Spectral calibration and validation of the Cross‐track Infrared Sounder on the Suomi NPP satellite

Strow, L. Larrabee; Motteler, Howard E.; Tobin, David C.; Revercomb, Henry E.; Hannon, S.; Buijs, Henry; Predina, Joe; Suwinski, Lawrence; Glumb, Ronald J.

doi:10.1002/2013jd020480

Cited by 65 publications

(50 citation statements)

References 8 publications

(12 reference statements)

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“…Extensive comparisons 10 between VIIRS TEB and CrIS show excellent agreement between the two instruments with slight offsets (generally < 0.4 K) present at cold scene temperatures. The calibration of the CrIS instrument is discussed in [11,12]. In this study the CrIS data is only used in a relative way -to account for RSR differences between nearly matching VIIRS and MODIS spectral bands -and thus the influence of the CrIS absolute calibration on the comparison should be negligible.…”

Section: Introductionmentioning

confidence: 99%

Relative spectral response corrected calibration inter-comparison of S-NPP VIIRS and Aqua MODIS thermal emissive bands

Efremova

Xiong

2014

SPIE Proceedings

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The S-NPP Visible Infrared Imaging Radiometer Suite (VIIRS) instrument is built with strong heritage from EOS MODIS, and has very similar thermal emissive bands (TEB) calibration algorithm and on-board calibrating source -a V-grooved blackbody. The calibration of the two instruments can be assessed by comparing the brightness temperatures retrieved from VIIRS and Aqua MODIS simultaneous nadir observations (SNO) from their spectrally matched TEB. However, even though the VIIRS and MODIS bands are similar there are still relative spectral response (RSR) differences and thus some differences in the retrieved brightness temperatures are expected. The differences depend on both the type and the temperature of the observed scene, and contribute to the bias and the scatter of the comparison. In this paper we use S-NPP Cross-track Infrared Sounder (CrIS) data taken simultaneously with the VIIRS data to derive a correction for the slightly different spectral coverage of VIIRS and MODIS TEB bands. An attempt to correct for RSR differences is also made using MODTRAN models, computed with physical parameters appropriate for each scene, and compared to the value derived from actual CrIS spectra. After applying the CrIS-based correction for RSR differences we see an excellent agreement between the VIIRS and Aqua MODIS measurements in the studied band pairs M13-B23, M15-B31, and M16-B32. The agreement is better than the VIIRS uncertainty at cold scenes, and improves with increasing scene temperature up to about 290 K.

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Section: Introductionmentioning

confidence: 99%

Relative spectral response corrected calibration inter-comparison of S-NPP VIIRS and Aqua MODIS thermal emissive bands

Efremova

Xiong

2014

SPIE Proceedings

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“…This value is from CrIS engineering packets and also used for CrIS spectral calibration [17]. However, in reality, the CrIS detectors have their own spatial response functions, namely, the spatial distribution of the contributions to the total radiance.…”

Section: Instrument Characteristicsmentioning

confidence: 99%

Fast and Accurate Collocation of the Visible Infrared Imaging Radiometer Suite Measurements with Cross-Track Infrared Sounder

Wang

Tremblay²,

Zhang

et al. 2016

Remote Sensing

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Given the fact that Cross-track Infrared Sounder (CrIS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) are currently onboard the Suomi National Polar-orbiting Partnership (Suomi NPP) satellite and will continue to be carried on the same platform as future Joint Polar Satellite System (JPSS) satellites for the next decade, it is desirable to develop a fast and accurate collocation scheme to collocate VIIRS products and measurements with CrIS for applications that rely on combining measurements from two sensors such as inter-calibration, geolocation assessment, and cloud detection. In this study, an accurate and fast collocation method to collocate VIIRS measurements within CrIS instantaneous field of view (IFOV) directly based on line-of-sight (LOS) pointing vectors is developed and discussed in detail. We demonstrate that this method is not only accurate and precise from a mathematical perspective, but also easy to implement computationally. More importantly, with optimization, this method is very fast and efficient and thus can meet operational requirements. Finally, this collocation method can be extended to a wide variety of sensors on different satellite platforms.

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“…[18][19][20][21] In this effort, we wish to further exploit the fact that land surface water content information (i.e., soil moisture) is contained within infrared (IR) radiance measurements from the polar-orbiting environmental satellite advanced atmospheric sounding sensors, such as the Aqua Atmospheric Infrared Sounder, [22][23][24] the MetOp Interferometer Atmospheric Sounding Instrument (IASI), [25][26][27] and the Suomi NPP Crosstrack Infrared Sounder (CrIS). [28][29][30] Investigation into the relationship between land surface IR emissivity and soil moisture content has been performed and reported in this paper, giving another perspective from the IR ultraspectral radiance measurements in addition to that of the traditionally used MW measurements. Global land surface emissivity with a decadal global-coverage climate variability, retrieved from satellite IR ultraspectral radiance measurements of IASI, is available to carry out this investigation.…”

Section: Introductionmentioning

confidence: 99%

On the relationship between land surface infrared emissivity and soil moisture

Zhou

Larar

Liu

2018

J. Appl. Rem. Sens.

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Spectral calibration and validation of the Cross‐track Infrared Sounder on the Suomi NPP satellite

Cited by 65 publications

References 8 publications

Relative spectral response corrected calibration inter-comparison of S-NPP VIIRS and Aqua MODIS thermal emissive bands

Relative spectral response corrected calibration inter-comparison of S-NPP VIIRS and Aqua MODIS thermal emissive bands

Fast and Accurate Collocation of the Visible Infrared Imaging Radiometer Suite Measurements with Cross-Track Infrared Sounder

On the relationship between land surface infrared emissivity and soil moisture

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