Effect of radar beam geometry on radar rainfall estimation
Identifieur interne : 00B209 ( Main/Exploration ); précédent : 00B208; suivant : 00B210Effect of radar beam geometry on radar rainfall estimation
Auteurs : Siriluk Chumchean [Australie] ; Alan Seed [Australie] ; Ashish Sharma [Australie]Source :
- IAHS-AISH publication [ 0144-7815 ] ; 2003.
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- Pascal (Inist)
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- geographic : Australie.
English descriptors
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Abstract
The frequency, accuracy and resolution of hydrological records is a major limitation in the accurate modelling of hydrological events. The weather radar provides real-time spatially continuous measurements covering a large area at short time intervals. However, considerable uncertainty remains in the procedures used to estimate the rainfall from weather radar observations. This uncertainty may be caused by the variability of raindrop size distribution, the variation of reflectivity with height and with range, and the temporal and spatial resolutions adopted for sampling the radar reflectivity. This paper accounts for the effect of the radar beam geometry as a function of distance. The conical shape of the radar beam causes the observed volume to increase with range from the radar, leading to both bias and an increase in the standard error associated with the measured reflectivity as a function of range. To remove the bias caused by the radar beam spreading, a simple-scaling transformation is proposed. The results show that the transformed reflectivity becomes relatively free from range dependent bias, which leads to more accurate relations with the measured ground rainfall than what is obtained otherwise. A 6-month long rainfall-reflectivity record from the Kurnell radar at Sydney, Australia is used to illustrate the efficiency and applicability of the reflectivity scaling transformation, compared to radar rainfall algorithms used conventionally.
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radar</term><term>Modèle hydrologique</term><term>Prévision</term><term>Etalonnage</term><term>Tempête</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Australie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The frequency, accuracy and resolution of hydrological records is a major limitation in the accurate modelling of hydrological events. The weather radar provides real-time spatially continuous measurements covering a large area at short time intervals. However, considerable uncertainty remains in the procedures used to estimate the rainfall from weather radar observations. This uncertainty may be caused by the variability of raindrop size distribution, the variation of reflectivity with height and with range, and the temporal and spatial resolutions adopted for sampling the radar reflectivity. This paper accounts for the effect of the radar beam geometry as a function of distance. The conical shape of the radar beam causes the observed volume to increase with range from the radar, leading to both bias and an increase in the standard error associated with the measured reflectivity as a function of range. To remove the bias caused by the radar beam spreading, a simple-scaling transformation is proposed. The results show that the transformed reflectivity becomes relatively free from range dependent bias, which leads to more accurate relations with the measured ground rainfall than what is obtained otherwise. A 6-month long rainfall-reflectivity record from the Kurnell radar at Sydney, Australia is used to illustrate the efficiency and applicability of the reflectivity scaling transformation, compared to radar rainfall algorithms used conventionally.</div></front></TEI><affiliations><list><country><li>Australie</li></country></list><tree><country name="Australie"><noRegion><name sortKey="Chumchean, Siriluk" sort="Chumchean, Siriluk" uniqKey="Chumchean S" first="Siriluk" last="Chumchean">Siriluk Chumchean</name></noRegion><name sortKey="Seed, Alan" sort="Seed, Alan" uniqKey="Seed A" first="Alan" last="Seed">Alan Seed</name><name sortKey="Sharma, Ashish" sort="Sharma, Ashish" uniqKey="Sharma A" first="Ashish" last="Sharma">Ashish Sharma</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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