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Nitrous Oxide Profiling from Infrared Radiances (NOPIR): Algorithm Description, Application to 10 Years of IASI Observations and Quality Assessment

Vandenbussche, Sophie ; Langerock, Bavo; Vigouroux, Corinne; Buschmann, Matthias; Deutscher, Nicholas M.; Feist, Dietrich G.; García, Omaira; Hannigan, James W.; Hase, Frank 1; Kivi, Rigel; Kumps, Nicolas; Makarova, Maria; Millet, Dylan B.; Morino, Isamu; Nagahama, Tomoo; Notholt, Justus; Ohyama, Hirofumi; Ortega, Ivan; Petri, Christof; ... mehr

Abstract:

Nitrous oxide (N$_{2}$O) is the third most abundant anthropogenous greenhouse gas (after carbon dioxide and methane), with a long atmospheric lifetime and a continuously increasing concentration due to human activities, making it an important gas to monitor. In this work, we present a new method to retrieve N$_{2}$O concentration profiles (with up to two degrees of freedom) from each cloud-free satellite observation by the Infrared Atmospheric Sounding Interferometer (IASI), using spectral micro-windows in the N$_{2}$O ν$_{3}$ band, the Radiative Transfer for TOVS (RTTOV) tools and the Tikhonov regularization scheme. A time series of ten years (2011–2020) of IASI N$_{2}$O profiles and integrated partial columns has been produced and validated with collocated ground-based Network for the Detection of Atmospheric Composition Change (NDACC) and Total Carbon Column Observing Network (TCCON) data. The importance of consistency in the ancillary data used for the retrieval for generating consistent time series has been demonstrated. The Nitrous Oxide Profiling from Infrared Radiances (NOPIR) N$_{2}$O partial columns are of very good quality, with a positive bias of 1.8 to 4% with respect to the ground-based data, which is less than the sum of uncertainties of the compared values. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000145877
Veröffentlicht am 06.05.2022
Originalveröffentlichung
DOI: 10.3390/rs14081810
Scopus
Zitationen: 2
Dimensions
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 2022
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000145877
HGF-Programm 12.11.13 (POF IV, LK 01) Long-term trends of global atmospheric composition
Erschienen in Remote Sensing
Verlag MDPI
Band 14
Heft 8
Seiten Art.Nr. 1810
Vorab online veröffentlicht am 08.04.2022
Schlagwörter IASI; nitrous oxide; greenhouse gas; retrieval; validation
Nachgewiesen in Dimensions
Web of Science
Scopus
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