Influence of 3D effects on 1D aerosol retrievals in synthetic, partially clouded scenes. (February 2016)

• Record Type: Journal Article
• Authors: Stap, F.A.; Hasekamp, O.P.; Emde, C.; Röckmann, T.
• Is Part Of: Journal of quantitative spectroscopy & radiative transfer. Volume 170(2016:Feb.)
• Page Start: 54
• Page End: 68
• Publication Date: 2016-02
• Subjects: Aerosol -- Clouds -- 3D effects -- Remote sensing; Spectrum analysis -- Periodicals; Radiation -- Periodicals; Analyse spectrale -- Périodiques; Rayonnement -- Périodiques; Radiation; Spectrum analysis; Periodicals; 543.0858
• DOI: 10.1016/j.jqsrt.2015.10.008
• Languages: English
• ISSNs: 0022-4073

Abstract

Abstract: An important challenge in aerosol remote sensing is to retrieve aerosol properties in the vicinity of clouds and in cloud contaminated scenes. Satellite based multi-wavelength, multi-angular, photo-polarimetric instruments are particularly suited for this task as they have the ability to separate scattering by aerosol and cloud particles. Simultaneous aerosol/cloud retrievals using 1D radiative transfer codes cannot account for 3D effects such as shadows, cloud induced enhancements and darkening of cloud edges. In this study we investigate what errors are introduced on the retrieved optical and micro-physical aerosol properties, when these 3D effects are neglected in retrievals where the partial cloud cover is modeled using the Independent Pixel Approximation. To this end a generic, synthetic data set of PARASOL like observations for 3D scenes with partial, liquid water cloud cover is created. It is found that in scenes with random cloud distributions (i.e. broken cloud fields) and either low cloud optical thickness or low cloud fraction, the inversion algorithm can fit the observations and retrieve optical and micro-physical aerosol properties with sufficient accuracy. In scenes with non-random cloud distributions (e.g. at the edge of a cloud field) the inversion algorithm can fit the observations, however, here the retrieved real part of the refractive indices of both modes is biased. Abstract : Highlights: An algorithm for retrieval of both aerosol and cloud properties is presented. Radiative transfer models of 3D, partially clouded scenes are simulated. Errors introduced in the retrieved aerosol properties are discussed.