Regionalizing nonparametric models of precipitation amounts on different temporal scales
Parametric distribution functions are commonly used to model precipitation amounts corresponding to different durations. The precipitation amounts themselves are crucial for stochastic rainfall generators and weather generators. Nonparametric kernel density estimates (KDEs) offer a more flexible way...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-05-01
|
| Series: | Hydrology and Earth System Sciences |
| Online Access: | http://www.hydrol-earth-syst-sci.net/21/2463/2017/hess-21-2463-2017.pdf |
| Summary: | Parametric distribution functions are commonly used to model precipitation
amounts corresponding to different durations. The precipitation amounts
themselves are crucial for stochastic rainfall generators and weather
generators. Nonparametric kernel density estimates (KDEs) offer a more
flexible way to model precipitation amounts. As already stated in their name,
these models do not exhibit parameters that can be easily regionalized to run
rainfall generators at ungauged locations as well as at gauged locations. To
overcome this deficiency, we present a new interpolation scheme for
nonparametric models and evaluate it for different temporal resolutions
ranging from hourly to monthly. During the evaluation, the nonparametric
methods are compared to commonly used parametric models like the
two-parameter gamma and the mixed-exponential distribution. As water volume
is considered to be an essential parameter for applications like flood
modeling, a Lorenz-curve-based criterion is also introduced. To add value to
the estimation of data at sub-daily resolutions, we incorporated the
plentiful daily measurements in the interpolation scheme, and this idea was
evaluated. The study region is the federal state of Baden-Württemberg in
the southwest of Germany with more than 500 rain gauges. The validation
results show that the newly proposed nonparametric interpolation scheme
provides reasonable results and that the incorporation of daily values in the
regionalization of sub-daily models is very beneficial. |
|---|---|
| ISSN: | 1027-5606 1607-7938 |