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| Titel |
Time series inversion of spectra from ground-based radiometers |
| VerfasserIn |
O. M. Christensen, P. Eriksson |
| 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. 7 ; Nr. 6, no. 7 (2013-07-04), S.1597-1609 |
| Datensatznummer |
250017914
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| Publikation (Nr.) |
 copernicus.org/amt-6-1597-2013.pdf |
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| Zusammenfassung |
Retrieving time series of atmospheric constituents from ground-based
spectrometers often requires different temporal averaging depending on
the altitude region in focus. This can lead to several datasets existing for
one instrument, which complicates validation and comparisons between instruments.
This paper puts forth a possible solution by incorporating the
temporal domain into the maximum a posteriori (MAP) retrieval algorithm.
The state vector is increased to include measurements spanning a
time period, and the temporal correlations between the true atmospheric
states are explicitly specified in the a priori uncertainty matrix. This allows
the MAP method to effectively select the best temporal smoothing
for each altitude, removing the need for several datasets to cover different
altitudes.
The method is compared to traditional averaging of spectra using a
simulated retrieval of water vapour in the mesosphere. The simulations
show that the method offers a significant advantage compared to the traditional
method, extending the sensitivity an additional 10 km upwards
without reducing the temporal resolution at lower altitudes. The method
is also tested on the Onsala Space Observatory (OSO) water vapour microwave
radiometer confirming the advantages found in the simulation.
Additionally, it is shown how the method can interpolate data in time
and provide diagnostic values to evaluate the interpolated data. |
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