Operational Monitoring of Rainfall over the Arno River Basin Using Dual-Polarized Radar and Rain Gauges
Reflectivity (ZH) and differential reflectivity (ZDR) measurements collected by Polar 55C over the Arno River basin in Italy are presented. The applicability of dual-polarization (ZDR)-based rainfall algorithms at C band in an operational setting is studied in conjunction with a network of rain gaug...
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| Published in | Journal of applied meteorology (1988) Vol. 35; no. 8; pp. 1221 - 1230 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Boston, MA
American Meteorological Society
01.08.1996
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0894-8763 1520-0450 1520-0450 |
| DOI | 10.1175/1520-0450(1996)035<1221:OMOROT>2.0.CO;2 |
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| Abstract | Reflectivity (ZH) and differential reflectivity (ZDR) measurements collected by Polar 55C over the Arno River basin in Italy are presented. The applicability of dual-polarization (ZDR)-based rainfall algorithms at C band in an operational setting is studied in conjunction with a network of rain gauges. Conventional pointwise comparison of radar and rain gauge estimates of rainfall, as well as statistical comparison of dual-polarization radar and rain gauge data via probability matching procedure, are presented. Error structure of reflectivity rainfall Z–R relation, as well as ZDR-based algorithms, is evaluated as a function of spatial and temporal averaging. Pointwise comparison, as well as statistical evaluation based on cumulative distribution function (CDF) matching, are used to show that in an operational environment with excessive ground-clutter contamination and attenuation problems the dual-polarization-based rainfall algorithm performs better than any arbitrary Z–R relation. In addition, it is shown that a dual-polarization (ZDR) algorithm obtained matching the CDFs performs better than the best possible Z–R relation. |
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| AbstractList | Reflectivity (Z sub(H)) and differential reflectivity (Z sub(DR)) measurements collected by Polar 55C over the Arno River basin in Italy are presented. The applicability of dual-polarization (Z sub(DR))-based rainfall algorithms at C band in an operational setting is studied in conjunction with a network of rain gauges. Conventional pointwise comparison of radar and rain gauge estimates of rainfall, as well as statistical comparison of dual-polarization radar and rain gauge data via probability matching procedure, are presented. Error structure of reflectivity rainfall Z-R relation, as well as Z sub(DR)-based algorithms, is evaluated as a function of spatial and temporal averaging. Pointwise comparison, as well as statistical evaluation based on cumulative distribution function (CDF) matching, are used to show that in an operational environment with excessive ground-clutter contamination and attenuation problems the dual-polarization-based rainfall algorithm performs better than any arbitrary Z-R relation. In addition, it is shown that a dual-polarization (Z sub(DR)) algorithm obtained matching the CDFs performs better than the best possible Z-R relation. Reflectivity (Z sub(H) ) and differential reflectivity (Z sub(D) sub(R) ) measurements collected by Polar 55C over the Arno River basin in Italy are presented. The applicability of dual-polarization (Z sub(D) sub(R) )-based rainfall algorithms at C band in an operational setting is studied in conjunction with a network of rain gauges. Conventional pointwise comparison of radar and rain gauge estimates of rainfall, as well as statistical comparison of dual-polarization radar and rain gauge data via probability matching procedure, are presented. Error structure of reflectivity rainfall Z-R relation, as well as Z sub(D) sub(R) -based algorithms, is evaluated as a function of spatial and temporal averaging. Pointwise comparison, as well as statistical evaluation based on cumulative distribution function (CDF) matching, are used to show that in an operational environment with excessive ground-clutter contamination and attenuation problems the dual-polarization-based rainfall algorithm performs better than any arbitrary Z-R relation. In addition, it is shown that a dual-polarization (Z sub(D) sub(R) ) algorithm obtained matching the CDFs performs better than the best possible Z-R relation. Reflectivity (ZH) and differential reflectivity (ZDR) measurements collected by Polar 55C over the Arno River basin in Italy are presented. The applicability of dual-polarization (ZDR)-based rainfall algorithms at C band in an operational setting is studied in conjunction with a network of rain gauges. Conventional pointwise comparison of radar and rain gauge estimates of rainfall, as well as statistical comparison of dual-polarization radar and rain gauge data via probability matching procedure, are presented. Error structure of reflectivity rainfall Z–R relation, as well as ZDR-based algorithms, is evaluated as a function of spatial and temporal averaging. Pointwise comparison, as well as statistical evaluation based on cumulative distribution function (CDF) matching, are used to show that in an operational environment with excessive ground-clutter contamination and attenuation problems the dual-polarization-based rainfall algorithm performs better than any arbitrary Z–R relation. In addition, it is shown that a dual-polarization (ZDR) algorithm obtained matching the CDFs performs better than the best possible Z–R relation. |
| Author | Scarchilli, G. Chandrasekar, V. Gorgucci, E. |
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| Snippet | Reflectivity (ZH) and differential reflectivity (ZDR) measurements collected by Polar 55C over the Arno River basin in Italy are presented. The applicability... Reflectivity (Z sub(H)) and differential reflectivity (Z sub(DR)) measurements collected by Polar 55C over the Arno River basin in Italy are presented. The... Reflectivity (Z sub(H) ) and differential reflectivity (Z sub(D) sub(R) ) measurements collected by Polar 55C over the Arno River basin in Italy are presented.... |
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| SubjectTerms | Cumulative distribution functions Earth, ocean, space Exact sciences and technology External geophysics Meteorology Radar Radar data Radar echoes Rain Rain gauges Reflectance River basins Standard error Storms Water in the atmosphere (humidity, clouds, evaporation, precipitation) |
| Title | Operational Monitoring of Rainfall over the Arno River Basin Using Dual-Polarized Radar and Rain Gauges |
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