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| Titel |
MAX-DOAS observations of the total atmospheric water vapour column and comparison with independent observations |
| VerfasserIn |
T. Wagner, M. O. Andreae, S. Beirle, S. Dörner, K. Mies, R. Shaiganfar |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 6, no. 1 ; Nr. 6, no. 1 (2013-01-30), S.131-149 |
| Datensatznummer |
250017377
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| Publikation (Nr.) |
 copernicus.org/amt-6-131-2013.pdf |
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| Zusammenfassung |
| We developed an algorithm for the retrieval of the atmospheric water vapour
column from Multi-AXis Differential Optical Absorption Spectroscopy
(MAX-DOAS) observations in the yellow and red spectral range. The retrieval
is based on the so-called geometric approximation and does not depend on
explicit a priori information for individual observations, extensive
radiative transfer simulations, or the construction of large look-up tables.
Disturbances of the radiative transfer due to aerosols and clouds are simply
corrected using the simultaneously measured absorptions of the oxygen dimer,
O4. We applied our algorithm to MAX-DOAS observations made at the Max
Planck Institute for Chemistry in Mainz, Germany, from March to August 2011,
and compared the results to independent observations. Good agreement with
Aerosol Robotic Network (AERONET) and European Centre for Medium-Range
Weather Forecasting (ECMWF) H2O vertical column densities (VCDs) is
found, while the agreement with satellite observations is less good, most
probably caused by the shielding effect of clouds for the satellite
observations. Good agreement is also found with near-surface in situ
observations, and it was possible to derive average daily H2O scale
heights (between 1.5 km and 3 km). MAX-DOAS measurements use cheap and
simple instrumentation and can be run automatically. One important advantage
of our algorithm is that the H2O VCD can be retrieved even under cloudy
conditions (except clouds with very high optical thickness). |
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