Articles | Volume 14, issue 3
https://doi.org/10.5194/amt-14-1993-2021
https://doi.org/10.5194/amt-14-1993-2021
Research article
 | 
11 Mar 2021
Research article |  | 11 Mar 2021

Intercomparison of arctic XH2O observations from three ground-based Fourier transform infrared networks and application for satellite validation

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

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Cited articles

Allan, R. P.: The Role of Water Vapour in Earth's Energy Flows, Surv. Geophys., 33, 557–564, https://doi.org/10.1007/s10712-011-9157-8, 2012. 
Alraddawi, D., Sarkissian, A., Keckhut, P., Bock, O., Noël, S., Bekki, S., Irbah, A., Meftah, M., and Claud, C.: Comparison of total water vapour content in the Arctic derived from GNSS, AIRS, MODIS and SCIAMACHY, Atmos. Meas. Tech., 11, 2949–2965, https://doi.org/10.5194/amt-11-2949-2018, 2018. 
Barthlott, S., Schneider, M., Hase, F., Blumenstock, T., Mengistu Tsidu, G., Grutter de la Mora, M., Strong, K., Notholt, J., Mahieu, E., Jones, N., and Smale, D.: The ground-based MUSICA dataset: Tropospheric water vapour isotopologues (H216O, H218O and HD16O) as obtained from NDACC/FTIR solar absorption spectra, Data set, Zenodo, https://doi.org/10.5281/zenodo.48902, 2016 (data available at: https://www-air.larc.nasa.gov/pub/NDACC/PUBLIC/MUSICA/, last access: 14 February 2021). 
Blumenstock, T., Kopp, G., Hase, F., Hochschild, G., Mikuteit, S., Raffalski, U., and Ruhnke, R.: Observation of unusual chlorine activation by ground-based infrared and microwave spectroscopy in the late Arctic winter 2000/01, Atmos. Chem. Phys., 6, 897–905, https://doi.org/10.5194/acp-6-897-2006, 2006. 
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We compare column-averaged dry-air mole fractions of water vapor (XH2O) retrievals from the COllaborative Carbon Column Observing Network (COCCON) with two co-located ground-based spectrometers as references at two boreal sites. Our study supports the assumption that COCCON also delivers a well-characterized XH2O data product. This is the first published study applying COCCON for MUSICA IASI and TROPOMI validation.
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