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Intercomparison of arctic XH$_{2}$O observations from three ground-based Fourier transform infrared networks and application for satellite validation

Tu, Qiansi; Hase, Frank; Blumenstock, Thomas ORCID iD icon; Schneider, Matthias; Schneider, Andreas; Kivi, Rigel; Heikkinen, Pauli; Ertl, Benjamin; Diekmann, Christopher; Khosrawi, Farahnaz; Sommer, Michael; Borsdorff, Tobias; Raffalski, Uwe

Abstract:

In this paper, we compare column-averaged dry-air mole fractions of water vapor (XH$_{2}$O) retrievals from the COllaborative Carbon Column Observing Network (COCCON) with retrievals from two co-located high-resolution Fourier transform infrared (FTIR) spectrometers as references at two boreal sites, Kiruna, Sweden, and Sodankylä, Finland, from 6 March 2017 to 20 September 2019. In the framework of the Network for the Detection of Atmospheric Composition Change (NDACC), an FTIR spectrometer is operated at Kiruna. The H$_{2}$O product derived from these observations has been generated with the MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water (MUSICA) processor. In Sodankylä, a Total Carbon Column Observing Network (TCCON) spectrometer is operated, and the official XH$_{2}$O data as provided by TCCON are used for this study. The datasets are in good overall agreement, with COCCON data showing a wet bias of (49.20±58.61) ppm ((3.33±3.37) %, R$^{2}$=0.9992) compared with MUSICA NDACC and (56.32±45.63) ppm ((3.44±1.77) %, R$^{2}$=0.9997) compared with TCCON.

Furthermore, the a priori H$_{2}$O volume mixing ratio (VMR) profiles (MAP) used as a priori information in the TCCON retrievals (also adopted for COCCON retrievals) are evaluated with respect to radiosonde (Vaisala RS41) profiles at Sodankylä. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000130905
Veröffentlicht am 26.03.2021
Originalveröffentlichung
DOI: 10.5194/amt-14-1993-2021
Scopus
Zitationen: 5
Web of Science
Zitationen: 2
Dimensions
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Universität Karlsruhe (TH) – Interfakultative Einrichtungen (Interfakultative Einrichtungen)
KIT-Zentrum Klima und Umwelt (ZKU)
Scientific Computing Center (SCC)
Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1867-1381, 1867-8548
KITopen-ID: 1000130905
HGF-Programm 12.11.13 (POF IV, LK 01) Long-term trends of global atmospheric composition
Weitere HGF-Programme 46.21.01 (POF IV, LK 01) Domain-Specific Simulation & SDLs and Research Groups
Erschienen in Atmospheric Measurement Techniques
Verlag Copernicus Publications
Band 14
Heft 3
Seiten 1993-2011
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
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Web of Science
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