 |
| Titel |
Mapping monthly rainfall data in Galicia (NW Spain) using inverse distances and geostatistical methods |
| VerfasserIn |
J. M. Mirás-Avalos, A. Paz-González, E. Vidal-Vázquez, P. Sande-Fouz |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1680-7340
|
| Digitales Dokument |
URL |
| Erschienen |
In: Observation, Prediction and Verification of Precipitation (EGU Session 2006) ; Nr. 10 (2007-04-26), S.51-57 |
| Datensatznummer |
250007853
|
| Publikation (Nr.) |
 copernicus.org/adgeo-10-51-2007.pdf |
|
|
|
|
|
| Zusammenfassung |
| In this paper, results from three different interpolation techniques based
on Geostatistics (ordinary kriging, kriging with external drift and
conditional simulation) and one deterministic method (inverse distances) for
mapping total monthly rainfall are compared. The study data set comprised
total monthly rainfall from 1998 till 2001 corresponding to a maximum of 121
meteorological stations irregularly distributed in the region of Galicia (NW
Spain). Furthermore, a raster Geographic Information System (GIS) was used
for spatial interpolation with a 500×500 m grid digital elevation model.
Inverse distance technique was appropriate for a rapid estimation of the
rainfall at the studied scale. In order to apply geostatistical
interpolation techniques, a spatial dependence analysis was performed;
rainfall spatial dependence was observed in 33 out of 48 months analysed,
the rest of the rainfall data sets presented a random behaviour. Different
values of the semivariogram parameters caused the smoothing in the maps
obtained by ordinary kriging. Kriging with external drift results were
according to former studies which showed the influence of topography.
Conditional simulation is considered to give more realistic results;
however, this consideration must be confirmed with new data. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|