{"id":2609,"date":"2015-08-12T12:57:27","date_gmt":"2015-08-12T17:57:27","guid":{"rendered":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/?p=2609"},"modified":"2016-05-05T10:24:58","modified_gmt":"2016-05-05T15:24:58","slug":"significant-paper-the-impact-of-range-oversampling-processing-on-tornado-velocity-signatures-obtained-from-wsr-88d-super-resolution-data","status":"publish","type":"post","link":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/2015\/08\/significant-paper-the-impact-of-range-oversampling-processing-on-tornado-velocity-signatures-obtained-from-wsr-88d-super-resolution-data\/","title":{"rendered":"Significant Paper: The Impact of Range Oversampling Processing on Tornado Velocity Signatures Obtained from WSR-88D Super-Resolution Data."},"content":{"rendered":"<p style=\"text-align: center;\"><a href=\"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-content\/uploads\/sites\/21\/2015\/08\/torres-paper-e1439402136485.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-2610 size-medium\" src=\"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-content\/uploads\/sites\/21\/2015\/08\/torres-paper-e1439402136485-400x286.png\" alt=\"torres-paper\" width=\"300\" height=\"215\" srcset=\"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-content\/uploads\/sites\/21\/2015\/08\/torres-paper-e1439402136485-400x286.png 400w, https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-content\/uploads\/sites\/21\/2015\/08\/torres-paper-e1439402136485-768x549.png 768w, https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-content\/uploads\/sites\/21\/2015\/08\/torres-paper-e1439402136485-800x572.png 800w, https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-content\/uploads\/sites\/21\/2015\/08\/torres-paper-e1439402136485-200x143.png 200w, https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-content\/uploads\/sites\/21\/2015\/08\/torres-paper-e1439402136485.png 890w\" sizes=\"auto, (max-width: 767px) 100vw, (max-width: 1200px) 60vw, 720px\" \/><\/a><\/p>\n<p><strong>The Impact of Range Oversampling Processing on Tornado Velocity Signatures Obtained from WSR-88D Super-Resolution Data.\u00a0<\/strong><\/p>\n<p><strong>Authors:\u00a0<\/strong>Torrres, S.M. and Curtis, C.D.<\/p>\n<p>Journal:\u00a0<strong>Journal of Atmospheric and Oceanic Technology<\/strong><\/p>\n<p>Publication Date:\u00a0<strong>Online 7\/28\/15<\/strong><\/p>\n<p><strong>\u00a0<\/strong><strong>Important Conclusions:<\/strong><\/p>\n<p>Researchers applied\u00a0\u201crange oversampling,\u201d a technique that cuts radar update times in half while increasing the accuracy of the data, to\u00a0WSR-88D super-resolution data. WSR-88D super-resolution data allows for improved detection of weaker and more distant tornadoes by providing an enhancement of the tornadic vortex signature. \u00a0In this work, researchers used simulations to determine that the benefits of range-oversampling processing outweigh the relatively small degradation to the range resolution. It was shown that this process can contribute to the tornado warning decision process by improving forecaster confidence in the radar data.<\/p>\n<p><strong>Significance:\u00a0<\/strong><\/p>\n<p>The paper quantifies the impact of range oversampling on super-resolution data. This is important in the context of research-to-operations since range oversampling is scheduled for future operational implementation on the WSR-88D.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Impact of Range Oversampling Processing on Tornado Velocity Signatures Obtained from WSR-88D Super-Resolution Data.\u00a0 Authors:\u00a0Torrres, S.M. and Curtis, C.D. Journal:\u00a0Journal of Atmospheric and Oceanic Technology Publication Date:\u00a0Online 7\/28\/15 \u00a0Important Conclusions: Researchers applied\u00a0\u201crange oversampling,\u201d a\u2026<\/p>\n","protected":false},"author":65,"featured_media":2610,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","ghostkit_customizer_options":"","ghostkit_custom_css":"","ghostkit_custom_js_head":"","ghostkit_custom_js_foot":"","ghostkit_typography":"","footnotes":""},"categories":[12],"tags":[63,182,336,400,488,540],"class_list":["post-2609","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research-news","tag-cimms","tag-hot-items","tag-nssl","tag-radar","tag-tvs","tag-wsr-88d"],"acf":[],"wps_subtitle":"","_links":{"self":[{"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/posts\/2609","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/users\/65"}],"replies":[{"embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/comments?post=2609"}],"version-history":[{"count":1,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/posts\/2609\/revisions"}],"predecessor-version":[{"id":3669,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/posts\/2609\/revisions\/3669"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/media\/2610"}],"wp:attachment":[{"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/media?parent=2609"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/categories?post=2609"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/inside.nssl.noaa.gov\/nsslnews\/wp-json\/wp\/v2\/tags?post=2609"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}