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| Titel |
A geostatistical approach to multisensor rain field reconstruction and downscaling |
| VerfasserIn |
P. Fiorucci, P. Barbera, L. G. Lanza, R. Minciardi |
| 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 ; 5, no. 2 ; Nr. 5, no. 2, S.201-213 |
| Datensatznummer |
250002408
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| Publikation (Nr.) |
 copernicus.org/hess-5-201-2001.pdf |
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| Zusammenfassung |
| A rain field
reconstruction and downscaling methodology is presented, which allows suitable
integration of large scale rainfall information and
rain-gauge measurements at the ground. The former data set is assumed to provide
probabilistic indicators that are used to infer the parameters
of the probability density function of the stochastic rain process at each pixel
site. Rain-gauge measurements are assumed as the ground
truth and used to constrain the reconstructed rain field to the associated point
values. Downscaling is performed by assuming the a posteriori estimates of the rain
figures at each grid cell as the a priori large-scale conditioning values
for reconstruction of the rain field at finer scale. The
case study of an intense rain event recently observed in northern Italy is
presented and results are discussed with reference to the
modelling capabilities of the proposed methodology.
Keywords: Reconstruction, downscaling, remote sensing, geostatistics, Meteosat |
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