Abstract

Abstract. Polarimeter retrievals can provide detailed and accurate information on aerosol microphysical and optical properties. The SRON aerosol algorithm is one of the few retrieval approaches that can fully exploit this information. The algorithm core is a two-mode retrieval in which effective radius (reff), effective variance (veff), refractive index, and column number are retrieved for each mode; the fraction of spheres for the coarse mode and an aerosol layer height are also retrieved. Further, land and ocean properties are retrieved simultaneously with the aerosol properties. In this contribution, we extend the SRON aerosol algorithm by implementing a multimode approach in which each mode has fixed reff and veff. In this way the algorithm obtains more flexibility in describing the aerosol size distribution and avoids the high nonlinear dependence of the forward model on the aerosol size parameters. Conversely, the approach depends on the choice of the modes. We compare the performances of multimode retrievals (varying the number of modes from 2 to 10) with those based on the original (parametric) two-mode approach. Experiments with both synthetic measurements and real measurements (PARASOL satellite level-1 data of intensity and polarization) are conducted. The synthetic data experiments show that multimode retrievals are good alternatives to the parametric two-mode approach. It is found that for multimode approaches, with five modes the retrieval results can already be good for most parameters. The real data experiments (validated with AERONET data) show that, for the aerosol optical thickness (AOT), multimode approaches achieve higher accuracy than the parametric two-mode approach. For single scattering albedo (SSA), both approaches have similar performances.

Highlights

  • Aerosols such as dust, smoke, sulfate, and volcanic ash affect the Earth’s climate by interaction with radiation and by modifying the properties of clouds

  • We can conclude that the multimode retrievals with nmode > 4 work slightly better than the parametric two-mode retrieval for the fine- and coarse-mode imaginary part of the refractive index

  • For the purpose of this study we extended the SRON aerosol algorithm – which was based on a parametric two-mode approach – to include capability of a multimode retrieval

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Summary

Introduction

Smoke, sulfate, and volcanic ash affect the Earth’s climate by interaction with radiation (direct effect) and by modifying the properties of clouds (indirect effect). In order to reduce the large uncertainties in aerosol direct and indirect effects, satellite remote sensing is of crucial importance (Lee et al, 2009). Satellite data of intensity and polarization (polarized intensity) that observe a ground pixel under multiple viewing angles contain the richest set of information of aerosols in our atmosphere from a passive remotesensing perspective (Kokhanovsky, 2015). To acquire useful knowledge based on these data, accurate retrievals of aerosols’ microphysical and optical properties are essential. Aerosol microphysical properties include the particle effective radius, the effective variance, the refractive index, and the particle shape.

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