Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/14747
Title: Concepts and principles of rainfall estimation from radar: Multi sensor environment and data fusion
Authors: Chandrasekar, V
Cifelli, Robert
Keywords: Radar rain estimation;Precipitation estimation;Data fusion;Quantitative precipitation estimation (QPE)
Issue Date: Aug-2012
Publisher: NISCAIR-CSIR, India
PACS No.: 92.60.jf; 84.40.Xb
Abstract: Rainfall estimation has been pursued nearly since the dawn of civilization. It is also one of the most commonly used applications of modern, meteorological radars in most operational systems. Multi sensor approaches have made great strides in addressing the rainfall estimation problem through better sensor calibration and improved integration of observations at scales spanning many orders of magnitude such as radar, satellite and rain gauges. Data fusion techniques have demonstrated advantages in precipitation retrievals, especially for radar observations at attenuated frequencies. Data fusion has also shown benefits in merging data from multiple radars, as well as radars and satellites. This paper describes essential concepts of multi sensor rainfall estimation with a radar focus. Validation concepts for remote estimation of rainfall are also presented. Examples of data fusion and validation are illustrated through rainfall estimate comparisons between gauge and radar networks. 
Page(s): 389-402
URI: http://hdl.handle.net/123456789/14747
ISSN: 0975-105X (Online); 0367-8393 (Print)
Appears in Collections:IJRSP Vol.41(4) [August 2012]

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