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- Title
A study of polarimetric noise induced by satellite motion: Application to the 3MI and similar sensors.
- Authors
Hioki, Souichiro; Riedi, Jérôme; Djellali, Mohamed S.
- 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.
- Subjects
MONTE Carlo method; STOKES parameters; NOISE; LINEAR polarization; MOTION; ORBITS of artificial satellites
- Publication
Atmospheric Measurement Techniques Discussions, 2020, p1
- ISSN
1867-8610
- Publication type
Article
- DOI
10.5194/amt-2020-407