{"id":34,"date":"2025-11-13T14:00:23","date_gmt":"2025-11-13T20:00:23","guid":{"rendered":"https:\/\/cimss.ssec.wisc.edu\/probsevere\/?page_id=34"},"modified":"2026-04-23T11:22:10","modified_gmt":"2026-04-23T16:22:10","slug":"lc","status":"publish","type":"page","link":"https:\/\/cimss.ssec.wisc.edu\/probsevere\/lc\/","title":{"rendered":"LightningCast"},"content":{"rendered":"\n<p id=\"intro\">The ProbSevere LightningCast model uses images of visible, near-infrared, and long-wave infrared channels aboard&nbsp;<a href=\"https:\/\/www.goes-r.gov\/spacesegment\/abi.html\" target=\"_blank\" rel=\"noreferrer noopener\">GOES ABI<\/a>&nbsp;to predict the probability of lightning in the next 60 minutes (<a href=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/LightningCast_QuickGuide.pdf\">QuickGuide<\/a>). LightningCast has been used extensively by NWS forecasters since 2021.<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/lc\/map\/\">Real-time data viewer<\/a><\/h3>\n\n\n\n<figure class=\"wp-block-image size-medium image-hover-highlight\"><a href=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/lc_viewer\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"178\" src=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/ltgcast_vewier-300x178.gif\" alt=\"\" class=\"wp-image-139\" srcset=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/ltgcast_vewier-300x178.gif 300w, https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/ltgcast_vewier-1024x607.gif 1024w, https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/ltgcast_vewier-768x455.gif 768w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<h3 class=\"wp-block-heading\">Quick links<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Lightning Dashboards:\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/lc\/dashboard\/\">Super dashboard (multi-location)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/go.wisc.edu\/qq413t\" target=\"_blank\" rel=\"noreferrer noopener\">Airports and Airfields<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/go.wisc.edu\/znc5j0\" target=\"_blank\" rel=\"noreferrer noopener\">Stadiums and DSS events<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/go.wisc.edu\/5mhz45\" target=\"_blank\" rel=\"noreferrer noopener\">Wildland Fire Incidents<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"https:\/\/go.wisc.edu\/x16m56\" target=\"_blank\" rel=\"noreferrer noopener\">On-demand dashboard request form<\/a>&nbsp;(NOAA only)<\/li>\n\n\n\n<li><a href=\"https:\/\/cimss.ssec.wisc.edu\/csppgeo\/lightningcast.html\" target=\"_blank\" rel=\"noreferrer noopener\">CSPP-Geo LightningCast software package<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Training<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/goesrhwt.blogspot.com\/search\/label\/LightningCast\">GOES-R Hazardous Weather Testbed Blog posts<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/cimss.ssec.wisc.edu\/satellite-blog\/?s=LightningCast\">CIMSS Satellite Blog posts<\/a><\/li>\n<\/ul>\n\n\n\n<p id=\"dashboard_video\"><strong>&#8220;Super dashboard&#8221; training<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-video\"><video height=\"1088\" style=\"aspect-ratio: 1920 \/ 1088;\" width=\"1920\" controls src=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2026\/04\/super_dashboard_training_1080.mov\"><\/video><\/figure>\n\n\n\n<p><strong>LightningCast Hazardous Weather Testbed training<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-video\"><video height=\"1080\" style=\"aspect-ratio: 1728 \/ 1080;\" width=\"1728\" controls src=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/LightningCast2025_HWT.mp4\" playsinline><\/video><\/figure>\n\n\n\n<p><a target=\"_blank\" href=\"https:\/\/cimss.ssec.wisc.edu\/severe_conv\/training\/LightningCast_Training_2025.pptx\" rel=\"noreferrer noopener\">Download training slides<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"GR-LC\">GRLevelX placefiles (v2.60+ required)<\/h3>\n\n\n\n<p>These placefiles are all parallax-corrected with a constant cloud-height assumption of 9 km.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/cimss.ssec.wisc.edu\/severe_conv\/NOAACIMSS_PLTG_GOES-East_CONUS_LOOP\" target=\"_blank\" rel=\"noreferrer noopener\">GOES-East CONUS sector<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/cimss.ssec.wisc.edu\/severe_conv\/NOAACIMSS_PLTG_GOES-East_Meso1_LOOP\" target=\"_blank\" rel=\"noreferrer noopener\">GOES-East Meso1 sector<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/cimss.ssec.wisc.edu\/severe_conv\/NOAACIMSS_PLTG_GOES-East_Meso2_LOOP\" target=\"_blank\" rel=\"noreferrer noopener\">GOES-East Meso2 sector<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/cimss.ssec.wisc.edu\/severe_conv\/NOAACIMSS_PLTG_GOES-West_CONUS_LOOP\" target=\"_blank\" rel=\"noreferrer noopener\">GOES-West CONUS sector<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/cimss.ssec.wisc.edu\/severe_conv\/NOAACIMSS_PLTG_GOES-West_Meso1_LOOP\" target=\"_blank\" rel=\"noreferrer noopener\">GOES-West Meso1 sector<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/cimss.ssec.wisc.edu\/severe_conv\/NOAACIMSS_PLTG_GOES-West_Meso2_LOOP\" target=\"_blank\" rel=\"noreferrer noopener\">GOES-West Meso2 sector<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Publications and presentations<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The Impact of Radar Reflectivity Data in a Satellite-based Lightning Nowcasting Model, <em>WAF<\/em> (2025)<\/li>\n\n\n\n<li><a href=\"https:\/\/docs.google.com\/presentation\/d\/1AfeSy3nB2-T-C44J2GAnjuebCZlPfUsKudMFqi9hgsg\/edit#slide=id.g2313cd80d98_0_0\" target=\"_blank\" rel=\"noreferrer noopener\">NOAA\u2019s ProbSevere LightningCast: Progress and Updates toward Transition-to-Operations (AMS Annual Meeting 2024)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/docs.google.com\/presentation\/d\/1vCqnzbrvyHfI3GyKyYu9qiaq3gvLPSBQxO-I5IefKmg\/edit#slide=id.p4\" target=\"_blank\" rel=\"noreferrer noopener\">Applying