Intercomparison of Arctic ground-based XH2O observations from COCCON, TCCON and NDACC, and application of COCCON XH2O for IASI and TROPOMI validation

• Main Authors: Tu, Qiansi, Hase, Frank, Blumenstock, Thomas, Schneider, Matthias, Schneider, Andreas, Kivi, Rigel, Heikkinen, Pauli, Ertl, Benjamin, Diekmann, Christopher, Khosrawi, Farahnaz, Sommer, Michael, Borsdorff, Tobias, Raffalski, Uwe
• Format: Text
• Language: English
• Published: 2020
• Subjects: Arctic; Kiruna; Sodankylä
• Online Access: https://doi.org/10.5194/amt-2020-378; https://amt.copernicus.org/preprints/amt-2020-378/

In this paper, we compare column-averaged dry-air mole fractions of water vapor (XH 2 O) retrievals from COCCON (COllaborative Carbon Column Observing Network) with retrievals from two co-located high-resolution FTIR (Fourier transform infrared) spectrometers as references at two boreal sites, Kiruna, Swedenand Sodankylä, Finland. In the framework of the NDACC (Network for the Detection of Atmospheric Composition Change) an FTIR spectrometer is operated in Kiruna. The H 2 O product derived from these observations has been generated with the MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) processor. In Sodankylä, a TCCON (Total Carbon Column Observing Network) 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 to MUSICA NDACC and (56.32 ± 45.63) ppm ((3.44 ± 1.77) %, R 2 = 0.9997) compared to TCCON. Furthermore, the a priori H 2 O VMR (volume mixing ratio) profiles (MAP) used as a priori in the TCCON retrievals (also adopted for COCCON retrievals) are evaluated with respect to radiosonde (Vaisala RS41) profiles at Sodankylä. The MAP and radiosonde profiles show similar shapes and good correlation of integrated XH 2 O, indicating that MAP is a reasonable approximation for the true atmospheric state and an appropriate choice for the scaling retrieval methods as applied by COCCON and TCCON. COCCON shows a reduced dry bias (−1.66 %) in comparison to TCCON (−5.63 %) with respect to radiosonde XH 2 O and this small bias indicates that besides XCO 2 and XCH 4 COCCON is also able to serve as validation tool for space-borne XH 2 O measurements. Finally, we investigate the quality of satellite data at high latitudes. For this purpose, the COCCON XH 2 O is compared with retrievals from the Infrared Atmospheric Sounding Interferometer (IASI) generated with the MUSICA processor (MUSICA IASI) and with retrievals from the TROPOspheric Monitoring Instrument (TROPOMI). Both paired datasets show generally good agreement and similar correlations at the two sites. COCCON measures 4.64 % less XH 2 O at Kiruna and 3.36 % at Sodankylä with respect to MUSICA IASI, while COCCON measures 9.71 % more XH 2 O at Kiruna and 7.75 % at Sodankylä compared with TROPOMI. Our study supports the assumption that COCCON also delivers a well-characterized XH 2 O data product. This emphasizes the approach of supplementing the TCCON network for satellite validation efforts. This is the first published study where COCCON XH 2 O is compared with MUSICA NDACC and TCCON retrievals, and for MUSICA IASI and TROPOMI validation.