Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean

Atmospheric measurement techniques, vol. 15, pp. 4859–4879

Abstract

Multi-angle polarimetric (MAP) measurements can enable detailed characterization of aerosol microphysical and optical properties and improve atmospheric correction in ocean color remote sensing. Advanced retrieval algorithms have been developed to obtain multiple geophysical parameters in the atmosphere–ocean system. Theoretical pixel-wise retrieval uncertainties based on error propagation have been used to quantify retrieval performance and determine the quality of data products. However, standard error propagation techniques in high-dimensional retrievals may not always represent true retrieval errors well due to issues such as local minima and the nonlinear dependence of the forward model on the retrieved parameters near the solution. In this work, we analyze these theoretical uncertainty estimates and validate them using a flexible Monte Carlo approach. The Fast Multi-Angular Polarimetric Ocean coLor (FastMAPOL) retrieval algorithm, based on efficient neural network forward models, is used to conduct the retrievals and uncertainty quantification on both synthetic HARP2 (Hyper-Angular Rainbow Polarimeter 2) and AirHARP (airborne version of HARP2) datasets. In addition, for practical application of the uncertainty evaluation technique in operational data processing, we use the automatic differentiation method to calculate derivatives analytically based on the neural network models. Both the speed and accuracy associated with uncertainty quantification for MAP retrievals are addressed in this study. Pixel-wise retrieval uncertainties are further evaluated for the real AirHARP field campaign data. The uncertainty quantification methods and results can be used to evaluate the quality of data products, as well as guide MAP algorithm development for current and future satellite systems such as NASA’s Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission.

Authors 12

1. Meng Gao corresponding

   Goddard Space Flight Center · Science Systems and Applications (United States)

   Affiliation as printed

   NASA Goddard Space Flight Center, Code 616, Greenbelt, MD 20771, USA

   Science Systems and Applications, Inc., Greenbelt, MD 20706, USA

2. Kirk David Knobelspiesse corresponding

   Goddard Space Flight Center

   Affiliation as printed

   NASA Goddard Space Flight Center, Code 616, Greenbelt, MD 20771, USA

3. Bryan A. Franz

   Goddard Space Flight Center

   Affiliation as printed

   NASA Goddard Space Flight Center, Code 616, Greenbelt, MD 20771, USA

4. Peng‐Wang Zhai

   University of Maryland, Baltimore County

   Affiliation as printed

   JCET and Physics Department, University of Maryland, Baltimore County, Baltimore, MD 21250, USA

5. A. M. Sayer corresponding

   Goddard Space Flight Center · University of Maryland, Baltimore County

   Affiliation as printed

   Goddard Earth Sciences Technology and Research (GESTAR) II, University of Maryland, Baltimore County, Baltimore, MD 21250, USA

   NASA Goddard Space Flight Center, Code 616, Greenbelt, MD 20771, USA

6. Amir I. Ibrahim corresponding

   Goddard Space Flight Center

   Affiliation as printed

   NASA Goddard Space Flight Center, Code 616, Greenbelt, MD 20771, USA

7. Brian Cairns

   Goddard Institute for Space Studies

   Affiliation as printed

   NASA Goddard Institute for Space Studies, New York, NY 10025, USA

8. Otto Hasekamp corresponding Aachen Netherlands Institute for Space Research (SRON

   Space Research Organisation Netherlands

   Affiliation as printed

   Netherlands Institute for Space Research (SRON, NWO-I), Utrecht, the Netherlands

9. Yongxiang Hu corresponding

   Langley Research Center

   Affiliation as printed

   MS 475, NASA Langley Research Center, Hampton, VA 23681-2199, USA

10. Vanderlei J. Martins

    University of Maryland, Baltimore County

    Affiliation as printed

    Goddard Earth Sciences Technology and Research (GESTAR) II, University of Maryland, Baltimore County, Baltimore, MD 21250, USA

    JCET and Physics Department, University of Maryland, Baltimore County, Baltimore, MD 21250, USA

11. P. Jeremy Werdell

    Goddard Space Flight Center

    Affiliation as printed

    NASA Goddard Space Flight Center, Code 616, Greenbelt, MD 20771, USA

12. Xiaoguang Xu corresponding

    University of Maryland, Baltimore County

    Affiliation as printed

    Goddard Earth Sciences Technology and Research (GESTAR) II, University of Maryland, Baltimore County, Baltimore, MD 21250, USA

    JCET and Physics Department, University of Maryland, Baltimore County, Baltimore, MD 21250, USA