ROSES Proposals
Maintenance and development of radiative transfer and remote sensing algorithms for the PACE instruments
PI: Pengwang Zhai - University of Maryland Baltimore CountyCo-I: Yongxiang Hu (NASA Langley Research Center)
We propose to support the algorithm development of the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission with the following objectives:
I. Maintenance and further development of the radiative transfer packages that we developed for the PACE instruments.
The first objective of this proposal is to support and maintain the software that we developed for the PACE mission, and develop new capabilities, which include the implementation of land surface reflectance models (snow and vegetation, for example), plastic and bubble particles in ocean waters, broader spectral coverage to calculate short wave radiative forcing.
II. Improve the aerosol and ocean bio-optical representations in the Fast Multi-Angular Polarimetric Ocean coLor (FastMAPOL) algorithm to include coastal waters.
FastMAPOL is a joint inversion algorithm which can retrieve aerosol optical depth (AOD), single scattering albedo (SSA), size distribution, and remote sensing reflectance (Rrs) from Multi-Angle Polarimeter (MAP) measurements over open ocean waters. FastMAPOL uses a neural network (NN) forward model to function in lieu of the RT model to achieve efficiency and maintain accuracy so that it can operationally process the PACE data. In the second objective we aim to further expand FastMAPOL to include flexible aerosol component models and coastal water bio-optical models, and use the spectral bands from both Spectro-polarimeter for Planetary Exploration (SPEXone) and Hyper-Angular Rainbow Polarimeter 2 (HARP-2) for better information content.
III. Provide an Instantaneous Photosynthetically Available Radiation (IPAR) data product derived from polarimeter measurements.
We have developed a NN algorithm which can calculate IPAR and its vertical profile in ocean waters based on the solar zenith angle, ozone amount in Dobson unit (DU), AOD, SSA, Ångström exponent, ocean chlorophyll a concentration (Chla), absorption coefficient of CDOM, and backscattering coefficient of oceanic particles. Test with independent datasets shows that the algorithm is highly efficient and accurate. In the third goal of this proposal, we will apply this algorithm to the PACE MAP data to generate the IPAR profile.
I. Maintenance and further development of the radiative transfer packages that we developed for the PACE instruments.
The first objective of this proposal is to support and maintain the software that we developed for the PACE mission, and develop new capabilities, which include the implementation of land surface reflectance models (snow and vegetation, for example), plastic and bubble particles in ocean waters, broader spectral coverage to calculate short wave radiative forcing.
II. Improve the aerosol and ocean bio-optical representations in the Fast Multi-Angular Polarimetric Ocean coLor (FastMAPOL) algorithm to include coastal waters.
FastMAPOL is a joint inversion algorithm which can retrieve aerosol optical depth (AOD), single scattering albedo (SSA), size distribution, and remote sensing reflectance (Rrs) from Multi-Angle Polarimeter (MAP) measurements over open ocean waters. FastMAPOL uses a neural network (NN) forward model to function in lieu of the RT model to achieve efficiency and maintain accuracy so that it can operationally process the PACE data. In the second objective we aim to further expand FastMAPOL to include flexible aerosol component models and coastal water bio-optical models, and use the spectral bands from both Spectro-polarimeter for Planetary Exploration (SPEXone) and Hyper-Angular Rainbow Polarimeter 2 (HARP-2) for better information content.
III. Provide an Instantaneous Photosynthetically Available Radiation (IPAR) data product derived from polarimeter measurements.
We have developed a NN algorithm which can calculate IPAR and its vertical profile in ocean waters based on the solar zenith angle, ozone amount in Dobson unit (DU), AOD, SSA, Ångström exponent, ocean chlorophyll a concentration (Chla), absorption coefficient of CDOM, and backscattering coefficient of oceanic particles. Test with independent datasets shows that the algorithm is highly efficient and accurate. In the third goal of this proposal, we will apply this algorithm to the PACE MAP data to generate the IPAR profile.
Graduate student: Kamal Aryal, Atmospheric Physics Program, UMBC