Over het archief
Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.
Basisinformatie over ‘Open Access to scholarly information'.
[ meld een fout in dit record ] | mandje (1): toevoegen | toon |
one publication added to basket [383381] | |
An evaluation of the use of regional climate model data applied to extreme precipitation in the Meuse basin van Voorst, L.; Van Den Brink, H. (2024). An evaluation of the use of regional climate model data applied to extreme precipitation in the Meuse basin. Technical Report. Royal Netherlands Meteorological Institute, 413. KNMI: De Bilt. 98 pp.
Deel van: Technical Report. Royal Netherlands Meteorological Institute. Royal Netherlands Meteorological Institute: De Bilt. , meer
|
Beschikbaar in | Auteurs |
|
Auteurs | Top | |
|
Abstract |
The climatology of RACMO precipitation means and extremes in the Meuse basin and its tributaries compare very well with observations, making the dataset useful for hydrological computations. Furthermore, the extensive length of the RACMO dataset reveals a range of extreme values that was previously unanalysed. This provides new insight into the tail of the distribution of annual precipitation extremes, particularly in the curvature of GEV distributions which is described by the shape parameter. This shape parameter has a large influence on the value of the high extremes estimated by a GEV distribution and can better be estimated with the use of the longer RACMO dataset. The statistical uncertainty in the estimation of extreme precipitation is strongly reduced by the use of RACMO data: roughly a factor 4 for daily extremes and a factor 10 for hourly extremes. Further statistical analysis shows that the GEV shape parameter from observed precipitation is more robust with a long dataset. This is reflected by the spatial inconsistency of the shape parameter of observations and the more spatially consistent RACMO shape parameter. Furthermore, the shape parameter increases substantially by averaging over time and slightly when averaging in space. There is a clear distinction between the GEV distributions of summer and winter precipitation extremes, suggesting the existence of a double population. Depending on the time step (and therefore the annual dominance of summer or winter events), such a double population may influence the GEV of annual maxima. The existence of a double population, particularly in summer precipitation, is well-known in literature and is said to be related to dewpoint temperature. The existence of a double population is difficult to obtain from observations, but can have an enormous impact on the return values of summer extremes, such as the event of July 2021. The translation of summer extremes of precipitation into extreme discharges depends on the rainfall-runoff response of the considered catchment and on its catchment characteristics. |
Top | Auteurs |