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| Titel |
NO2 observations from space: digging beyond the mean |
| VerfasserIn |
Steffen Beirle, Narendra Ojha, Andrea Pozzer, Jos Lelieveld  , Thomas Wagner |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250142906
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| Publikation (Nr.) |
 EGU/EGU2017-6584.pdf |
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| Zusammenfassung |
| Since two decades, satellite measurements of UV/Vis spectra allow for the global retrieval of
tropospheric NO2. This dataset has tremendously increased our understanding on the spatial
(maps) and temporal patterns (trends, seasonal or weekly cycles) of NOx sources.
Nowadays, a main application is the quantification of NOx emissions from the
observed mean NO2 column via inversion or assimilation techniques, involving
CTMs.
Due to the long time series available, temporal means provide a robust measure for
average conditions. But beyond the mean, also higher orders of the temporal distribution, in
particular variance and skewness, can be analyzed. Here we present temporal statistics for
various regions of the world, compare it to the respective statistics of a regional CTM (with
focus on Europe), analyze how far the temporal variance is driven by transport or chemistry,
and discuss what could be learned from temporal statistics on NOx transport, chemistry, or
emissions. |
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