DocumentCode :
3060283
Title :
Evaluation of multisensor quantitative precipitation estimation methodologies
Author :
Willie, Delbert ; Haonan Chen ; Chandrasekar, V. ; Cifelli, Robert ; Campbell, Chris ; Reynolds, Daryl
Author_Institution :
Colorado State Univ., Fort Collins, CO, USA
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2219
Lastpage :
2221
Abstract :
The use of weather sensing radar measurements along with corresponding gauge data in multisensor applications seek to provide reliable estimates of rainfall rate and accumulation versus single radar. Radar rainfall estimators have a number of advantages over gauges including the ability to observe precipitation over wider areas within shorter timeframes and providing advanced warning of impending precipitation events. The radar reflectivity-rainfall (Z-R) relations are traditionally used for quantitative precipitation estimation (QPE).
Keywords :
atmospheric techniques; meteorological instruments; meteorological radar; rain; remote sensing by radar; sensor fusion; gauge data; multisensor applications; multisensor quantitative precipitation estimation methodologies; precipitation events; radar rainfall estimators; radar reflectivity-rainfall relations; rainfall rate; weather sensing radar measurements; Meteorological radar; Meteorology; Reflectivity; Rivers; Sea measurements; US Government agencies; NMQ; QPE; mulitsensor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723257
Filename :
6723257
Link To Document :
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