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oai:mountainscholar.org:10217/1670662025-12-30T03:15:19Zcom_10217_100532com_10217_100000com_10217_100411com_10217_100303col_10217_100538col_10217_100415

Willie, Delbert Darrell, author Chandrasekar, V., advisor Mielke, Paul, committee member Jayasumana, Anura P., committee member Notaros, Branislav, committee member 2015-08-28T14:34:59Z 2017-08-14T06:30:24Z 2015 http://hdl.handle.net/10217/167066 https://doi.org/10.25675/3.018362 Quantitative precipitation estimation (QPE) continues to be one of the principal objectives for weather researchers and forecasters. The ability of radar to measure over broad spatial areas in short temporal successions encourages its application in the pursuit of accurate rainfall estimation, where radar reflectivity-rainfall (Z-R) relations have been traditionally used to derive quantitative precipitation estimation. The purpose of this research is to present the development of a regional dual polarization QPE process known as the RAdar Multi-Sensor QPE (RAMS QPE). This scheme applies the dual polarization radar rain rate estimation algorithms developed at Colorado State University into an adaptable QPE system. The methodologies used to combine individual radar scans, and then merge them into a mosaic are described. The implementation and evaluation is performed over a domain that occurs over a complex terrain environment, such that local radar coverage is compromised by blockage. This area of interest is concentrated around the Pigeon River Basin near Asheville, NC. In this mountainous locale, beam blockage, beam overshooting, orographic enhancement, and the unique climactic conditions complicate the development of reliable QPE's from radar. The QPE precipitation fields evaluated in this analysis will stem from the dual polarization radar data obtained from the local NWS WSR-88DP radars as well as the NASA NPOL research radar. born digital doctoral dissertations English eng Colorado State University. Libraries 2000-2019 Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. QPE X-band rainfall dual polarization Radar multi-sensor (RAMS) quantitative precipitation estimation (QPE) Text 2017-08-14 2017-08-14 This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). Doctor of Philosophy (Ph.D.) Doctoral Electrical and Computer Engineering Colorado State University open.access