Aerosol Optical Depth (AOD) retrieved from the Spinning Enhanced Visible Infrared Radiometer (SEVIRI) data using the near-real-time algorithm further developed in the frame of the Satellite-based Monitoring Initiative for Regional Air quality (SAMIRA) project. The SEVIRI AOD was compared against multiple data sources: six stations of the Aerosol Robotic Network (AERONET) in Romania and Poland, three stations of the Aerosol Research Network in Poland (Poland–AOD) and Moderate Resolution Imaging Spectroradiometer (MODIS) data overlapping Romania, Czech Republic and Poland. The correlation values between a four-month dataset (June–September 2014) from SEVIRI and the closest temporally available data for both ground-based and satellite products were identified. The comparison of the SEVIRI AOD with the AERONET AOD observations generally shows a good correlation (r = 0.48–0.83). The mean bias is 0.10–0.14 and the root mean square error RMSE is between 0.11 and 0.15 for all six stations cases. For the comparison with Poland–AOD correlation values are 0.55 to 0.71. The mean bias is 0.04–0.13 and RMSE is between 0.10 and 0.14. As for the intercomparison to MODIS AOD, correlations values were generally lower (r = 0.33–0.39). Biases of −0.06 to 0.24 and RMSE of 0.04 to 0.28 were in good agreement with the ground–stations retrievals. The validation of SEVIRI AOD with AERONET results in the best correlations followed by the Poland–AOD network and MODIS retrievals. The average uncertainty estimates are evaluated resulting in most of the AOD values falling above the expected error range. A revised uncertainty estimate is proposed by including the observed bias form the AERONET validation efforts. View Full-Text
Keywords: SEVIRI; AERONET; MODIS; Aerosol Optical Depth; validation SEVIRI; AERONET; MODIS; Aerosol Optical Depth; validation
Show Figures

Graphical abstract

MDPI and ACS Style

Ajtai, N.; Mereuta, A.; Stefanie, H.; Radovici, A.; Botezan, C.; Zawadzka-Manko, O.; Stachlewska, I.S.; Stebel, K.; Zehner, C. SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe. Remote Sens. 2021, 13, 844. https://doi.org/10.3390/rs13050844

AMA Style

Ajtai N, Mereuta A, Stefanie H, Radovici A, Botezan C, Zawadzka-Manko O, Stachlewska IS, Stebel K, Zehner C. SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe. Remote Sensing. 2021; 13(5):844. https://doi.org/10.3390/rs13050844

Chicago/Turabian Style

Ajtai, Nicolae, Alexandru Mereuta, Horatiu Stefanie, Andrei Radovici, Camelia Botezan, Olga Zawadzka-Manko, Iwona S. Stachlewska, Kerstin Stebel, and Claus Zehner. 2021. "SEVIRI Aerosol Optical Depth Validation Using AERONET and Intercomparison with MODIS in Central and Eastern Europe" Remote Sensing 13, no. 5: 844. https://doi.org/10.3390/rs13050844

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop