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Spatial distributions of X$_{CO₂}$ seasonal cycle amplitude and phase over northern high-latitude regions

Jacobs, Nicole; Simpson, William R.; Graham, Kelly A.; Holmes, Christopher; Hase, Frank; Blumenstock, Thomas ORCID iD icon; Tu, Qiansi; Frey, Matthias; Dubey, Manvendra K.; Parker, Harrison A.; Wunch, Debra; Kivi, Rigel; Heikkinen, Pauli; Notholt, Justus; Petri, Christof; Warneke, Thorsten


Satellite-based observations of atmospheric carbon dioxide (CO$_{2}$) provide measurements in remote regions, such as the biologically sensitive but undersampled northern high latitudes, and are progressing toward true global data coverage. Recent improvements in satellite retrievals of total column-averaged dry air mole fractions of CO$_{2}$ (X$_{CO_{2}}$) from the NASA Orbiting Carbon Observatory 2 (OCO-2) have allowed for unprecedented data coverage of northern high-latitude regions, while maintaining acceptable accuracy and consistency relative to ground-based observations, and finally providing sufficient data in spring and autumn for analysis of satellite-observed X$_{CO_{2}}$ seasonal cycles across a majority of terrestrial northern high-latitude regions. Here, we present an analysis of X$_{CO_{2}}$ seasonal cycles calculated from OCO-2 data for temperate, boreal, and tundra regions, subdivided into 5∘ latitude by 20∘ longitude zones. We quantify the seasonal cycle amplitudes (SCAs) and the annual half drawdown day (HDD). OCO-2 SCAs are in good agreement with ground-based observations at five high-latitude sites, and OCO-2 SCAs show very close agreement with SCAs calculated for model estimates of X$_{CO_{2}}$ from the Copernicus Atmosphere Monitoring Services (CAMS) global inversion-optimized greenhouse gas flux model v19r1 and the CarbonTracker2019 model (CT2019B). ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000140899
Veröffentlicht am 08.12.2021
DOI: 10.5194/acp-21-16661-2021
Zitationen: 6
Web of Science
Zitationen: 2
Zitationen: 9
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 16.11.2021
Sprache Englisch
Identifikator ISSN: 1680-7316, 1680-7324
KITopen-ID: 1000140899
HGF-Programm 12.11.13 (POF IV, LK 01) Long-term trends of global atmospheric composition
Erschienen in Atmospheric Chemistry and Physics
Verlag European Geosciences Union (EGU)
Band 21
Heft 22
Seiten 16661-16687
Nachgewiesen in Dimensions
Web of Science
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