Global space-based inter-calibration system reflective solar calibration reference: from Aqua MODIS to S-NPP VIIRS

Xiong, Xiaoxiong; Angal, Amit; Butler, James J.; Cao, Changyong; Doelling, David R.; Wu, Aisheng; Wu, Xiangqian

doi:10.1117/12.2224320

Cited by 14 publications

(8 citation statements)

References 16 publications

(21 reference statements)

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“…VIIRS is one of the key earth-observing instruments onboard SNPP and future JPSS. DCCs as invariant earth targets can be utilized to facilitate the calibration transfer from MODIS to VIIRs and other instrument by the Global Space-based Inter-Calibration System (GSICS) operational community [35]. The DCCT have been applied to the stability assessment of VIIRS RSB (M-bands, M1-M5, M7-M11, and I-bands, I1-I3) except for band M6 [27,28,36].…”

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confidence: 99%

Optimization of a Deep Convective Cloud Technique in Evaluating the Long-Term Radiometric Stability of MODIS Reflective Solar Bands

Xiong

et al. 2017

Remote Sensing

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MODIS reflective solar bands are calibrated on-orbit using a solar diffuser and near-monthly lunar observations. To monitor the performance and effectiveness of the on-orbit calibrations, pseudo-invariant targets such as deep convective clouds (DCCs), Libya-4, and Dome-C are used to track the long-term stability of MODIS Level 1B product. However, the current MODIS operational DCC technique (DCCT) simply uses the criteria set for the 0.65-µm band. We optimize several critical DCCT parameters including the 11-µm IR-band Brightness Temperature (BT11) threshold for DCC identification, DCC core size and uniformity to help locate DCCs at convection centers, data collection time interval, and probability distribution function (PDF) bin increment for each channel. The mode reflectances corresponding to the PDF peaks are utilized as the DCC reflectances. Results show that the BT11 threshold and time interval are most critical for the Short Wave Infrared (SWIR) bands. The Bidirectional Reflectance Distribution Function model is most effective in reducing the DCC anisotropy for the visible channels. The uniformity filters and PDF bin size have minimal impacts on the visible channels and a larger impact on the SWIR bands. The newly optimized DCCT will be used for future evaluation of MODIS on-orbit calibration by MODIS Characterization Support Team.

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confidence: 99%

Optimization of a Deep Convective Cloud Technique in Evaluating the Long-Term Radiometric Stability of MODIS Reflective Solar Bands

Xiong

et al. 2017

Remote Sensing

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“…The space count for Himawari- 8 has not yet been published, but was determined to have a value of 20 by using the dark portion of the Earth disc. The accuracy of this value has been verified by JMA (Arata Okuyama personal communication 2016).…”

Section: Geo Space Countmentioning

confidence: 99%

“…The Aqua-MODIS degradation is mostly due to response versus scan-angle (RVS) issues [6]. The CERES Edition 4A (Ed4A) GEO calibration uses Aqua-MODIS C6 band 1 as a reference and follows the recommendation of the Global Spaced-based Inter-Calibration System (GSICS) [7] as it exceeds the performance of Terra-MODIS [8,9]. Figure 1 displays the 16 geostationary satellites (GEOsats) utilized during the CERES Terra and Aqua record.…”

Section: Introductionmentioning

confidence: 99%

Geostationary Visible Imager Calibration for the CERES SYN1deg Edition 4 Product

et al. 2018

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Abstract:The Clouds and the Earth's Radiant Energy System (CERES) project relies on geostationary (GEO) imager derived TOA broadband fluxes and cloud properties to account for the regional diurnal fluctuations between the Terra and Aqua CERES and MODIS measurements. Anchoring the GEO visible calibration to the MODIS reference calibration and stability is critical for consistent fluxes and cloud retrievals across the 16 GEO imagers utilized in the CERES record. The CERES Edition 4A used GEO and MODIS ray-matched radiance pairs over all-sky tropical ocean (ATO-RM) to transfer the MODIS calibration to the GEO imagers. The primary GEO ATO-RM calibration was compared with the deep convective cloud (DCC) ray-matching and invariant desert/DCC target calibration methodologies, which are all tied to the same Aqua-MODIS calibration reference. Results indicate that most GEO record mean calibration method biases are within 1% with respect to ATO-RM. Most calibration method temporal trends were within 0.5% relative to ATO-RM. The monthly gain trend standard errors were mostly within 1% for all methods and GEOs. The close agreement amongst the independent calibration techniques validates all methodologies, and verifies that the coefficients are not artifacts of the methodology but rather adequately represent the true GEO visible imager degradation.

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“…Many present-day satellite imagers carry advanced calibration systems for on-orbit calibration. The Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard the Aqua and Terra platforms, and Visible Infrared Imaging Radiometer Suite (VIIRS) on the National Polar-orbiting Partnership (NPP) satellite, have sophisticated onboard calibration systems, which utilize a solar diffuser (SD) and an SD stability monitor to perform in-flight radiometric calibration, as well as to monitor the long-term sensor stability [1]. For instruments without onboard calibrators, the radiometric calibration can be accomplished through a vicarious method, or cross-calibration.…”

Section: Introductionmentioning

confidence: 99%

Consideration of Radiometric Quantization Error in Satellite Sensor Cross-Calibration

et al. 2018

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The radiometric resolution of a satellite sensor refers to the smallest increment in the spectral radiance that can be detected by the imaging sensor. The fewer bits that are used for signal discretization, the larger the quantization error in the measured radiance. In satellite inter-calibration, a difference in radiometric resolution between a reference and a target sensor can induce a calibration bias, if not properly accounted for. The effect is greater for satellites with a quadratic count response, such as the Geostationary Meteorological Satellite-5 (GMS-5) visible imager, where the quantization difference can introduce non-linearity in the inter-comparison datasets, thereby affecting the cross-calibration slope and offset. This paper describes a simulation approach to highlight the importance of considering the radiometric quantization in cross-calibration and presents a correction method for mitigating its impact. The method, when applied to the cross-calibration of GMS-5 and Terra Moderate Resolution Imaging Spectroradiometer (MODIS) sensors, improved the absolute calibration accuracy of the GMS-5 imager. This was validated via radiometric inter-comparison of GMS-5 and Multifunction Transport Satellite-2 (MTSAT-2) imager top-of-atmosphere (TOA) measurements over deep convective clouds (DCC) and Badain Desert invariant targets. The radiometric bias between GMS-5 and MTSAT-2 was reduced from 1.9% to 0.5% for DCC, and from 7.7% to 2.3% for Badain using the proposed correction method.

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Global space-based inter-calibration system reflective solar calibration reference: from Aqua MODIS to S-NPP VIIRS

Cited by 14 publications

References 16 publications

Optimization of a Deep Convective Cloud Technique in Evaluating the Long-Term Radiometric Stability of MODIS Reflective Solar Bands

Optimization of a Deep Convective Cloud Technique in Evaluating the Long-Term Radiometric Stability of MODIS Reflective Solar Bands

Geostationary Visible Imager Calibration for the CERES SYN1deg Edition 4 Product

Consideration of Radiometric Quantization Error in Satellite Sensor Cross-Calibration

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