Articles | Volume 6, issue 1
https://doi.org/10.5194/amt-6-131-2013
https://doi.org/10.5194/amt-6-131-2013
Research article
 | 
30 Jan 2013
Research article |  | 30 Jan 2013

MAX-DOAS observations of the total atmospheric water vapour column and comparison with independent observations

T. Wagner, M. O. Andreae, S. Beirle, S. Dörner, K. Mies, and R. Shaiganfar

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Cited articles

Bobrowski, N., Hönninger, G., Galle, B., and Platt, U.: Detection of bromine monoxide in a volcanic plume, Nature, 423, 273–276, 2003.
Burrows, J. P., Dehn, A., Deters, B., Himmelmann, S., Richter, A., Voigt, S., and Orphal, J.: Atmospheric Remote-Sensing Reference Data from GOME: 2. Temperature-Dependent Absorption Cross Sections of O3 in the 231–794 nm Range, J. Quant. Spectrosc. Ra., 61, 509–517, 1999.
Cantrell, C. A.: Technical Note: Review of methods for linear least-squares fitting of data and application to atmospheric chemistry problems, Atmos. Chem. Phys., 8, 5477–5487, https://doi.org/10.5194/acp-8-5477-2008, 2008.
Casadio, S., Zehner, C., Pisacane, G., and Putz, E.: Empirical retrieval of the atmospheric air mass factor (ERA) for the measurement of water vapour vertical content using GOME data, Geophys. Res. Lett., 27, 1483–1486, 2000.
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