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Advanced processing of dual polarization weather radar signal

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dc.contributor.authorHaran, Shweta, author
dc.contributor.authorChandrasekar, V., advisor
dc.contributor.authorChen, Haonan, committee member
dc.contributor.authorSiller, Thomas, committee member
dc.date.accessioned2023-01-21T01:24:02Z
dc.date.available2025-01-09T01:24:02Z
dc.date.issued2022
dc.description.abstractThis research focuses on processing of radar data in spectral domain and analysis of micro-physical properties of hail and rain in severe convective and stratiform storms. This research also discusses the optimization of a parametric time domain method to separate cloud and drizzle data. The microphysical and kinematic properties of hydrometeors present in a precipitation event can be studied using spectral domain processing and analysis of the radar moments. This study along with polarimetric information is called spectral polarimetry. For this study, the observations made by CSU-CHIVO (Colorado State University - C-band Hydrometeorological Instrument for Volumetric Observation) radar during the RELAMPAGO (Remote sensing of Electrification, Lightning, And Mesoscale/Microscale Processes with Adaptive Ground Observations) campaign is utilized. Features such as the slope in differential reflectivity, spectrum width, and spectral copolar correlation are studied which gives a better understanding of the storm microphysics. In this thesis, microphysical properties of different types of hydrometeors such as hail, rain, and large drops are studied using convective and stratiform storm observations. A parametric time-domain method (PTDM) is utilized for the separation of cloud and drizzle data. To reduce the time latency present in processing the data, the processing code is optimized by deploying on a high-performance computer (HPC). The processing code is tested on an HPC and automated to handle errors in processing. The run time is reduced by approximately 50%, hence increasing the data processing efficiency. This study shows that optimization of the run time using an HPC is an efficient method. Data processing using an HPC can be used to deploy similar time-consuming algorithms, hence increasing the efficiency and performance.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierHaran_colostate_0053N_17472.pdf
dc.identifier.urihttps://hdl.handle.net/10217/235939
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2020-
dc.rightsCopyright 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.
dc.rights.accessEmbargo Expires: 01/09/2025
dc.subjecthigh performance computers
dc.subjectradar
dc.subjectweather radar
dc.subjectoptimization
dc.subjectdual pol radar
dc.subjectspectral processing
dc.titleAdvanced processing of dual polarization weather radar signal
dc.typeText
dc.typeImage
dcterms.embargo.expires2025-01-09
dcterms.embargo.terms2025-01-09
dcterms.rights.dplaThis 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).
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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