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The ESA GOME-Evolution “Climate” water vapor product: a homogenized time series of H2O columns from GOME, SCIAMACHY, and GOME-2

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We present time series of the global distribution of water vapor columns over more than 2 decades based on measurements from the satellite instruments GOME, SCIAMACHY, and GOME-2 in the red spectral range. A particular focus is the consistency amongst the different sensors to avoid jumps from one in...

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Bibliographic Details
Main Authors: Beirle, Steffen (Author) , Lampel, Johannes (Author)
Format: Article (Journal)
Language:English
Published: 12 Mar 2018
In: Earth system science data
Year: 2018, Volume: 10, Issue: 1, Pages: 449-468
ISSN:1866-3516
DOI:https://doi.org/10.5194/essd-10-449-2018
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/https://doi.org/10.5194/essd-10-449-2018
Verlag, lizenzpflichtig, Volltext: https://www.earth-syst-sci-data.net/10/449/2018/
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Author Notes:Steffen Beirle, Johannes Lampel, Yang Wang, Kornelia Mies, Steffen Dörner, Margherita Grossi, Diego Loyola, Angelika Dehn, Anja Danielczok, Marc Schröder, and Thomas Wagner
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Summary:We present time series of the global distribution of water vapor columns over more than 2 decades based on measurements from the satellite instruments GOME, SCIAMACHY, and GOME-2 in the red spectral range. A particular focus is the consistency amongst the different sensors to avoid jumps from one instrument to another. This is reached by applying robust and simple retrieval settings consistently. Potentially systematic effects due to differences in ground pixel size are avoided by merging SCIAMACHY and GOME-2 observations to GOME spatial resolution, which also allows for a consistent treatment of cloud effects. In addition, the GOME-2 swath is reduced to that of GOME and SCIAMACHY to have consistent viewing geometries. Remaining systematic differences between the different sensors are investigated during overlap periods and are corrected for in the homogenized time series. The resulting "Climate" product v2.2 (https://doi.org/10.1594/WDCC/GOME-EVL_water_vapor_clim_v2.2) allows the study of the temporal evolution of water vapor over the last 20 years on a global scale.
Item Description:Im Titel ist die Zahl "2" im Ausdruck "H2O" tiefgestellt
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Physical Description:Online Resource
ISSN:1866-3516
DOI:https://doi.org/10.5194/essd-10-449-2018

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