EVALUATION OF DISTRIBUTED SYSTEM MISSION (DSM) ARCHITECTURES FOR CLOUDBOW RETRIEVALS USING THE HYPER-ANGULAR RAINBOW POLARIMETER (HARP)

Author/Creator ORCID

Date

2021-01-01

Department

Physics

Program

Physics, Atmospheric

Citation of Original Publication

Rights

This item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://aok.lib.umbc.edu/specoll/repro.php or contact Special Collections at speccoll(at)umbc.edu
Distribution Rights granted to UMBC by the author.
Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan thorugh a local library, pending author/copyright holder's permission.

Abstract

Clouds and aerosols have the largest influence on the Earth's climate system, yet they contribute the largest uncertainties to estimates and interpretations of the global radiation budget. We can get the most information about aerosols and cloud particle properties from studying polarized observations taken at a wide range of different scattering angles. As such, polarimeters with multi-angular and multi-spectral capabilities enable the retrieval of cloud microphysical properties, such as cloud droplet size distribution (DSD). Traditional radiometric sensors are limited in their DSD retrievals since they can only infer cloud droplet effective radius (CDR), and not the distribution width (cloud droplet effective variance (CDV)). To overcome these limitations, and others, the Hyper-Angular Rainbow Polarimeter (HARP) suite of polarimetric instruments was designed with multi-angular and multi-spectral push-broom capability to see Earth from multiple viewing angles, wavelengths, and linear polarization states. However, there are still limitations in spatial and temporal coverage using just one HARP instrument that can be overcome via a constellation of HARP instruments. As part of this research study, orbit geometries for candidate distributed space mission (DSM) architectures were quantified for high-quality cloud DSD retrievals using the cloud bow. In addition, statistical information from the orbits was collected to determine favorable observation geometries for dense angular sampling at scattering angles required for cloud DSD retrieval of liquid water clouds. Moreover, cloud bow retrieval sensitivity to HARP constellation geometry was determined. From this investigation an innovative observation strategy using a constellation of HARP instruments for cloud bow retrievals can be developed.