{"id":10877,"date":"2018-05-21T15:40:40","date_gmt":"2018-05-21T15:40:40","guid":{"rendered":"http:\/\/www.ssec.wisc.edu\/news\/?p=10877"},"modified":"2022-06-14T16:17:47","modified_gmt":"2022-06-14T16:17:47","slug":"satellite-sandwich","status":"publish","type":"post","link":"https:\/\/www.ssec.wisc.edu\/news\/articles\/10877","title":{"rendered":"Satellite Sandwich"},"content":{"rendered":"<p>In the quest to improve severe weather forecasts, researchers look to innovative tools to learn about evolving atmospheric conditions. One of those tools, known as the \u201csandwich\u2019 satellite product, combines different types of satellite imagery to provide meteorologists new angles to watch storms as they form and intensify.<\/p>\n<p>Recently, scientists at the Space Science and Engineering Center (SSEC) and the Cooperative Institute for Meteorological Satellite Studies (CIMSS) released a GOES-16 sandwich satellite product accessible via SSEC\u2019s visualization and data analysis software package <a href=\"http:\/\/www.ssec.wisc.edu\/mcidas\/software\/v\/\">McIDAS-V<\/a>, as well as the <a href=\"http:\/\/www.ssec.wisc.edu\/data\/geo\/#\/animation?satellite=goes-16-sandwich\">Geostationary Satellite Image Browser.<\/a><\/p>\n<p>The <a href=\"http:\/\/www.ssec.wisc.edu\/data\/geo\/#\/animation?satellite=goes-16-sandwich&amp;end_datetime=latest&amp;n_images=1&amp;coverage=meso1&amp;channel=sandwich&amp;image_quality=gif&amp;anim_method=javascript\">sandwich<\/a> is a composite image created by stacking visible light (0.64\u00b5m) and infrared (10.3 \u00b5m) channels. The resulting multi-dimensional image gives meteorologists and researchers an efficient way to study severe weather in near real-time with an added texture from the sandwich-like layers.<\/p>\n<div class=\"embed-responsive embed-responsive-16by9\"><div class=\"iframe-container\"><iframe loading=\"lazy\" class=\"embed-responsive-item\"  title=\"Derecho July 19, 2017\" width=\"467\" height=\"350\" src=\"https:\/\/www.youtube.com\/embed\/CWr177AQQLk?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/div>\n<p>Combining imagery from the GOES-16 weather satellite, the sandwich animation shows the development and progression of a derecho that blazed its way across the Midwest July 19, 2017. Credit: SSEC\/CIMSS\u201cThe combination of the two channels gives more context to a storm as it\u2019s developing,\u201d says Joleen Feltz, CIMSS research scientist who led the development efforts. \u201cThe mix of temperature and visible data together can help identify key formations in a storm.\u201d<\/p>\n<p>The sandwich method was pioneered by research scientist <a href=\"https:\/\/www.ecmwf.int\/sites\/default\/files\/elibrary\/2017\/17282-satellite-monitoring-convective-storms-forecasters-point-view.pdf\">Martin Setv\u00e1k<\/a> from the Czech Hydrometeorological Institute using data from European Space Agency satellites. Setv\u00e1k, a skilled photographer, recognized the diagnostic power of combining different visible light and infrared channels. During a science visit to SSEC, Setv\u00e1k instructed CIMSS scientists and McIDAS-V programmers in the method of creating sandwich imagery using digital processing software.<\/p>\n<p>Building on Setvak\u2019s foundational work, Feltz saw an opportunity to build on it by using the new GOES-16 multi-spectral Advanced Baseline Imager: she was able to take advantage of the ABI\u2019s rapid scans to create fluid animations. With 30-second mesoscale data as well as one-minute imagery, the CIMSS sandwich satellite product automatically combines the infrared and visible light channels for retrieval in the McIDAS-V system.<\/p>\n<p>As with any visible light channel, its effectiveness is limited to daylight hours. In order to provide a 24-hour product, Feltz incorporated a transition algorithm to smoothly navigate the change from a combined daytime visible\/IR channel to a nighttime only IR channel. The transition provides continuity for monitoring evening storms into the night, a <a href=\"https:\/\/www.nssl.noaa.gov\/education\/svrwx101\/thunderstorms\/\">common time for hazardous weather<\/a>, especially during spring and summer months.<\/p>\n<div class=\"embed-responsive embed-responsive-16by9\"><div class=\"iframe-container\"><iframe loading=\"lazy\" class=\"embed-responsive-item\"  title=\"2018 May02 03 meso1\" width=\"467\" height=\"350\" src=\"https:\/\/www.youtube.com\/embed\/5MAqYg5bPjQ?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/div><\/div>\n<p>Using mesoscale imagery from GOES-16, the sandwich product reveals useful details about storm development. Additionally, a day to night transition provides continuity with infrared data, even when the sun sets. Credit: SSEC\/CIMSSFor researchers like Kris Bedka with the NASA Langley Research Center, who studies hazardous convective storms, the sandwich product is a useful mechanism for monitoring storm developments.<\/p>\n<p>\u201cThe beauty of the sandwich product is the visible light offers extremely high spatial resolution,\u201d he says. \u201cWith the infrared you can learn a lot about dynamics and whether the clouds are made of either ice or water.\u201d<\/p>\n<p>According to Bedka, before the launch of the GOES-16 satellite, these types of visualizations were less practical given the limited spatial resolution of previous GOES satellites.<\/p>\n<p>Now that the product is supported within McIDAS-V, Feltz encourages other researchers to use the imagery in combination with other meteorological products and leverage the diagnostic tools of McIDAS-V.<\/p>\n<p>\u201cWe hope it will aid researchers and meteorologists to better understand severe storms and improve forecasting,\u201d she says.<\/p>\n<p><i>by Eric Verbeten<\/i><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In-depth look at storm formation<\/p>\n","protected":false},"author":17,"featured_media":10885,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[13],"tags":[14],"class_list":["post-10877","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-featured-stories","tag-cimss"],"acf":{"short_title":"Satellite Sandwich","ssec_home_page_carousel_image":"https:\/\/www.ssec.wisc.edu\/news\/wp-content\/uploads\/sites\/19\/2018\/05\/Feature_image_sandwich.png","guest_author":[{"first_name":"","last_name":"","link":""}],"include_for_media_link":"no","sub_title":""},"_links":{"self":[{"href":"https:\/\/www.ssec.wisc.edu\/news\/wp-json\/wp\/v2\/posts\/10877","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ssec.wisc.edu\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ssec.wisc.edu\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ssec.wisc.edu\/news\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ssec.wisc.edu\/news\/wp-json\/wp\/v2\/comments?post=10877"}],"version-history":[{"count":13,"href":"https:\/\/www.ssec.wisc.edu\/news\/wp-json\/wp\/v2\/posts\/10877\/revisions"}],"predecessor-version":[{"id":14558,"href":"https:\/\/www.ssec.wisc.edu\/news\/wp-json\/wp\/v2\/posts\/10877\/revisions\/14558"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ssec.wisc.edu\/news\/wp-json\/wp\/v2\/media\/10885"}],"wp:attachment":[{"href":"https:\/\/www.ssec.wisc.edu\/news\/wp-json\/wp\/v2\/media?parent=10877"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ssec.wisc.edu\/news\/wp-json\/wp\/v2\/categories?post=10877"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ssec.wisc.edu\/news\/wp-json\/wp\/v2\/tags?post=10877"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}