Flood estimation using radar and raingauge data

Autor:	Xudong Sun, Russell G Mein, J F Elliott, Thomas D. Keenan
Rok vydání:	2000
Předmět:	Estimation Meteorology Rain gauge Flood myth Hydrograph Rainfall estimation law.invention law Kriging Environmental science Radar Surface runoff Water Science and Technology Remote sensing
Zdroj:	Journal of Hydrology. 239:4-18
ISSN:	0022-1694
DOI:	10.1016/s0022-1694(00)00350-4
Popis:	Flood hydrographs for the Finniss River catchment in Darwin, Australia, were calculated using different approaches to estimate the input rainfalls from the available radar and raingauge data. The rainfall estimation methods were: (1) using raingauge data alone; (2) using kriging of the raingauge data; (3) using radar data alone and (4) using cokriging of both radar and raingauge data. Both probability matching and power law methods were used to estimate rainfall from measured radar reflectivities. The results showed that rainfall estimated by cokriging considerably improved flood estimates, because it optimally combines both the raingauge and radar data to improve the estimate of subcatchment rainfall.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::056f9ca89ae070fc7bbd2f44c68e9db5 https://doi.org/10.1016/s0022-1694(00)00350-4 Zobrazit plný text záznamu Full Text from ScienceDirect