Radar surface rainfall estimates using a typical shape function approach to correct for the variations in the vertical profile of reflectivity
| Autor: | M. J. Uddstrom, W. R. Gray, H. R. Larsen |
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| Rok vydání: | 2002 |
| Předmět: | |
| Zdroj: | International Journal of Remote Sensing. 23:2489-2504 |
| ISSN: | 1366-5901 0143-1161 |
| Popis: | A new approach is presented to the problem of correcting radar estimates of surface rainfall for errors resulting from the changes in reflectivity between the surface and the height at which the radar measures reflectivity. In this approach, a set of five typical shape functions (TSF) of a sample of 89 000 vertical profiles was found. These vertical profiles were formed from volumes scan information, interpolated onto 10 levels, at 250 m spacing, with level 6 being set to the height of the top of the bright band. The TSF class for each vertical profile was determined from a limited set of observations of reflectivity aloft using Bayesian discriminant functions. Regression equations were developed for each TSF class to estimate the lowest interpolated level reflectivity (level 1) from these observations aloft. Application of the discriminant functions shows that the 62% of the dependent sample could be correctly classified into its TSF class for data at heights greater than 500 m below the bright band. In ... |
| Databáze: | OpenAIRE |
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