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Validation of Carbon Trace Gas Profile Retrievals from the NOAA-Unique Combined Atmospheric Processing System for the Cross-Track Infrared Sounder

Nalli, Nicholas R.; Tan, Changyi; Warner, Juying; Divakarla, Murty; Gambacorta, Antonia; Wilson, Michael; Zhu, Tong; Wang, Tianyuan; Wei, Zigang; Pryor, Ken; Kalluri, Satya; Zhou, Lihang; Sweeney, Colm; Baier, Bianca C.; McKain, Kathryn; Wunch, Debra; Deutscher, Nicholas M.; Hase, Frank 1; Iraci, Laura T.; ... mehr


This paper provides an overview of the validation of National Oceanic and Atmospheric Administration (NOAA) operational retrievals of atmospheric carbon trace gas profiles, specifically carbon monoxide (CO), methane (CH4) and carbon dioxide (CO2), from the NOAA-Unique Combined Atmospheric Processing System (NUCAPS), a NOAA enterprise algorithm that retrieves atmospheric profile environmental data records (EDRs) under global non-precipitating (clear to partly cloudy) conditions. Vertical information about atmospheric trace gases is obtained from the Cross-track Infrared Sounder (CrIS), an infrared Fourier transform spectrometer that measures high resolution Earth radiance spectra from NOAA operational low earth orbit (LEO) satellites, including the Suomi National Polar-orbiting Partnership (SNPP) and follow-on Joint Polar Satellite System (JPSS) series beginning with NOAA-20. The NUCAPS CO, CH4, and CO2 profile EDRs are rigorously validated in this paper using well-established independent truth datasets, namely total column data from ground-based Total Carbon Column Observing Network (TCCON) sites, and in situ vertical profile data obtained from aircraft and balloon platforms via the NASA Atmospheric Tomography (ATom) mission and NOAA AirCore sampler, respectively. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000126519
Veröffentlicht am 20.11.2020
DOI: 10.3390/rs12193245
Zitationen: 21
Web of Science
Zitationen: 13
Zitationen: 22
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)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000126519
HGF-Programm 12.03.01 (POF III, LK 01) Long term observations of tropospheric
Erschienen in Remote sensing
Verlag MDPI
Band 12
Heft 19
Seiten Art.-Nr. 3245
Vorab online veröffentlicht am 06.10.2020
Nachgewiesen in Scopus
Web of Science
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