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| Titel |
The MPIC/DLR "climate" water vapour product: A consistent time-series of H2O columns from GOME/SCIAMACHY/GOME-2 |
| VerfasserIn |
Steffen Beirle, Johannes Lampel, Margherita Grossi, Diego Loyola, Angelika Dehn, Yang Wang, Thomas Wagner |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250139549
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| Publikation (Nr.) |
 EGU/EGU2017-2810.pdf |
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| Zusammenfassung |
| The MPIC/DLR "climate" water vapour product, developed within ESA's "GOME Evolution" project, provides a consistent time series of monthly mean H2O columns from the satellite instruments GOME, SCIAMACHY, and GOME-2 (Metop-A).
Consistency amongst the different instruments (including cloud treatment) is substantially improved by (1) merging SCIAMACHY and GOME-2 observations to GOME pixel size, and (2) reducing the GOME-2 swath width to GOME/SCIAMACHY swath, thereby mimicking GOME-like observation conditions for all three sensors.
Here we
- provide the details of the "climate" algorithm,
- demonstrate the improved agreement gained by consistent pixel size and swath,
- discuss reasons for remaining biases between the different instruments and provide strategies for the quantification and correction of these biases during overlap periods, and
- present some first results of the climate H2O product, covering two
decades of H2O VCDs globally. |
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