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Spectral sizing of a coarse-spectral-resolution satellite sensor for XCO2

Wilzewski, Jonas Simon; Roiger, Anke; Strandgren, Johan; Landgraf, Jochen; Feist, Dietrich G.; Velazco, Voltaire A.; Deutscher, Nicholas M.; Morino, Isamu; Ohyama, Hirofumi; Té, Yao; Kivi, Rigel; Warneke, Thorsten; Notholt, Justus; Dubey, Manvendra; Sussmann, Ralf; Rettinger, Markus; Hase, Frank; Shiomi, Kei; Butz, André

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 μm (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. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000117699
Veröffentlicht am 12.03.2020
DOI: 10.5194/amt-13-731-2020
Zitationen: 1
Web of Science
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1867-8548
KITopen-ID: 1000117699
HGF-Programm 12.03.01 (POF III, LK 01)
Long term observations of tropospheric
Erschienen in Atmospheric measurement techniques
Band 13
Heft 2
Seiten 731–745
Vorab online veröffentlicht am 13.02.2020
Nachgewiesen in Scopus
Web of Science
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