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| Titel |
Climatology of daily rainfall semi-variance in The Netherlands |
| VerfasserIn |
C. Z. Beek, H. Leijnse, P. J. J. F. Torfs, R. Uijlenhoet |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 15, no. 1 ; Nr. 15, no. 1 (2011-01-18), S.171-183 |
| Datensatznummer |
250012594
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| Publikation (Nr.) |
 copernicus.org/hess-15-171-2011.pdf |
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| Zusammenfassung |
| Rain gauges can offer high quality rainfall measurements at their locations.
Networks of rain gauges can offer better insight into the space-time
variability of rainfall, but they tend to be too widely spaced for accurate
estimates between points. While remote sensing systems, such as radars and
networks of microwave links, can offer good insight in the spatial
variability of rainfall they tend to have more problems in identifying the
correct rain amounts at the ground. A way to estimate the variability of
rainfall between gauge points is to interpolate between them using fitted
variograms. If a dense rain gauge network is lacking it is difficult to
estimate variograms accurately. In this paper a 30-year dataset of daily rain
accumulations gathered at 29 automatic weather stations operated by KNMI
(Royal Netherlands Meteorological Institute) and a one-year dataset of 10
gauges in a network with a radius of 5 km around CESAR (Cabauw Experimental
Site for Atmospheric Research) are employed to estimate variograms. Fitted
variogram parameters are shown to vary according to season, following simple
cosine functions. Semi-variances at short ranges during winter and spring
tend to be underestimated, but semi-variances during summer and autumn are
well predicted. |
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