[AAS01-P06] Large Eddy Simulation and 3D Radiative Transfer Modeling in Support of Multi-Angle Remote Sensing of Clouds and Aerosols, With or Without Imaging
Keywords:Clouds, Aerosols, Large eddy simulation, Three-dimensional radiative transfer, Inverse problems, Remote sensing
We will report on three projects that use the "LES + 3D RT" toolbox at JPL. They cover the two broad categories of 3D RT issues: sub-pixel variability and cross-pixel radiative exchanges. Non-imaging (single-pixel) instruments, such as the Aerosol Polarimetric Sensor (APS) on the (doomed) Glory mission, only has the former problem. Airborne imagers, such as the Multi-angle Spectro-Polarimetric Imager (MSPI) with very high spatial resolution are affected by the later.
We used LES clouds and a proprietary Monte Carlo 3D RT model to explore the non-linear mixing of aerosol and broken cumulus cloud signals in the APS footprint (~10 km) over a wide range of viewing angles. We used the same LES clouds and an open-source deterministic 3D RT model to demonstrate 3D cloud reconstruction using a new kind of tomography, and then applied it to clouds captured with AirMSPI multi-angle/multi-pixel data. Finally, we retrieve from AirMSPI images of marine stratocumulus the radiative smoothing scale (where pixel cross-talk becomes less significant), and describe a path toward a robust retrieval of optical and geometrical thicknesses.