Visible Infrared Imaging Radiometer Suite (VIIRS) and uncertainty in the ocean color calibration methodology

Kevin R. Turpie; Robert E. Eplee Jr.; Gerhard Meister

doi:10.1117/12.2187586

8 September 2015 Visible Infrared Imaging Radiometer Suite (VIIRS) and uncertainty in the ocean color calibration methodology

Kevin R. Turpie, Robert E. Eplee Jr., Gerhard Meister

Author Affiliations +

Proceedings Volume 9607, Earth Observing Systems XX; 96071Q (2015) https://doi.org/10.1117/12.2187586
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

Abstract

During the first few years of the Suomi National Polar-orbiting Partnership (NPP) mission, the NASA Ocean Color calibration team continued to improve on their approach to the on-orbit calibration of the Visible Infrared Imaging Radiometer Suite (VIIRS). As the calibration was adjusted for changes in ocean band responsitivity, the team also estimated a theoretic residual error in the calibration trends well within a few tenths of a percent, which could be translated into trend uncertainties in regional time series of surface reflectance and derived products, where biases as low as a few tenths of a percent in certain bands can lead to significant effects. This study looks at effects from spurious trends inherent to the calibration and biases that arise between reprocessing efforts because of extrapolation of the timedependent calibration table. With the addition of new models for instrument and calibration system trend artifacts, new calibration trends led to improved estimates of ocean time series uncertainty. Table extrapolation biases are presented for the first time. The results further the understanding of uncertainty in measuring regional and global biospheric trends in the ocean using VIIRS, which better define the roles of such records in climate research.

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Kevin R. Turpie, Robert E. Eplee Jr., and Gerhard Meister "Visible Infrared Imaging Radiometer Suite (VIIRS) and uncertainty in the ocean color calibration methodology", Proc. SPIE 9607, Earth Observing Systems XX, 96071Q (8 September 2015); https://doi.org/10.1117/12.2187586

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