Utilization of regression models for rainfall estimates using radar-derived rainfall data and rain gauge data.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F03%3A04033508" target="_blank" >RIV/68378289:_____/03:04033508 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Utilization of regression models for rainfall estimates using radar-derived rainfall data and rain gauge data.

Original language description

Procedure estimating hourly rainfalls by merging radar-derived rainfalls and gauge measurements is developed and tested. It utilises simple linear regression complemented by the normalization and distribution correction. The data from radar Tulsa, Oklahoma, Weather Surveillance Radar-1988 Doppler version and rain gauge data from the radar domain are used. The quality of estimates is evaluated against the independent rain gauges by the root-mean-square-error, bias and correlation coefficient in the dependence on the density of a gauge network. The results indicate that even a sparse gauge network (about 50 gauges, i.e. 4000 km2 per one gauge) is sufficient to improve the radar-derived rainfalls. The improvement increases with the number of gauges.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

DG - Atmospheric sciences, meteorology

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of hydrology

ISSN

0022-1694

e-ISSN

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Volume of the periodical

278

Issue of the periodical within the volume

N/A

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

9

Pages from-to

144-152

UT code for WoS article

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EID of the result in the Scopus database

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