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| Titel |
A seasonal Bartlett-Lewis Rectangular Pulse model |
| VerfasserIn |
Christoph Ritschel, Komlan Agbéko Kpogo-Nuwoklo, Henning Rust, Uwe Ulbrich, Peter Névir |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250127660
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| Publikation (Nr.) |
 EGU/EGU2016-7560.pdf |
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| Zusammenfassung |
| Precipitation time series with a high temporal resolution are needed as
input for several hydrological applications, e.g. river runoff or sewer
system models. As adequate observational data sets are often not
available, simulated precipitation series come to use. Poisson-cluster
models are commonly applied to generate these series. It has been shown
that this class of stochastic precipitation models is able to well
reproduce important characteristics of observed rainfall. For the gauge
based case study presented here, the Bartlett-Lewis
rectangular pulse model (BLRPM) has been chosen.
As it has been shown that certain model parameters vary with season in a
midlatitude moderate climate due to different rainfall mechanisms
dominating in winter and summer, model parameters are typically
estimated separately for individual seasons or individual months.
Here, we suggest a simultaneous parameter estimation for the whole year
under the assumption that seasonal variation of parameters can be
described with harmonic functions. We use an observational precipitation
series from Berlin with a high temporal resolution to exemplify the
approach. We estimate BLRPM parameters with and without this seasonal
extention and compare the results in terms of model performance and
robustness of the estimation. |
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