Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO 2
In: Atmospheric Measurement Techniques, Vol 13, Pp 731-745 (2020, 2020
Online
academicJournal
Zugriff:
Verifying anthropogenic carbon dioxide ( CO 2 ) emissions globally is essential to inform about the progress of institutional efforts to mitigate anthropogenic climate forcing. To monitor localized emission sources, spectroscopic satellite sensors have been proposed that operate on the CO 2 absorption bands in the shortwave-infrared (SWIR) spectral range with ground resolution as fine as a few tens of meters to about a hundred meters. When designing such sensors, fine ground resolution requires a trade-off towards coarse spectral resolution in order to achieve sufficient noise performance. Since fine ground resolution also implies limited ground coverage, such sensors are envisioned to fly in fleets of satellites, requiring low-cost and simple design, e.g., by restricting the spectrometer to a single spectral band. Here, we use measurements of the Greenhouse Gases Observing Satellite (GOSAT) to evaluate the spectral resolution and spectral band selection of a prospective satellite sensor with fine ground resolution. To this end, we degrade GOSAT SWIR spectra of the CO 2 bands at 1.6 (SWIR-1) and 2.0 µ m (SWIR-2) to coarse spectral resolution, without a further addition of noise, and we evaluate single-band retrievals of the column-averaged dry-air mole fractions of CO 2 ( XCO 2 ) by comparison to ground truth provided by the Total Carbon Column Observing Network (TCCON) and by comparison to global “native” GOSAT retrievals with native spectral resolution and spectral band selection. Coarsening spectral resolution from GOSAT's native resolving power of >20 000 to the range of 700 to a few thousand makes the scatter of differences between the SWIR-1 and SWIR-2 retrievals and TCCON increase moderately. For resolving powers of 1200 (SWIR-1) and 1600 (SWIR-2), the scatter increases from 2.4 (native) to 3.0 ppm for SWIR-1 and 3.3 ppm for SWIR-2. Coarser spectral resolution yields only marginally worse performance than the native GOSAT configuration in terms of station-to-station variability and geophysical ...
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Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO 2
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Autor/in / Beteiligte Person: | Wilzewski, J. S. ; Roiger, A. ; Strandgren, J. ; Landgraf, J. ; Feist, D. G. ; Velazco, V. A. ; Deutscher, N. M. ; Morino, I. ; Ohyama, H. ; Té, Y. ; Kivi, R. ; Warneke, T. ; Notholt, J. ; Dubey, M. ; Sussmann, R. ; Rettinger, M. ; Hase, F. ; Shiomi, K. ; Butz, A. |
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Zeitschrift: | Atmospheric Measurement Techniques, Vol 13, Pp 731-745 (2020, 2020 |
Veröffentlichung: | Copernicus Publications, 2020 |
Medientyp: | academicJournal |
ISSN: | 1867-1381 (print) ; 1867-8548 (print) |
DOI: | 10.5194/amt-13-731-2020 |
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