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Comparison of OCO-2 target observations to MUCCnet – is it possible to capture urban X$_{CO2}$ gradients from space?

Rißmann, Maximilian; Chen, Jia ; Osterman, Gregory; Zhao, Xinxu; Dietrich, Florian; Makowski, Moritz; Hase, Frank 1; Kiel, Matthäus
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF), Karlsruher Institut für Technologie (KIT)

Abstract:

In this paper, we compare Orbiting Carbon Observatory 2 (OCO-2) measurements of column-averaged dry-air mole fractions (DMF) of CO$_{2}$ (X$_{CO2}$) and its urban–rural differences against ground-based remote sensing data measured by the Munich Urban Carbon Column network (MUCCnet). Since April 2020, OCO-2 has regularly conducted target observations in Munich, Germany. Its target-mode data provide high-resolution X$_{CO2}$ within a 15 km × 20 km target field of view that is greatly suited for carbon emission studies from space in cities and agglomerated areas. OCO-2 detects urban X$_{CO2}$ with a root mean square different (RMSD) of less than 1 ppm when compared to the MUCCnet reference site. OCO-2 target X$_{CO2}$ is biased high against the ground-based measurements. The close proximity of MUCCnet's five fully automated remote sensing sites enables us to compare spaceborne and ground-based X$_{CO2}$ in three urban areas of Munich separately (center, north, and west) by dividing the target field into three smaller comparison domains. Due to this more constrained collocation, we observe improved agreement between spaceborne and ground-based X$_{CO2}$ in all three comparison domains. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000153767
Veröffentlicht am 13.12.2022
Originalveröffentlichung
DOI: 10.5194/amt-15-6605-2022
Scopus
Zitationen: 9
Web of Science
Zitationen: 6
Dimensions
Zitationen: 13
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1867-1381, 1867-8548
KITopen-ID: 1000153767
HGF-Programm 12.11.13 (POF IV, LK 01) Long-term trends of global atmospheric composition
Erschienen in Atmospheric Measurement Techniques
Verlag Copernicus Publications
Band 15
Heft 22
Seiten 6605–6623
Vorab online veröffentlicht am 17.11.2022
Nachgewiesen in Dimensions
Web of Science
Scopus
Globale Ziele für nachhaltige Entwicklung Ziel 11 – Nachhaltige Städte und GemeindenZiel 13 – Maßnahmen zum Klimaschutz
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