Ritschel, Christoph; Müller, Klaus; Rust, Henning; Ulbrich, Uwe (2017): Berlin Dahlem precipitation time-series 2001-2013 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.883587, Supplement to: Ritschel, Christoph; Ulbrich, Uwe; Névir, Peter; Rust, Henning (2017): Precipitation extremes on multiple timescales - Bartlett-Lewis rectangular pulse model and intensity-duration-frequency curves. Hydrology and Earth System Sciences, 21(12), 6501-6517, https://doi.org/10.5194/hess-21-6501-2017
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Abstract:
For several hydrological modelling tasks, precipitation time-series with a high (i.e. sub-daily) resolution are indispensable. This data is, however, not always available and thus model simulations are used to compensate. A canonical class of stochastic models for sub-daily precipitation are Poisson-cluster processes, with the Bartlett-Lewis rectangular pulse model (BLRPM) as a prominent representative. The BLRPM has been shown to well reproduce certain characteristics found in observations. Our focus is on intensity-duration-frequency relationship (IDF), which are of particular interest in risk assessment. Based on a high resolution precipitation time-series (5-min) from Berlin-Dahlem, BLRPM parameters are estimated and IDF curves are obtained on the one hand directly from the observations and on the other hand from BLRPM simulations. Comparing the resulting IDF curves suggests that the BLRPM is able to reproduce main features of IDF statistics across several durations but cannot capture singular events (here an event of magnitude 5 times larger than the second larges event). Here, IDF curves are estimated based on a parametric model for the duration dependence of the scale parameter in the General Extreme Value distribution; this allows to obtain a consistent set of curves over all durations. We use the BLRPM to investigate the validity of this approach based on simulated long time series.
Coverage:
Latitude: 52.454100 * Longitude: 13.306600
Date/Time Start: 2001-01-01T00:01:00 * Date/Time End: 2013-12-31T23:01:00
Minimum ORDINAL NUMBER: 1 * Maximum ORDINAL NUMBER: 113952
Event(s):
Comment:
This data set contains an hourly precipitation time series from Berlin Botanischer Garten. The precipitation time series was recorded by a tipping bucket.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | ORDINAL NUMBER | Ord No | Ritschel, Christoph | Geocode | ||
| 2 | DATE/TIME | Date/Time | Ritschel, Christoph | Geocode | ||
| 3 | Precipitation | Precip | mm/h | Ritschel, Christoph | Tipping bucket |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
113952 data points
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