Articles | Volume 15, issue 16
Research article
25 Aug 2022
Research article |  | 25 Aug 2022

Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean

Meng Gao, Kirk Knobelspiesse, Bryan A. Franz, Peng-Wang Zhai, Andrew M. Sayer, Amir Ibrahim, Brian Cairns, Otto Hasekamp, Yongxiang Hu, Vanderlei Martins, P. Jeremy Werdell, and Xiaoguang Xu

Data sets

Aerosol Characterization from Polarimeter and Lidar Campaign ACEPOL Science Team

Short summary
In this work, we assessed the pixel-wise retrieval uncertainties on aerosol and ocean color derived from multi-angle polarimetric measurements. Standard error propagation methods are used to compute the uncertainties. A flexible framework is proposed to evaluate how representative these uncertainties are compared with real retrieval errors. Meanwhile, to assist operational data processing, we optimized the computational speed to evaluate the retrieval uncertainties based on neural networks.