 |
| Titel |
Mapping an index of extreme rainfall across the UK |
| VerfasserIn |
D. S. Faulkner, C. Prudhomme |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 2, no. 2/3 ; Nr. 2, no. 2/3, S.183-194 |
| Datensatznummer |
250000347
|
| Publikation (Nr.) |
 copernicus.org/hess-2-183-1998.pdf |
|
|
|
|
|
| Zusammenfassung |
Distance from the sea, proximity of mountains,
continentality and elevation are all useful covariates to assist the mapping of extreme
rainfalls. Regression models linking these and other variables calculated from a digital
terrain model have been built for estimating the median annual maximum rainfall, RMED.
This statistic, for rainfall durations between 1 hour and 8 days, is the index variable in
the rainfall frequency analysis for the new UK Flood Estimation Handbook.
The interpolation of RMED between raingauge sites is most challenging
in mountainous regions, which combine the greatest variation in rainfall with the sparsest
network of gauges. Sophisticated variables have been developed to account for the
influence of topography on extreme rainfall, the geographical orientation of the variables
reflecting the prevailing direction of rain-bearing weather systems. The different
processes of short and long-duration extreme rainfall are accounted for by separate
regression models.
The technique of georegression combines estimates from regression
models with a map of correction factors interpolated between raingauge locations using the
geostatistical method of kriging, to produce final maps of RMED across the UK. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|