A Maximum Entropy Modelling of the Rain Drop Size Distribution
This paper presents a maximum entropy approach to Rain Drop Size Distribution (RDSD) modelling. It is shown that this approach allows (1) to use a physically consistent rationale to select a particular probability density function (pdf) (2) to provide an alternative method for parameter estimation b...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2011-01-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1099-4300/13/2/293/ |
| _version_ | 1811306269318840320 |
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| author | Francisco J. Tapiador Ramiro Checa |
| author_facet | Francisco J. Tapiador Ramiro Checa |
| author_sort | Francisco J. Tapiador |
| collection | DOAJ |
| description | This paper presents a maximum entropy approach to Rain Drop Size Distribution (RDSD) modelling. It is shown that this approach allows (1) to use a physically consistent rationale to select a particular probability density function (pdf) (2) to provide an alternative method for parameter estimation based on expectations of the population instead of sample moments and (3) to develop a progressive method of modelling by updating the pdf as new empirical information becomes available. The method is illustrated with both synthetic and real RDSD data, the latest coming from a laser disdrometer network specifically designed to measure the spatial variability of the RDSD. |
| first_indexed | 2024-04-13T08:42:22Z |
| format | Article |
| id | doaj.art-941b2ca0baeb4608bcc470e1d3eec294 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-13T08:42:22Z |
| publishDate | 2011-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-941b2ca0baeb4608bcc470e1d3eec2942022-12-22T02:53:52ZengMDPI AGEntropy1099-43002011-01-0113229331510.3390/e13020293A Maximum Entropy Modelling of the Rain Drop Size DistributionFrancisco J. TapiadorRamiro ChecaThis paper presents a maximum entropy approach to Rain Drop Size Distribution (RDSD) modelling. It is shown that this approach allows (1) to use a physically consistent rationale to select a particular probability density function (pdf) (2) to provide an alternative method for parameter estimation based on expectations of the population instead of sample moments and (3) to develop a progressive method of modelling by updating the pdf as new empirical information becomes available. The method is illustrated with both synthetic and real RDSD data, the latest coming from a laser disdrometer network specifically designed to measure the spatial variability of the RDSD.http://www.mdpi.com/1099-4300/13/2/293/rain drop size distributionmaximum entropy method |
| spellingShingle | Francisco J. Tapiador Ramiro Checa A Maximum Entropy Modelling of the Rain Drop Size Distribution Entropy rain drop size distribution maximum entropy method |
| title | A Maximum Entropy Modelling of the Rain Drop Size Distribution |
| title_full | A Maximum Entropy Modelling of the Rain Drop Size Distribution |
| title_fullStr | A Maximum Entropy Modelling of the Rain Drop Size Distribution |
| title_full_unstemmed | A Maximum Entropy Modelling of the Rain Drop Size Distribution |
| title_short | A Maximum Entropy Modelling of the Rain Drop Size Distribution |
| title_sort | maximum entropy modelling of the rain drop size distribution |
| topic | rain drop size distribution maximum entropy method |
| url | http://www.mdpi.com/1099-4300/13/2/293/ |
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