{"id":{"repo_id":"rice","oai_identifier":"oai:repository.rice.edu:1911/17343"},"canonical_url":"https://search.dev.ndltd.org/etd/rice/oai:repository.rice.edu:1911/17343","repository":{"repo_id":"rice","name":"Rice University","base_url":"https://repository.rice.edu/server/oai/request"},"display":{"title":"Spatial scale data requirements using NEXRAD (WSR-88D) for accurate hydrologic prediction in urban watersheds","abstract":"The deployment of the WSR-88D (NEXRAD) radar by the National Weather Service in 1992 has created the possibility for enhancing flood warning systems. Due to the improved spatial resolution of the radar, a better hydrologic prediction is possible on a real-time basis. Rainfall rates can currently be derived from radar data real-time at a resolution of 16 km2, whereas post-processing of the radar data can yield rainfall rates at a resolution a small as 1 km2. This study examined the scale effects of the radar-rainfall input on the hydrologic prediction at two urban watersheds during two recent severe storms and compared the results the hydrologic prediction using rain gages and to the observed hydrograph. Small deviations were observed with the different grid scales, but these differences were considered minor compared to other unknowns in hydrologic modeling. Additionally, lead-times were quantified for both bayous.","abstract_html":"The deployment of the WSR-88D (NEXRAD) radar by the National Weather Service in 1992 has created the possibility for enhancing flood warning systems. Due to the improved spatial resolution of the radar, a better hydrologic prediction is possible on a real-time basis. Rainfall rates can currently be derived from radar data real-time at a resolution of 16 km2, whereas post-processing of the radar data can yield rainfall rates at a resolution a small as 1 km2. This study examined the scale effects of the radar-rainfall input on the hydrologic prediction at two urban watersheds during two recent severe storms and compared the results the hydrologic prediction using rain gages and to the observed hydrograph. Small deviations were observed with the different grid scales, but these differences were considered minor compared to other unknowns in hydrologic modeling. Additionally, lead-times were quantified for both bayous.","abstract_has_math":false,"creators":["Hoblit, Brian Charles"],"institution":"Rice University","degree_name":"Master of Science","degree_level":"Masters","degree_discipline":"Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Bedient, Philip B."],"committee_chairs":[],"committee_members":[],"year":2000,"date_issued":"2000","date_published":"2000","updated_at":"2026-07-24T04:10:36Z","subjects":["Hydrology","Civil engineering"],"languages":["eng"],"rights":["Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1911/17343","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Bedient, Philip B."]},{"key":"dc:creator","label":"Author","values":["Hoblit, Brian Charles"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2009-06-04T08:43:30Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2009-06-04T08:43:30Z"]},{"key":"dc:date.issued","label":"Date","values":["2000"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Rice University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Hydrology","Civil engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1911/17343"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The deployment of the WSR-88D (NEXRAD) radar by the National Weather Service in 1992 has created the possibility for enhancing flood warning systems. Due to the improved spatial resolution of the radar, a better hydrologic prediction is possible on a real-time basis. Rainfall rates can currently be derived from radar data real-time at a resolution of 16 km2, whereas post-processing of the radar data can yield rainfall rates at a resolution a small as 1 km2. This study examined the scale effects of the radar-rainfall input on the hydrologic prediction at two urban watersheds during two recent severe storms and compared the results the hydrologic prediction using rain gages and to the observed hydrograph. Small deviations were observed with the different grid scales, but these differences were considered minor compared to other unknowns in hydrologic modeling. Additionally, lead-times were quantified for both bayous."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Spatial scale data requirements using NEXRAD (WSR-88D) for accurate hydrologic prediction in urban watersheds"]}]}],"canonical_facts":{"dc:contributor.advisor":["Bedient, Philip B."],"dc:creator":["Hoblit, Brian Charles"],"dc:date.accessioned":["2009-06-04T08:43:30Z"],"dc:date.available":["2009-06-04T08:43:30Z"],"dc:date.issued":["2000"],"dc:description.abstract":["The deployment of the WSR-88D (NEXRAD) radar by the National Weather Service in 1992 has created the possibility for enhancing flood warning systems. Due to the improved spatial resolution of the radar, a better hydrologic prediction is possible on a real-time basis. Rainfall rates can currently be derived from radar data real-time at a resolution of 16 km2, whereas post-processing of the radar data can yield rainfall rates at a resolution a small as 1 km2. This study examined the scale effects of the radar-rainfall input on the hydrologic prediction at two urban watersheds during two recent severe storms and compared the results the hydrologic prediction using rain gages and to the observed hydrograph. Small deviations were observed with the different grid scales, but these differences were considered minor compared to other unknowns in hydrologic modeling. Additionally, lead-times were quantified for both bayous."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["https://hdl.handle.net/1911/17343"],"dc:language.iso":["eng"],"dc:rights":["Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder."],"dc:subject":["Hydrology","Civil engineering"],"dc:title":["Spatial scale data requirements using NEXRAD (WSR-88D) for accurate hydrologic prediction in urban watersheds"],"dc:type":["Thesis"],"thesis:degree_discipline":["Engineering"],"thesis:degree_level":["Masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["Rice University"]},"updated_at":"2026-07-24T04:10:36Z"}