FastMAPOL_ACEPOL_AIRHARP_L2

The datasets contain the retrieved aerosol and ocean color properties from AirHARP measurements using the FastMAPOL algorithm. Three scenes (5Mb each) are included in the zip file: FastMAPOL_ACEPOL_AIRHARP_L2_ER2_20171023201049_V1.1.nc
FastMAPOL_ACEPOL_AIRHARP_L2_ER2_20171023213049_V1.1.nc FastMAPOL_ACEPOL_AIRHARP_L2_ER2_20171023204956_V1.1.nc

Details of the retrieval algorithm are discussed in the following work:

Gao, M., Franz, B. A., Knobelspiesse, K., Zhai, P.-W., Martins, V., Burton, S., Cairns, B., Ferrare, R., Gales, J., Hasekamp, O., Hu, Y., Ibrahim, A., McBride, B., Puthukkudy, A., Werdell, P. J., and Xu, X.: Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model, Atmos. Meas. Tech., 14, 4083–4110, https://doi.org/10.5194/amt-14-4083-2021, 2021.

Algorithm highlights:

  • The algorithm conducts simultaneous aerosol and ocean color retrievals using multi-angle polarimetric measurements.
  • Remote sensing reflectance is derived through atmospheric correction using the retrieved aerosol properties.
  • Neural networks are used to speed up the forward model and various processing steps.

Data and Resources

Additional Info

Field Value
Maintainer Meng Gao
Last Updated April 23, 2025, 22:14 (UTC)
Created February 19, 2025, 02:37 (UTC)
accessLevel public
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citation Gao, M., Franz, B. A., Knobelspiesse, K., Zhai, P.-W., Martins, V., Burton, S., Cairns, B., Ferrare, R., Gales, J., Hasekamp, O., Hu, Y., Ibrahim, A., McBride, B., Puthukkudy, A., Werdell, P. J., and Xu, X.: Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model, Atmos. Meas. Tech., 14, 4083–4110, https://doi.org/10.5194/amt-14-4083-2021, 2021.
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harvest_source_id b37e5849-07d2-41cd-8bb6-c6e83fc98f2d
harvest_source_title DNG Legacy Data
identifier https://data.nasa.gov/api/views/8b9y-7rgh
issued 2021-03-31
landingPage https://science.gsfc.nasa.gov/sed/bio/meng.gao
license https://www.usa.gov/government-works
modified 2023-01-31
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publisher NASA
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