Remote sensing of aerosol water fraction, dry size distribution and soluble fraction using multi-angle, multi-spectral polarimetry

نویسندگان

چکیده

Abstract. A framework to infer volume water fraction, soluble fraction and dry size distributions of fine-mode aerosol from multi-angle, multi-spectral polarimetry retrievals column-averaged ambient properties is presented. The method applied observations the Research Scanning Polarimeter (RSP) obtained during two NASA aircraft campaigns, namely Aerosol Cloud meTeorology Interactions oVer western ATlantic Experiment (ACTIVATE) Cloud, Aerosol, Monsoon Processes Philippines (CAMP2Ex). All are statistically evaluated using in situ data. Volume inferred retrieved real part refractive index, assuming a index 1.54 by applying mixing rule obtain effective index. uncertainties resulting this simplified model discussed estimated be lower than 0.2 decreasing with increasing fraction. daily mean fractions correlate well values absolute difference 0.09. Polarimeter-retrieved radius for data shown increase as function expected. Furthermore, variance also increases radius, which we show consistent an external mixture insoluble aerosol. relative variations over observation period then used estimate Daily results situ-observed sulfate mass correlation coefficient 0.79. Subsequently, derive their counterparts. While radii RSP similar ranges, generally substantially smaller ACTIVATE deployments, may due biases or observations, both. Both indicate dominance low hygroscopicity CAMP2Ex campaigns. indicates high degree particles hygroscopicity. These evaluation uptake atmospheric models. allows us variation concentration larger specific limit, can proxy cloud condensation nucleus concentrations. This satellite expected available near future.

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ژورنال

عنوان ژورنال: Atmospheric Measurement Techniques

سال: 2022

ISSN: ['1867-1381', '1867-8548']

DOI: https://doi.org/10.5194/amt-15-7411-2022