Articles | Volume 16, issue 23
https://doi.org/10.5194/amt-16-5863-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-5863-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Dec 2023
Research article |
| 07 Dec 2023
| 07 Dec 2023
Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models
Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Science Systems and Applications, Inc., Greenbelt, MD, USA
Bryan A. Franz
Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Peng-Wang Zhai
University of Maryland, Baltimore County, Baltimore, MD 21250, USA
Kirk Knobelspiesse
Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Andrew M. Sayer
Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
University of Maryland, Baltimore County, Baltimore, MD 21250, USA
Xiaoguang Xu
University of Maryland, Baltimore County, Baltimore, MD 21250, USA
J. Vanderlei Martins
University of Maryland, Baltimore County, Baltimore, MD 21250, USA
Brian Cairns
NASA Goddard Institute for Space Studies, New York, NY 10025, USA
Patricia Castellanos
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Guangliang Fu
Netherlands Institute for Space Research (SRON, NWO-I), Leiden, the Netherlands
Neranga Hannadige
University of Maryland, Baltimore County, Baltimore, MD 21250, USA
Otto Hasekamp
Netherlands Institute for Space Research (SRON, NWO-I), Leiden, the Netherlands
Yongxiang Hu
NASA Langley Research Center, MS 475, Hampton, VA 23681-2199, USA
Amir Ibrahim
Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Frederick Patt
Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Science Applications International Corp., Greenbelt, MD, USA
Anin Puthukkudy
University of Maryland, Baltimore County, Baltimore, MD 21250, USA
P. Jeremy Werdell
Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
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Cited
9 citations as recorded by crossref.
- 3D cloud masking across a broad swath using multi-angle polarimetry and deep learning S. Foley et al. 10.5194/amt-17-7027-2024
- Deriving anisotropic correction for upwelling radiance from PACE's multi-angle polarimetry X. Zhang et al. 10.1016/j.rse.2025.114647
- Retrieving oceanic constituents and inherent optical properties in global oceans using multi-angular polarimetric measurements J. Liu et al. 10.1364/OE.550049
- Impact of the Uncertainties of Polarized Water-Leaving Radiance on the Retrieval of Oceanic Constituents and Inherent Optical Properties in Global Oceans via Multiangle Polarimetric Observations J. Liu et al. 10.3390/rs17071148
- Advanced simulation and measurement of skylight polarization patterns across distinct aerosol type environments S. Li et al. 10.1016/j.scitotenv.2025.178768
- The Ocean Color Instrument (OCI) on the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) Mission: System Design and Prelaunch Radiometric Performance G. Meister et al. 10.1109/TGRS.2024.3383812
- First lunar-light mapping of nighttime dust season oceanic aerosol optical depth over North Atlantic from space M. Zhou et al. 10.1016/j.rse.2024.114315
- Machine learning based aerosol and ocean color joint retrieval algorithm for multiangle polarimeters over coastal waters K. Aryal et al. 10.1364/OE.522794
- Algorithm evaluation for polarimetric remote sensing of atmospheric aerosols O. Hasekamp et al. 10.5194/amt-17-1497-2024
7 citations as recorded by crossref.
- 3D cloud masking across a broad swath using multi-angle polarimetry and deep learning S. Foley et al. 10.5194/amt-17-7027-2024
- Deriving anisotropic correction for upwelling radiance from PACE's multi-angle polarimetry X. Zhang et al. 10.1016/j.rse.2025.114647
- Retrieving oceanic constituents and inherent optical properties in global oceans using multi-angular polarimetric measurements J. Liu et al. 10.1364/OE.550049
- Impact of the Uncertainties of Polarized Water-Leaving Radiance on the Retrieval of Oceanic Constituents and Inherent Optical Properties in Global Oceans via Multiangle Polarimetric Observations J. Liu et al. 10.3390/rs17071148
- Advanced simulation and measurement of skylight polarization patterns across distinct aerosol type environments S. Li et al. 10.1016/j.scitotenv.2025.178768
- The Ocean Color Instrument (OCI) on the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) Mission: System Design and Prelaunch Radiometric Performance G. Meister et al. 10.1109/TGRS.2024.3383812
- First lunar-light mapping of nighttime dust season oceanic aerosol optical depth over North Atlantic from space M. Zhou et al. 10.1016/j.rse.2024.114315
2 citations as recorded by crossref.
Latest update: 28 Mar 2025
Short summary
This study evaluated the retrievability and uncertainty of aerosol and ocean properties from PACE's HARP2 instrument using enhanced neural network models with the FastMAPOL algorithm. A cascading retrieval method is developed to improve retrieval performance. A global set of simulated HARP2 data is generated and used for uncertainty evaluations. The performance assessment demonstrates that the FastMAPOL algorithm is a viable approach for operational application to HARP2 data after PACE launch.
This study evaluated the retrievability and uncertainty of aerosol and ocean properties from...
