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

Remote Sensing

Olga Zawadzka-Manko¹  KrzysztofM. Markowicz¹  IwonaS. Stachlewska¹ 

[1] Institute of Geophysics, Faculty of Physics, University of Warsaw, 02-093 Warsaw, Poland;

关键词: aerosol optical depth;    SEVIRI;    satellite remote sensing;    CAMS;   

DOI  :  10.3390/rs12091481

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown