Dust Detection and Optical Depth Retrieval Using MSG‑SEVIRI Data

• Published in: Atmosphere
• Main Authors: Filomena Romano, Elisabetta Ricciardelli, Domenico Cimini, Francesco Di Paola, Mariassunta Viggiano
• Format: Text
• Language: English
• Published: Multidisciplinary Digital Publishing Institute 2013
• Subjects: dust optical depth; dust detection; MSG; SEVIRI; Aerosol Robotic Network
• Online Access: https://doi.org/10.3390/atmos4010035

Thanks to its observational frequency of 15 min, the Meteosat Second Generation (MSG) geostationary satellite offers a great potential to monitor dust storms. To explore this potential, an algorithm for the detection and the retrieval of dust aerosol optical properties has been tested. This is a multispectral algorithm based on visible and infrared data which has been applied to 15 case studies selected between 2007 and 2011. The algorithm has been validated in the latitude–longitude box between 30 and 50 degrees north, and −10 and 20 degrees east, respectively. Hereafter we present the obtained results that have been validated against Aerosol Robotic Network (AERONET) ground-based measurements and compared with the retrievals from the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Terra and Aqua satellites. The dust aerosol optical depth variations observed at the AERONET sites are well reproduced, showing good correlation of about 0.77, and a root mean square difference within 0.08, and the spatial patterns retrieved by using the algorithm developed are in agreement with those observed by MODIS.