Coupled retrieval of aerosol properties and land surface reflection using the Airborne Multiangle SpectroPolarimetric Imager

• Published in: Journal of Geophysical Research: Atmospheres
• Main Authors: Xu, Feng, van Harten, Gerard, Diner, David J., Kalashnikova, Olga V., Seidel, Felix C., Bruegge, Carol J., Dubovik, Oleg
• Other Authors: Laboratoire d’Optique Atmosphérique - UMR 8518 (LOA), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2017
• Subjects: aerosol remote sensing over land; radiative transfer; multiangle radiometry; polarimetry; [SDU]Sciences of the Universe [physics]; Aerosol Robotic Network
• Online Access: https://hal-insu.archives-ouvertes.fr/insu-03686238; https://hal-insu.archives-ouvertes.fr/insu-03686238/document; https://hal-insu.archives-ouvertes.fr/insu-03686238/file/JGR%20Atmospheres%20-%202017%20-%20Xu%20-%20Coupled%20retrieval%20of%20aerosol%20properties%20and%20land%20surface%20reflection%20using%20the%20Airborne.pdf; https://doi.org/10.1002/2017JD026776

International audience The Airborne Multiangle SpectroPolarimetric Imager (AirMSPI) has been flying aboard the NASA ER-2 high-altitude aircraft since October 2010. In step-and-stare operation mode, AirMSPI acquires radiance and polarization data in bands centered at 355, 380, 445, 470*, 555, 660*, 865*, and 935 nm (* denotes polarimetric bands). The imaged area covers about 10 km by 11 km and is typically observed from nine viewing angles between ±66° off nadir. For a simultaneous retrieval of aerosol properties and surface reflection using AirMSPI, an efficient and flexible retrieval algorithm has been developed. It imposes multiple types of physical constraints on spectral and spatial variations of aerosol properties as well as spectral and temporal variations of surface reflection. Retrieval uncertainty is formulated by accounting for both instrumental errors and physical constraints. A hybrid Markov-chain/adding-doubling radiative transfer (RT) model is developed to combine the computational strengths of these two methods in modeling polarized RT in vertically inhomogeneous and homogeneous media, respectively. Our retrieval approach is tested using 27 AirMSPI data sets with low to moderately high aerosol loadings, acquired during four NASA field campaigns plus one AirMSPI preengineering test flight. The retrieval results including aerosol optical depth, single-scattering albedo, aerosol size and refractive index are compared with Aerosol Robotic Network reference data. We identify the best angular combinations for 2, 3, 5, and 7 angle observations from the retrieval quality assessment of various angular combinations. We also explore the benefits of polarimetric and multiangular measurements and target revisits in constraining aerosol property and surface reflection retrieval.