The inter-comparison of AATSR aerosol optical depth retrievals from various algorithms

• Main Authors: Che, Yahui, Xue, Yong, Xu, Hui, Mikusauskas, Romas, Lu, She
• Format: Conference Object
• Language: English
• Published: 2015
• Subjects: 000 Computer science; information & general works; Aerosol Robotic Network
• Online Access: http://repository.londonmet.ac.uk/4634/; https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7325671; http://repository.londonmet.ac.uk/4634/1/Romas-edited.pdf

The project aerosol-CCI as part of European Space Agency (ESA) Climate Change Initiative (CCI) has provided three aerosol retrieval algorithms for the Advanced Along-Track Scanning Radiometer (AATSR) aboard on ENVISAT. For the purpose of estimating different performance of these three algorithms in Asia, in this paper we compared the Aerosol Optical Depth (AOD) of L2 data (10km×10km) including FMI AATSR Dual-view ADV algorithm, the Oxford RAL Aerosol and Cloud retrieval (ORAC) algorithm and the Swansea University AATSR retrieval (SU) algorithm with the AErosol RObotic NETwork (AERONET) and the China Aerosol Remote Sensing Network (CARSNET) data separately. The result shows that the algorithms of ADV and SU have good performance on the retrieval of AOD, and the ORAC algorithm has relative lower precision than other two algorithms.