ProbSevere LightningCast (invited, NWS SOO meeting 2023)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/docs.google.com\/presentation\/d\/1C69AeIXGyh1xT6T4r42wYv2cqqAY5khCsSQBEf4AeLM\/edit?usp=sharing\" target=\"_blank\" rel=\"noreferrer noopener\">ProbSevere LightningCast for decision-support services (AMS Annual Meeting 2023)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/docs.google.com\/presentation\/d\/1VkmBgpSbbkXB5oh1PiH5yZLpX0_m8-sk9yDu8ZVa_d0\/edit?usp=sharing\" target=\"_blank\" rel=\"noreferrer noopener\">NOAA\u2019s ProbSevere LightningCast: Artificial intelligence for nowcasting lightning from geostationary satellites (EUMETSAT 2022)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/doi.org\/10.1175\/WAF-D-22-0019.1\" target=\"_blank\" rel=\"noreferrer noopener\">ProbSevere LightningCast: A Deep-Learning Model for Satellite-based Lightning Nowcasting,<em>&nbsp;WAF<\/em>&nbsp;(2022)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/cimss.ssec.wisc.edu\/severe_conv\/training\/SBC_Sept23_2021_ProbSevere_LightningCast.pptx\" target=\"_blank\" rel=\"noreferrer noopener\">NESDIS Satellite Book Club (2021)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/cimss.ssec.wisc.edu\/severe_conv\/training\/ScienceCircle_2021.pptx\" target=\"_blank\" rel=\"noreferrer noopener\">NWS Southern Region Science Circle (2021)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/event-app2.eventpower.com\/event_app\/display\/index\/21AMS\" target=\"_blank\" rel=\"noreferrer noopener\">Using GOES ABI and Deep Learning to Nowcast Lightning (Monday Jan 11; Joint 2.5), AMS Annual Meeting (2021)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.star.nesdis.noaa.gov\/star\/documents\/meetings\/2020AI\/presentations\/202009\/20200929_Cintineo.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Lightning Prediction in the Atlantic offshore region, NOAA AI Workshop (2020)<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Notebooks<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/colab.research.google.com\/drive\/1PKTltCfGqE_UjeRRfA1k0vxztiYPfpsg?usp=sharing\" target=\"_blank\" rel=\"noreferrer noopener\">Using machine learning to train a lightning nowcasting model<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Verification<\/h3>\n\n\n\n<p>These verification metrics, for LCv1 (ABI-only predictors) were computed from the GOES-16 CONUS sector, every 10 minutes, for approximately all of 2023.<\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-2 is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-medium\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"295\" data-id=\"48\" src=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/perfdiagram_index0-300x295.png\" alt=\"\" class=\"wp-image-48\" srcset=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/perfdiagram_index0-300x295.png 300w, https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/perfdiagram_index0.png 708w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"856\" height=\"1024\" data-id=\"47\" src=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/month_reliability_index0-856x1024.png\" alt=\"\" class=\"wp-image-47\" srcset=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/month_reliability_index0-856x1024.png 856w, https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/month_reliability_index0-251x300.png 251w, https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/month_reliability_index0-768x918.png 768w, https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/month_reliability_index0.png 1231w\" sizes=\"auto, (max-width: 856px) 100vw, 856px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"832\" height=\"1024\" data-id=\"46\" src=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/month_performance_index0-832x1024.png\" alt=\"\" class=\"wp-image-46\" srcset=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/month_performance_index0-832x1024.png 832w, https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/month_performance_index0-244x300.png 244w, https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/month_performance_index0-768x946.png 768w, https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/month_performance_index0.png 1180w\" sizes=\"auto, (max-width: 832px) 100vw, 832px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-medium\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"288\" data-id=\"45\" src=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/attributes_diagram_index0-300x288.png\" alt=\"\" class=\"wp-image-45\" srcset=\"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/attributes_diagram_index0-300x288.png 300w, https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-content\/uploads\/sites\/29\/2025\/11\/attributes_diagram_index0.png 555w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n<\/figure>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The ProbSevere LightningCast model uses images of visible, near-infrared, and long-wave infrared channels aboard&nbsp;GOES ABI&nbsp;to predict the probability of lightning in the next 60 minutes (QuickGuide). LightningCast has been used extensively by NWS forecasters since 2021. Real-time data viewer Quick links Training &#8220;Super dashboard&#8221; training LightningCast Hazardous Weather Testbed training Download training slides GRLevelX placefiles [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-34","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-json\/wp\/v2\/pages\/34","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-json\/wp\/v2\/comments?post=34"}],"version-history":[{"count":30,"href":"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-json\/wp\/v2\/pages\/34\/revisions"}],"predecessor-version":[{"id":309,"href":"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-json\/wp\/v2\/pages\/34\/revisions\/309"}],"wp:attachment":[{"href":"https:\/\/cimss.ssec.wisc.edu\/probsevere\/wp-json\/wp\/v2\/media?parent=34"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}