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The Adaptable 4A Inversion (5AI): Description and first X$_{CO_{2}}$ retrievals from Orbiting Carbon Observatory-2 (OCO-2) observations

Dogniaux, M.; Crevoisier, C.; Armante, R.; Capelle, V.; Delahaye, T.; Cassé, V.; De Mazière, M.; Deutscher, N. M.; Feist, D. G.; Garcia, O. E.; Griffith, D. W. T.; Hase, F. 1; Iraci, L. T.; Kivi, R.; Morino, I.; Notholt, J.; Pollard, D. F.; Roehl, C. M.; Shiomi, K.; ... mehr


better understanding of greenhouse gas surface sources and sinks is required in order to address the global challenge of climate change. Space-borne remote estimations of greenhouse gas atmospheric concentrations can offer the global coverage that is necessary to improve the constraint on their fluxes, thus enabling a better monitoring of anthropogenic emissions. In this work, we introduce the Adaptable 4A Inversion (5AI) inverse scheme that aims to retrieve geophysical parameters from any remote sensing observation. The algorithm is based on the Optimal Estimation algorithm, relying on the Operational version of the Automatized Atmospheric Absorption Atlas (4A/OP) radiative transfer forward model along with the Gestion et Étude des Informations Spectroscopiques Atmosphériques: Management and Study of Atmospheric Spectroscopic Information (GEISA) spectroscopic database. Here, the 5AI scheme is applied to retrieve the column-averaged dry air mole fraction of carbon dioxide (X$_{CO_{2}}$) from a sample of measurements performed by the Orbiting Carbon Observatory-2 (OCO-2) mission. Those have been selected as a compromise between coverage and the lowest aerosol content possible, so that the impact of scattering particles can be neglected, for computational time purposes. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000135685
Veröffentlicht am 22.07.2021
DOI: 10.5194/amt-14-4689-2021
Zitationen: 4
Web of Science
Zitationen: 3
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1867-1381, 1867-8548
KITopen-ID: 1000135685
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 14
Heft 6
Seiten 4689-4706
Nachgewiesen in Dimensions
Web of Science
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