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3D cloud tomography and droplet size retrieval from multi-angle polarimetric imaging of scattered sunlight from above

Levis, Aviad and Davis, Anthony B. and Loveridge, Jesse R. and Schechner, Yoav Y. (2021) 3D cloud tomography and droplet size retrieval from multi-angle polarimetric imaging of scattered sunlight from above. In: Polarization Science and Remote Sensing X. No.11833. Society of Photo-Optical Instrumentation Engineers , Bellingham, WA, Art. No. 1183305. ISBN 9781510645042.

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Tomography aims to recover a three-dimensional (3D) density map of a medium or an object. In medical imaging, it is extensively used for diagnostics via X-ray computed tomography (CT). We define and derive a tomography of cloud droplet distributions via passive remote sensing. We use multi-view polarimetric images to fit a 3D polarized radiative transfer (RT) forward model. Our motivation is 3D volumetric probing of vertically-developed convectively-driven clouds that are ill-served by current methods in operational passive remote sensing. Current techniques are indeed based on strictly 1D RT modeling and applied to a single cloudy pixel, where cloud geometry defaults to that of a plane-parallel slab. Incident unpolarized sunlight, once scattered by cloud droplets, changes its polarization state according to droplet size. Therefore, polarimetric measurements in the rainbow and glory angular regions can be used to infer the droplet size distribution. This work defines and derives a framework for a full 3D tomography of cloud droplets for both their mass concentration in space and their distribution across a range of sizes. This gridded 3D retrieval of key microphysical properties is made tractable by our novel approach that involves a restructuring and partial linearization of an open-source polarized 3D RT code to accommodate a special two-step iterative optimization technique. Physically-realistic synthetic clouds are used to demonstrate the methodology with rigorous uncertainty quantification, while a real-world cloud imaged by AirMSPI is processed to illustrate the new remote sensing capability.

Item Type:Book Section
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URLURL TypeDescription
Levis, Aviad0000-0001-7307-632X
Loveridge, Jesse R.0000-0002-7127-6907
Schechner, Yoav Y.0000-0002-4022-7037
Additional Information:© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE). We thank I. Koren, D. Rosenfeld, A. Aides, D. Diner, L. Di Girolamo, and G. Matheou for support and fruitful discussions. We acknowledge K.F. Evans and A. Doicu for the online vSHDOM code. The authors are grateful to the US-Israel Binational Science Foundation (BSF grant 2016325) for continuously facilitating our international collaboration. Aviad Levis’ work is supported by the Zuckerman and the Viterbi postdoctoral fellowships. Yoav Schechner is a Landau Fellow supported by the Taub Foundation. His work was conducted in the Ollendorff Minerva Center (BMBF). Anthony Davis’ work was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004), supported by NASA’s SMD/ESD/(RST,TASNPP) and ESTO/AIST programs. Support for Jesse Loveridge’s work from JPL under contract #147871 is gratefully acknowledged. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 810370: CloudCT).
Funding AgencyGrant Number
Binational Science Foundation (USA-Israel)2016325
Zuckerman Research FellowshipUNSPECIFIED
Viterbi Research FellowshipUNSPECIFIED
Taub FoundationUNSPECIFIED
European Research Council (ERC)810370
Subject Keywords:polarization, 3D vector radiative transfer, inverse problems, tomography, remote sensing, convective clouds, cloud microphysics, aerosol plumes, AirMSPI
Issue or Number:11833
Record Number:CaltechAUTHORS:20220422-588050100
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Official Citation:Aviad Levis, Anthony B. Davis, Jesse R. Loveridge, and Yoav Y. Schechner "3D cloud tomography and droplet size retrieval from multi-angle polarimetric imaging of scattered sunlight from above", Proc. SPIE 11833, Polarization Science and Remote Sensing X, 1183305 (1 August 2021);
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:114426
Deposited By: Tony Diaz
Deposited On:25 Apr 2022 18:49
Last Modified:25 Apr 2022 18:49

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