Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models

Gao, Meng; Franz, Bryan A.; Zhai, Peng-Wang; Knobelspiesse, Kirk; Sayer, Andrew M.; Xu, Xiaoguang; Martins, J. Vanderlei; Cairns, Brian; Castellanos, Patricia; Fu, Guangliang; Hannadige, Neranga; Hasekamp, Otto; Hu, Yongxiang; Ibrahim, Amir; Patt, Frederick; Puthukkudy, Anin; Werdell, P. Jeremy

doi:https://doi.org/10.5194/amt-16-5863-2023

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.

https://doi.org/10.5194/amt-16-5863-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 23

Research article

|

07 Dec 2023

Research article |

| 07 Dec 2023

Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models

Meng Gao, Bryan A. Franz, Peng-Wang Zhai, Kirk Knobelspiesse, Andrew M. Sayer, Xiaoguang Xu, J. Vanderlei Martins, Brian Cairns, Patricia Castellanos, Guangliang Fu, Neranga Hannadige, Otto Hasekamp, Yongxiang Hu, Amir Ibrahim, Frederick Patt, Anin Puthukkudy, and P. Jeremy Werdell

Data sets

PACE L1C spatial grids OB.DAAC https://oceandata.sci.gsfc.nasa.gov/directdataaccess/Level-1C/5PACE-spacecraft/2022/080/

PACE L1C ancillary data OB.DAAC https://oceandata.sci.gsfc.nasa.gov/directdataaccess/Ancillary/PACE-spacecraft/2022/080/

PACE HARP2 L1C simulated data OB.DAAC https://oceandata.sci.gsfc.nasa.gov/directdataaccess/Level-1C/PACE-HARP2/2022/080/

PACE HARP2 L2 FastMAPOL product OB.DAAC https://oceandata.sci.gsfc.nasa.gov/directdataaccess/Level-2/PACE-HARP2/2022/080/

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.