With its observational frequency of 15 minutes, the Meteosat Second Generation (MSG) geostationary satellite offers a great potential to monitor aerosol transport using Spinning Enhanced Visible and Infra-Red Imager (SEVIRI) data. To explore this potential, an algorithm for the retrieval of aerosol optical properties has been developed for use over the ocean. It is a multispectral algorithm based on the single-view algorithm for the Along Track Scanning Radiometer (ATSR-2) (Veefkind and de Leeuw, 1998) which has been adapted to the corresponding channels of SEVIRI (635 nm, 810 nm and 1640 nm). The SEVIRI Aerosol Retrieval Algorithm (SARA) provides the Aerosol Optical Depth (AOD) for these channels. To illustrate its capabilities, the applic...
Aerosols are inportant for many processes in the atmosphere. Aerosols are a leading uncertainty in p...
Thanks to its observational frequency of 15 min, the Meteosat Second Generation (MSG) geostationary ...
Geostationary sensors bear the potential to derive and analyze daily and seasonal trends of aerosol ...
International audienceThe SEVIRI instrument on board Meteosat Second Generation (MSG) offers new cap...
In order to investigate the high temporal variability of aerosols properties over large areas, we ar...
The Spinning Enhanced Visible and Infra Red Imager (SEVIRI) radiometer, on board on Meteosat Second ...
Geostationary ocean colour sensors have not yet been launched into space, but are under consideratio...
An aerosol retrieval algorithm for the first Geostationary Ocean Color Imager (GOCI) to be launched ...
This paper presents two algorithms used to derive Aerosol Optical Depth (AOD) from a synergy of sate...
A novel approach for the joint retrieval of aerosol optical depth (AOD) and aerosol type, using Mete...
International audienceThe Spinning Enhanced Visible and InfraRed Imager (SEVIRI) aboard Meteosat Sec...
International audience[1] An algorithm was previously developed and validated, which is capable of d...
Since February 2003, the Spinning Enhanced Visible and Infrared Imager (SEVIRI) aboard the first Met...
International audienceGeostationary meteorological satellites are unique tools to monitor atmospheri...
This document describes the algorithms for simultaneous remote sensing of aerosol from EOS-MODIS ove...
Aerosols are inportant for many processes in the atmosphere. Aerosols are a leading uncertainty in p...
Thanks to its observational frequency of 15 min, the Meteosat Second Generation (MSG) geostationary ...
Geostationary sensors bear the potential to derive and analyze daily and seasonal trends of aerosol ...
International audienceThe SEVIRI instrument on board Meteosat Second Generation (MSG) offers new cap...
In order to investigate the high temporal variability of aerosols properties over large areas, we ar...
The Spinning Enhanced Visible and Infra Red Imager (SEVIRI) radiometer, on board on Meteosat Second ...
Geostationary ocean colour sensors have not yet been launched into space, but are under consideratio...
An aerosol retrieval algorithm for the first Geostationary Ocean Color Imager (GOCI) to be launched ...
This paper presents two algorithms used to derive Aerosol Optical Depth (AOD) from a synergy of sate...
A novel approach for the joint retrieval of aerosol optical depth (AOD) and aerosol type, using Mete...
International audienceThe Spinning Enhanced Visible and InfraRed Imager (SEVIRI) aboard Meteosat Sec...
International audience[1] An algorithm was previously developed and validated, which is capable of d...
Since February 2003, the Spinning Enhanced Visible and Infrared Imager (SEVIRI) aboard the first Met...
International audienceGeostationary meteorological satellites are unique tools to monitor atmospheri...
This document describes the algorithms for simultaneous remote sensing of aerosol from EOS-MODIS ove...
Aerosols are inportant for many processes in the atmosphere. Aerosols are a leading uncertainty in p...
Thanks to its observational frequency of 15 min, the Meteosat Second Generation (MSG) geostationary ...
Geostationary sensors bear the potential to derive and analyze daily and seasonal trends of aerosol ...