Benjamin Scarino, David R

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Presentation transcript:

Hyperspectral Instrument Comparisons: Assessing Spectral Band Adjustment Factor Stability Benjamin Scarino, David R. Doelling, Rajendra Bhatt, Constantine Lukashin, Arun Gopalan, Conor Haney

Outline Part One: Hyperspectral Instrument Comparisons SCIAMACHY, Hyperion, GOME-2, and Aqua-MODIS radiance comparisons SCIAMACHY and Hyperion irradiance comparison SCIAMACHY, Hyperion, and Aqua-MODIS reflection comparisons Spectral Band Adjustment Factor (SBAF) calculation SBAF comparisons from the three instruments Conclusions Part Two: Clear-sky ocean SCIAMACHY-based Spectral Band Adjustment Factors SCIAMACHY clear-sky criteria Sample distribution and spectra analysis SBAF examples

SCIAMACHY Unused Footprint GOME-2 Unused Footprint Measurements taken over a Libyan Desert site (28°N to 29.5°N, and 22.5°E to 24°E) during August 2007 Libya-4 ROI SCIAMACHY Footprints SCIAMACHY Unused Footprint GOME-2 Footprints GOME-2 Unused Footprint Hyperion Swath

About a 1-2% difference on average Radiance Comparison Artifacts of GOME-2 channel overlap regions. Low values filtered when calculating SBAF Number of samples: SCIA: 17 GOME-2: 17 Hyperion: 5 Aqua-MODIS: 4 VZA limited to < 10° SZA normalized to SCIA (29.0°): Rad = [Rad / cos(SZA) ] * cos(29°) Earth-sun distance correction, relative to August 15, applied: Rad = Rad / 1.0258 Mean Diff: -4.2 ± 12.7 Mean Diff: 5.7 ± 15.0 About a 1-2% difference on average

Irradiance Comparison Number of samples: SCIA: 17 Hyperion: 5 Hyperion performs on-orbit solar views, an internal calibration source consisting of halogen lamps, lunar views, and vicarious calibration over instrumented sites (Chander) SCIAMACHY operationally conducts sun observations for degradation monitoring (also moon) Working on reading GOME-2 Irradiance data Mean Diff: -23.3 ± 57.3

Reflectance Comparison Number of samples: SCIA: 17 Hyperion: 5 Aqua-MODIS: 4 VZA limited to < 10° Plan to compute GOME-2 reflectance spectra once irradiance data acquired Mean Diff: 0.002 ± 0.037

Spectral Band Adjustment Factors Spectra from each SCIAMACHY scene-appropriate footprint are convolved with imager SRFs Yields imager-equivalent (pseudo imager) radiances

Spectral Band Adjustment Factors Regression of two pseudo radiances constitutes a Spectral Band Adjustment Factor (SBAF) Applied to the reference sensor radiance (Lref) to arrive at the predicted target sensor radiance (Ltar)

SCIAMACHY Standard Error of the Regression: 0.12% NOAA-14 Band 1 Aqua-MODIS Band 1 SCIAMACHY-Based SBAF = 0.9827 Hyperion-Based SBAF = 0.9789 GOME-2-Based SBAF = 0.9783 0.4% difference SCIAMACHY Standard Error of the Regression: 0.12% Small uncertainty in the SCIAMACHY SBAF based on the 17 independent convolutions

SCIAMACHY Standard Error of the Regression: 1.05% NOAA-14 Band 2 Aqua-MODIS Band 2 SCIAMACHY-Based SBAF = 0.8464 Hyperion-Based SBAF = 0.8474 0.1% difference SCIAMACHY Standard Error of the Regression: 1.05% Increased uncertainty in the SBAF likely owed to water vapor absorption bands

Conclusions The SCIAMACHY-based SBAF is well within 1% of the GOME-2-based and Hyperion-based SBAFs SCIAMACHY ideal because high spectral resolution, full coverage of the visible and near-IR channels, and because of its readily available global coverage SCIAMACHY spectra consistently the best match to Aqua-MODIS radiance and reflectance; already established to be stable compared to Aqua-MODIS (Doelling et al., 2013) SCIAMACHY Radiance is stable to within -0.6% per decade compared to Aqua-MODIS

Clear-sky ocean SCIAMACHY-based SBAFs

SCIAMACHY 240 km x 30 km clear-sky ocean footprints. 1° 1° SCIAMACHY 240 km x 30 km clear-sky ocean footprints. Cloud fraction comes from 1° gridded MODIS data 1/2 hour after SCIAMACHY overpass Clouds still possible owing to advection or certain footprint orientations

SCIAMACHY 240 km x 30 km clear-sky ocean footprints. 1° ???? 100% CLEAR 1° SCIAMACHY 240 km x 30 km clear-sky ocean footprints. Cloud fraction comes from 1° gridded MODIS data 1/2 hour after SCIAMACHY overpass Clouds still possible owing to advection or certain footprint orientations

Sampling time from August 2002 through December 2012 Tropical Pacific Ocean domain, covering 20°N to 20°S, and 110°W to 160°W Sampling time from August 2002 through December 2012 Of ~500,000 ocean footprints over ~8 years, 180 register as 100% clear Of those, 79 measure a radiance < 55 W/m2/μm/sr The remaining 101 footprints have a radiance > 300 W/m2/μm/sr 101 likely instances “clear” footprint is still partially cloudy owing to footprint orientation on 1° MODIS grid

Radiance and reflectance spectra from the 79 clear ocean (< 55 W/m2/μm/sr) SCIAMACHY footprints There is still a relatively large variance below this break-point, but consider that the overall magnitude of radiance/relfectance is small. Also cannot rule out clouds that are much smaller than MODIS pixel size

SBAF Examples Channel 1 Example Channel 2 Example SZA SZA

Conclusions Difficult to find 100% clear-sky SCIAMACHY footprints owing to their size, unless you have very large sample size Even those that register as 100% clear can sometimes still be partially cloudy owing to advection or footprint orientation However, there is an obvious breakpoint between the brighter, cloudy footprints and the footprints one would expect to be associated with clear-sky ocean An SBAF can be computed using these darker footprints, which probably are the closest representation of a 100% clear-sky ocean footprint that can be found Will attempt to analyze these clear-sky footprints using GOME-2 data