{"id":{"repo_id":"creighton","oai_identifier":"oai:cdr.creighton.edu:10504/65293"},"canonical_url":"https://search.dev.ndltd.org/etd/creighton/oai:cdr.creighton.edu:10504/65293","repository":{"repo_id":"creighton","name":"Creighton University","base_url":"https://cdr.creighton.edu/server/oai/request"},"display":{"title":"Operational Use of Specific Differential Phase Shift in Dual Polarization Radars","abstract":"Specific differential phase shift is one of three new base products that have become available to operational weather forecasters since the WSR-88D upgrades were completed in May 2013. Though most often used as a component in quantitative precipitation estimates, this research focused on determining if KDP is strong enough of a stand-alone product for meteorologists to use in weather warning decision-making. Radar and observation data from 17 convective storms and 8 locations during two land-falling tropical storms were studied. It was shown for convective storms that the single greatest KDP pixel value for each radar scan during the studied storms had a stronger relationship to observed rainfall rate than the highest base reflectivity pixel. It was also shown that current methods of precipitation estimate routinely overestimate rainfall amounts, while a new method that utilizes a Z-R relationship that uses only the base reflectivity values associated with the maximum KDP value provides a rainfall amount closer to in situ observations. These results lead to the conclusion that, using the methods utilized in this research, KDP is indeed strong enough to be used as a stand-alone product for forecasters.","abstract_html":"Specific differential phase shift is one of three new base products that have become available to operational weather forecasters since the WSR-88D upgrades were completed in May 2013. Though most often used as a component in quantitative precipitation estimates, this research focused on determining if KDP is strong enough of a stand-alone product for meteorologists to use in weather warning decision-making. Radar and observation data from 17 convective storms and 8 locations during two land-falling tropical storms were studied. It was shown for convective storms that the single greatest KDP pixel value for each radar scan during the studied storms had a stronger relationship to observed rainfall rate than the highest base reflectivity pixel. It was also shown that current methods of precipitation estimate routinely overestimate rainfall amounts, while a new method that utilizes a Z-R relationship that uses only the base reflectivity values associated with the maximum KDP value provides a rainfall amount closer to in situ observations. These results lead to the conclusion that, using the methods utilized in this research, KDP is indeed strong enough to be used as a stand-alone product for forecasters.","abstract_has_math":false,"creators":["Wright, Kyle"],"institution":"Creighton University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Wagner, Timothy J."],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-12-05","date_published":"2014-12-05","updated_at":"2026-07-24T01:51:30Z","subjects":[],"languages":["en_US"],"rights":["Copyright is retained by the Author. A non-exclusive distribution right is granted to Creighton University and to ProQuest following the publishing model selected above."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10504/65293","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Wagner, Timothy J."]},{"key":"dc:creator","label":"Author","values":["Wright, Kyle"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-12-12T21:20:25Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-12-12T21:20:25Z"]},{"key":"dc:date.issued","label":"Date","values":["2014-12-05"]},{"key":"dc:publisher","label":"Institution","values":["Creighton University"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright is retained by the Author. A non-exclusive distribution right is granted to Creighton University and to ProQuest following the publishing model selected above."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10504/65293"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Specific differential phase shift is one of three new base products that have become available to operational weather forecasters since the WSR-88D upgrades were completed in May 2013. Though most often used as a component in quantitative precipitation estimates, this research focused on determining if KDP is strong enough of a stand-alone product for meteorologists to use in weather warning decision-making. Radar and observation data from 17 convective storms and 8 locations during two land-falling tropical storms were studied. It was shown for convective storms that the single greatest KDP pixel value for each radar scan during the studied storms had a stronger relationship to observed rainfall rate than the highest base reflectivity pixel. It was also shown that current methods of precipitation estimate routinely overestimate rainfall amounts, while a new method that utilizes a Z-R relationship that uses only the base reflectivity values associated with the maximum KDP value provides a rainfall amount closer to in situ observations. These results lead to the conclusion that, using the methods utilized in this research, KDP is indeed strong enough to be used as a stand-alone product for forecasters."]},{"key":"dc:title","label":"Title","values":["Operational Use of Specific Differential Phase Shift in Dual Polarization Radars"]}]}],"canonical_facts":{"dc:contributor.advisor":["Wagner, Timothy J."],"dc:creator":["Wright, Kyle"],"dc:date.accessioned":["2014-12-12T21:20:25Z"],"dc:date.available":["2014-12-12T21:20:25Z"],"dc:date.issued":["2014-12-05"],"dc:description.abstract":["Specific differential phase shift is one of three new base products that have become available to operational weather forecasters since the WSR-88D upgrades were completed in May 2013. Though most often used as a component in quantitative precipitation estimates, this research focused on determining if KDP is strong enough of a stand-alone product for meteorologists to use in weather warning decision-making. Radar and observation data from 17 convective storms and 8 locations during two land-falling tropical storms were studied. It was shown for convective storms that the single greatest KDP pixel value for each radar scan during the studied storms had a stronger relationship to observed rainfall rate than the highest base reflectivity pixel. It was also shown that current methods of precipitation estimate routinely overestimate rainfall amounts, while a new method that utilizes a Z-R relationship that uses only the base reflectivity values associated with the maximum KDP value provides a rainfall amount closer to in situ observations. These results lead to the conclusion that, using the methods utilized in this research, KDP is indeed strong enough to be used as a stand-alone product for forecasters."],"dc:identifier.uri":["http://hdl.handle.net/10504/65293"],"dc:language.iso":["en_US"],"dc:publisher":["Creighton University"],"dc:rights":["Copyright is retained by the Author. A non-exclusive distribution right is granted to Creighton University and to ProQuest following the publishing model selected above."],"dc:title":["Operational Use of Specific Differential Phase Shift in Dual Polarization Radars"],"dc:type":["Thesis"]},"updated_at":"2026-07-24T01:51:30Z"}