Mapping Extreme Rainfall in a Mountainous Region Using Geostatistical Techniques : a Case Study in Scotland

@inproceedings{Prudhomme1999MappingER,
  title={Mapping Extreme Rainfall in a Mountainous Region Using Geostatistical Techniques : a Case Study in Scotland},
  author={Christel Prudhomme and Duncan Reed},
  year={1999}
}
The spatial pattern of precipitation is known to be highly dependent on meteorological conditions and relief. However, the relationships between precipitation and topography in mountainous areas are not very well known, partly because of the complex topography in these regions, and partly because of the sparsity of information available to study such relationships in high elevation areas. The purpose of the investigation was to find a method of mapping extreme rainfall in the mountainous region… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 48 references

Topographic bias in mesoscale precipitation networks

P. R. Briggs, J. G. Cogley
J. Clim., • 1996
View 5 Excerpts
Highly Influenced

A precipitation climatology of the Alps from high-resolution rain-gauge observations’, Int

C. Frei, C. Schär
J. Climatol., 18, 873–900. • 1998
View 4 Excerpts
Highly Influenced

Relationships between extreme daily precipitation and topography in a mountainous region

C. Prudhomme, D. W. Reed
mountainous terrain’, • 1998
View 16 Excerpts
Highly Influenced

Geostatistical methods for incorporating auxiliary information in the prediction of spatial variables’, J

C. A. Gotway, A. H. Hartford
Agric. Biol. En6. Stat., 1, 17–39. • 1996
View 5 Excerpts
Highly Influenced

Further results on prediction of soil properties from terrain

I.O.A. Odeh, A. B. McBratney, D. J. Chittleborough
United States’, J. Appl. Meteorol., • 1995
View 16 Excerpts
Highly Influenced

Identification and calibration of spatial correlation patterns of rainfall

N. J. Kottegoda
Water Resour. Res., • 1995
View 5 Excerpts
Highly Influenced

‘ A comparison of geostatistical procedures for spatial analysis of precipitation in mountainous terrain ’ , Agric

D. L. Phillips, J. Dolph, D. Marks
Forest Meteorol . • 1992
View 9 Excerpts
Highly Influenced

Geostatistics applied to groundwater contamination. I: Methodology

R. M. 23–48. Cooper, J. D. Istok
J. En6iron. Eng., • 1988
View 6 Excerpts
Highly Influenced

‘ Comparison of geostatistical methods for estimating transmissivity using data on transmissivity and specific capacity ’

S. Ahmed, G. de Marsily
Water Resour . Res . • 1987
View 5 Excerpts
Highly Influenced

Geostatistical methods for incorporating auxiliary information in the prediction of spatial variables ’

C. A. Gotway, A. H. Hartford
J . Agric . Biol . En 6 . Stat . • 1996
View 3 Excerpts
Highly Influenced

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