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| Titel |
A conditional simulation model of intermittent rain fields |
| VerfasserIn |
L. G. Lanza |
| 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 ; 4, no. 1 ; Nr. 4, no. 1, S.173-183 |
| Datensatznummer |
250001527
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| Publikation (Nr.) |
 copernicus.org/hess-4-173-2000.pdf |
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| Zusammenfassung |
| The synthetic generation of random fields with specified
probability distribution, correlation structure and probability of no-rain areas
is used as the basis for the formulation of a stochastic space-time rainfall
model conditional on rain gauge observations. A new procedure for conditioning
while preserving intermittence is developed to provide constraints to Monte
Carlo realisations of possible rainfall scenarios. The method addresses the
properties of the convolution operator involved in generating random field
realisations and is actually independent of the numerical algorithm used for
unconditional simulation. It requires only the solution of a linear system of
algebraic equations the order of which is given by the number of the
conditioning nodes. Applications of the methodology are expected in rainfall
field reconstruction from sparse rain gauge data and in rainfall downscaling
from the large scale information that may be provided by remote sensing devices
or numerical weather prediction models.
Keywords: Space-time rainfall; Conditioning; Stochastic models |
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