2014
DOI: 10.5194/amt-7-4353-2014
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Scientific impact of MODIS C5 calibration degradation and C6+ improvements

Abstract: Abstract. The Collection 6 (C6) MODIS (Moderate Resolution Imaging Spectroradiometer) land and atmosphere data sets are scheduled for release in 2014. C6 contains significant revisions of the calibration approach to account for sensor aging. This analysis documents the presence of systematic temporal trends in the visible and near-infrared (500 m) bands of the Collection 5 (C5) MODIS Terra and, to lesser extent, in MODIS Aqua geophysical data sets. Sensor degradation is largest in the blue band (B3) of the MOD… Show more

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Cited by 207 publications
(210 citation statements)
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“…These so-called pseudo-invariant targets such as deserts, deep convective clouds and high-elevation ice sheet investigations led to a new vicarious approach for calibration, which relies on collection of pseudo-invariant Earth site data continually to provide a reference over time. The approach permits calibration at multiple angles of incidence (AOIs) on the challenging-to-characterize scan mirror, rather than two angles of incidence available through the onboard solar diffuser and moon observations through the space view port (Sun et al, 2012;Lyapustin et al, 2014). The resulting calibration is of lower precision than a well-characterized mirror calibrated on a lunar standard but provides significant improvement to the C5 data (Lyapustin et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
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“…These so-called pseudo-invariant targets such as deserts, deep convective clouds and high-elevation ice sheet investigations led to a new vicarious approach for calibration, which relies on collection of pseudo-invariant Earth site data continually to provide a reference over time. The approach permits calibration at multiple angles of incidence (AOIs) on the challenging-to-characterize scan mirror, rather than two angles of incidence available through the onboard solar diffuser and moon observations through the space view port (Sun et al, 2012;Lyapustin et al, 2014). The resulting calibration is of lower precision than a well-characterized mirror calibrated on a lunar standard but provides significant improvement to the C5 data (Lyapustin et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Because the optics of the sensor (including reflecting mirrors and electronics) were expected to degrade over time, the MODIS sensor design included methods for post-launch onboard calibration. However, the onboard calibration did not sufficiently account for degradation of the calibrators due to the large degradation of the solar diffuser (detailed in Lyapustin et al, 2014). This led to a long-term drift in calibration, most pronounced on the Terra sensor, with the largest in the blue band (B3), and decreasing with increasing wavelength (Xiong and Barnes, 2006).…”
Section: Introductionmentioning
confidence: 99%
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“…Positive trends over seasonally snow-covered areas are most likely due to a decrease in snow coverage (e.g., Qu and Hall, 2007;Vaughan et al, 2013), and the trend in LCrRE that we find over northern Asia is consistent with studies showing recent declines in snow cover over this region (e.g., Dery and Brown, 2007;Brown and Robinson, 2011;Derksen et al, 2014). Possible reasons for the positive trends seen over Greenland include (1) increased snow metamorphism and black carbon deposition (e.g., Box et al, 2012;Keegan et al, 2014); (2) transport and deposition of dust and other light-absorbing impurities over the ice sheets due to increased dust source areas associated with increased snowfree area (Dumont et al, 2014); (3) higher melt extent across the Greenland ice sheet expose more fresh water at the surface (Tedesco et al, 2014); and (4) MODIS sensor degradation on the Terra satellite during recent years (Sun et al, 2014;Lyapustin et al, 2014), which would indicate a spurious decline in albedo. We also observe slightly negative LCrRE trends over Antarctica, which may be due to increases in snowfall that have decreased the duration that surface snow has to "age", thereby increasing surface albedo (Picard et al, 2012).…”
Section: Interannual Trendsmentioning
confidence: 99%