A geostatistical approach to multisensor rain field reconstruction and downscaling
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 proba...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2001-01-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | http://www.hydrol-earth-syst-sci.net/5/201/2001/hess-5-201-2001.pdf |
| _version_ | 1819133389819609088 |
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| author | P. Fiorucci P. Fiorucci P. La Barbera P. La Barbera L.G. Lanza L.G. Lanza R. Minciardi R. Minciardi |
| author_facet | P. Fiorucci P. Fiorucci P. La Barbera P. La Barbera L.G. Lanza L.G. Lanza R. Minciardi R. Minciardi |
| author_sort | P. Fiorucci |
| collection | DOAJ |
| description | 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 <i>a posteriori</i> estimates of the rain figures at each grid cell as the <i>a priori</i> 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.</p> <p style='line-height: 20px;'><b>Keywords: </b>Reconstruction, downscaling, remote sensing, geostatistics, Meteosat |
| first_indexed | 2024-12-22T09:46:31Z |
| format | Article |
| id | doaj.art-844ec38ece3545a99a6548d0da0d82dd |
| institution | Directory Open Access Journal |
| issn | 1027-5606 1607-7938 |
| language | English |
| last_indexed | 2024-12-22T09:46:31Z |
| publishDate | 2001-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Hydrology and Earth System Sciences |
| spelling | doaj.art-844ec38ece3545a99a6548d0da0d82dd2022-12-21T18:30:31ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382001-01-0152201213A geostatistical approach to multisensor rain field reconstruction and downscalingP. FiorucciP. FiorucciP. La BarberaP. La BarberaL.G. LanzaL.G. LanzaR. MinciardiR. MinciardiA 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 <i>a posteriori</i> estimates of the rain figures at each grid cell as the <i>a priori</i> 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.</p> <p style='line-height: 20px;'><b>Keywords: </b>Reconstruction, downscaling, remote sensing, geostatistics, Meteosathttp://www.hydrol-earth-syst-sci.net/5/201/2001/hess-5-201-2001.pdf |
| spellingShingle | P. Fiorucci P. Fiorucci P. La Barbera P. La Barbera L.G. Lanza L.G. Lanza R. Minciardi R. Minciardi A geostatistical approach to multisensor rain field reconstruction and downscaling Hydrology and Earth System Sciences |
| title | A geostatistical approach to multisensor rain field reconstruction and downscaling |
| title_full | A geostatistical approach to multisensor rain field reconstruction and downscaling |
| title_fullStr | A geostatistical approach to multisensor rain field reconstruction and downscaling |
| title_full_unstemmed | A geostatistical approach to multisensor rain field reconstruction and downscaling |
| title_short | A geostatistical approach to multisensor rain field reconstruction and downscaling |
| title_sort | geostatistical approach to multisensor rain field reconstruction and downscaling |
| url | http://www.hydrol-earth-syst-sci.net/5/201/2001/hess-5-201-2001.pdf |
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