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| Titel |
Innovations and applications of the VERA quality control |
| VerfasserIn |
D. Mayer, A. Steiner, R. Steinacker |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
2193-0856
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Instrumentation, Methods and Data Systems ; 1, no. 2 ; Nr. 1, no. 2 (2012-10-08), S.135-149 |
| Datensatznummer |
250000166
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| Publikation (Nr.) |
 copernicus.org/gi-1-135-2012.pdf |
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| Zusammenfassung |
| Quality control (QC) is seen today as an important scientific
field to increase the value of observational data. Whereas most
QC methods are linked to atmospheric modeling (being part of the
data assimilation procedure), in this paper the focus is on the
application of a model independent QC method based on data self
consistency recently published: VERA-QC. A special challenge is
the QC of data in complex terrain which requires special treatment
in terms of data selection and data transformation. In this
context, some special VERA-QC modules such as the consideration of
significant elevation differences of adjacent stations or the
consideration of transformed temperature values will be discussed.
The system detects gross errors as well as biases and offers
objective correction proposals (deviations) for each observation.
The essential gross error detection is not only based on the
statistical behavior of station specific deviations, but also on
the rate of cost function reduction. Beside a two dimensional
application, higher dimensionalities may also be chosen, for
instance including the time coordinate. Applications and results
are discussed for pressure, temperature as well as for
precipitation data which needs, however, a very dense observation
network. Real time application of VERA-QC allows the production of
high quality fields of meteorological parameters, which can be used,
e.g. for nowcasting as well as for model unbiased validation of
prognostic models. |
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