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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/amt-2020-407
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2020-407
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  20 Oct 2020

20 Oct 2020

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This preprint is currently under review for the journal AMT.

A study of polarimetric noise induced by satellite motion: Application to the 3MI and similar sensors

Souichiro Hioki, Jérôme Riedi, and Mohamed S. Djellali Souichiro Hioki et al.
  • Univ. Lille, CNRS, UMR 8518 -LOA -Laboratoire d’Optique Atmosphérique, Lille, 59000, France

Abstract. This study investigates the magnitude of the noise introduced by the co-registration and interpolation in computing Stokes vector elements from observations by the Multi-viewing, Multi-channel, Multi-polarisation Imager (3MI). The 2-D polarimetric measurements from the Second-Generation Global Imager (SGLI) are weighted and averaged to produce two proxy datasets of the 3MI measurements, with and without considering the effect of the satellite motion along the orbit. By comparing these two datasets, we estimate the magnitude of the noise introduced by co-registration and interpolation that are necessary to offset the satellite’s motion along the orbit. The results show that the noise is not symmetric about zero and not negligible when the intensity variability of the observed scene is large. The results are analyzed in four categories of pixels, and the most spread distribution of normalized polarized radiance difference is in the cloud-over-water category with the 5th to 95th percentile range being [−0.0051:−0.012]. The most spread distribution of degree of linear polarization difference is for the coastline category with the same percentile range being [−0.019:0.082]. A model using Monte Carlo simulation confirms that the magnitude of these errors over clouds are closely related to the spatial correlation in the horizontal cloud structure. For the cloud-over-water category, it is shown that the noise model developed in this study can statistically predict the magnitude and trends of the 3MI noise estimated from SGLI data. The obtained statistics and the simulation technique can be utilized to provide pixel-level quality information for 3MI Level 1B products. In addition, the simulation method can be applied to the past, current, and future spaceborne instruments with a similar design.

Souichiro Hioki et al.

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Souichiro Hioki et al.

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Latest update: 30 Nov 2020
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Short summary
This research estimates the magnitude of a motion-induced noise in the measurement of polarimetric state of light by a planned instrument on a future satellite. We discovered that the motion-induced noise can not be cancelled out by spatio-temporal averaging, but it can be predicted from the along-track change of the intensity of light. With the estimated statistics and the simulation model, this research paves a way to provide pixel-level quality information in the future satellite products.
This research estimates the magnitude of a motion-induced noise in the measurement of...
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