Regionalisation of rainfall depth–duration–frequency curves with different data types in Germany
<p>Rainfall depth–duration–frequency (DDF) curves are required for the design of several water systems and protection works. For the reliable estimation of such curves, long and dense observation networks are necessary, which in practice is seldom the case. Usually observations with different...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2023-03-01
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Series: | Hydrology and Earth System Sciences |
Online Access: | https://hess.copernicus.org/articles/27/1109/2023/hess-27-1109-2023.pdf |
Summary: | <p>Rainfall depth–duration–frequency (DDF) curves are required for the design
of several water systems and protection works. For the reliable estimation of
such curves, long and dense observation networks are necessary, which in
practice is seldom the case. Usually observations with different accuracy,
temporal resolution and density are present. In this study, we investigate
the integration of different observation datasets under different methods
for the local and regional estimation of DDF curves in Germany. For this
purpose, two competitive DDF procedures for local estimation
(Koutsoyiannis et al., 1998;
Fischer and Schumann, 2018) and two for regional
estimation (kriging theory vs. index based) are implemented and compared.
Available station data from the German Weather Service (DWD) for Germany are
employed, which includes 5000 daily stations with more than 10 years
available, 1261 high-resolution (1 min) recordings with an observation period
between 10 and 20 years, and finally 133 high-resolution (1 min) recordings
with 60–70 years of observations. The performance of the selected approaches
is evaluated by cross-validation, where the local DDFs from the long
sub-hourly time series are considered the true reference. The results reveal
that the best approach for the estimation of the DDF curves in Germany is by
first deriving the local extreme value statistics based on
Koutsoyiannis et al.'s (1998) framework and later
using the kriging regionalisation of long sub-hourly time series with the
short sub-hourly time series acting as an external drift. The integration of
the daily stations proved to be useful only for DDF values of a low return
period (<span class="inline-formula"><i>T</i>[<i>a</i>] <i><</i> 10</span> years) but does not introduce any improvement for
higher return periods (<span class="inline-formula"><i>T</i>[<i>a</i>] ≥ 10</span> years).</p> |
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ISSN: | 1027-5606 1607-7938 |