{"id":1342,"date":"2015-09-08T00:00:00","date_gmt":"2015-09-08T00:00:00","guid":{"rendered":"http:\/\/www.sas.rochester.edu\/ees\/urseismo\/research\/"},"modified":"2020-12-31T21:11:54","modified_gmt":"2020-12-31T21:11:54","slug":"research","status":"publish","type":"page","link":"https:\/\/www.sas.rochester.edu\/ees\/urseismo\/research\/","title":{"rendered":"Research @ URseismo"},"content":{"rendered":"<p>&nbsp;<\/p>\n<h2>Making the invisible Earth visible:<\/h2>\n<p><span style=\"font-weight: 400;\">Our group uses recordings of ground vibrations from seismic sensors across the globe, combined with advances in high-performance computing and machine learning, for high-resolution subsurface Earth-imaging and improved earthquake detection with sparse seismic networks. <\/span><span style=\"font-weight: 400;\">We are addressing important Earth-imaging problems, which require extracting and interpreting data obtained in challenging, data-poor settings, from marine environments and sparse seismic networks on the African continent.\u00a0\u00a0<\/span><\/p>\n<div class=\"tmm tmm_research-urseismo\"><div class=\"tmm_2_columns tmm_wrap tmm_plugin_f\"><span class=\"tmm_two_containers_tablet\"><\/span><div class=\"tmm_container\"><div class=\"tmm_member\" style=\"border-top:#333333 solid 5px;\"><div class=\"tmm_photo tmm_pic_research-urseismo_0\" style=\"background: url(https:\/\/www.sas.rochester.edu\/ees\/urseismo\/wp-content\/uploads\/2012\/08\/shat5.jpg); margin-left: auto; margin-right:auto; background-size:cover !important;\"><\/div><div class=\"tmm_textblock\"><div class=\"tmm_names\"><span class=\"tmm_fname\">Marine Seismology<\/span> <\/div><div class=\"tmm_job\">Submarine Imaging of Ocean Plates<\/div><div class=\"tmm_desc\" style=\"text-align:\"><p style=\"text-align: left\"><span style=\"font-weight: 400\">Our planet is 70% ocean-blue. We explore fundamental and applied problems in the field of marine seismology and geophysics. How sharp is the base of the oceanic plate? Can we develop techniques that will enable \u201c<\/span><i><span style=\"font-weight: 400\">Submarine Seismic Imaging of the Base of the Oceanic Plate, by Silencing the 'Singing' of Sediments?<\/span><\/i><span style=\"font-weight: 400\">\u201d This work will improve the utility of <\/span><span style=\"font-weight: 400\">seismic data obtained from ocean bottom experiments (Ph.D. student: Evan Zhang)<\/span><\/p><\/div><div class=\"tmm_scblock\"><\/div><\/div><\/div><div class=\"tmm_member\" style=\"border-top:#333333 solid 5px;\"><div class=\"tmm_photo tmm_pic_research-urseismo_1\" style=\"background: url(https:\/\/www.sas.rochester.edu\/ees\/urseismo\/wp-content\/uploads\/2020\/12\/Earthscope-1.gif); margin-left: auto; margin-right:auto; background-size:cover !important;\"><\/div><div class=\"tmm_textblock\"><div class=\"tmm_names\"><span class=\"tmm_fname\">EarthScope Collaboration<\/span> <\/div><div class=\"tmm_job\">Lithospheric Discontinuities in the US<\/div><div class=\"tmm_desc\" style=\"text-align:\"><p style=\"text-align: left\"><span style=\"font-weight: 400\">Why is there a global discontinuity internal to the old and cold continental lithosphere?&nbsp; Can we use multiple geophysical observations to test models that explain the presence of these discontinuities in the oceans and continents? <\/span><span style=\"font-weight: 400\">Through a funded NSF grant, our research group is collaborating with leading scientists and using multiple geophysical datasets provided by <i>EarthScope<\/i>&nbsp;to explore this question.&nbsp;<\/span><\/p><\/div><div class=\"tmm_scblock\"><\/div><\/div><\/div><span class=\"tmm_two_containers_tablet\"><\/span><\/div><span class=\"tmm_columns_containers_desktop\"><\/span><div class=\"tmm_container\"><div class=\"tmm_member\" style=\"border-top:#333333 solid 5px;\"><div class=\"tmm_photo tmm_pic_research-urseismo_2\" style=\"background: url(https:\/\/www.sas.rochester.edu\/ees\/urseismo\/wp-content\/uploads\/2020\/12\/RayPathsAfrica_dep587-1.gif); margin-left: auto; margin-right:auto; background-size:cover !important;\"><\/div><div class=\"tmm_textblock\"><div class=\"tmm_names\"><span class=\"tmm_fname\">Geophysics in Africa<\/span> <\/div><div class=\"tmm_job\">Lithospheric Layering in Africa<\/div><div class=\"tmm_desc\" style=\"text-align:\"><p style=\"text-align: left\"><span style=\"font-weight: 400\">The African continent hosts remarkable geologic and tectonic features that make the continent not only full of natural resources but also susceptible to natural hazards. These features include the oldest cratons, the African Superwell in the South, and the divergence with the American plates in the West. Our group is using advances in computational seismology to investigate cratonic layering on the continent with implications for understanding a crucial part of the Earth's history.&nbsp;<\/span><\/p><\/div><div class=\"tmm_scblock\"><\/div><\/div><\/div><div class=\"tmm_member\" style=\"border-top:#333333 solid 5px;\"><div class=\"tmm_photo tmm_pic_research-urseismo_3\" style=\"background: url(https:\/\/www.sas.rochester.edu\/ees\/urseismo\/wp-content\/uploads\/2020\/12\/ezgif-4-640497bb7a1f.gif); margin-left: auto; margin-right:auto; background-size:cover !important;\"><\/div><div class=\"tmm_textblock\"><div class=\"tmm_names\"><span class=\"tmm_fname\">Autoadaptive Earth Imaging<\/span> <\/div><div class=\"tmm_job\">Bayesian Earth Imaging<\/div><div class=\"tmm_desc\" style=\"text-align:\"><p style=\"text-align: left\">The geophysical investigation of the puzzle in the cratonic lithosphere requires new methods of extracting data from noisy datasets, sparse seismic networks, and using different geophysical datasets. members of our group are training machines to learn from data using high-performance computing tools and stochastic methods, e.g., Bayesian statistical techniques to improve the resolution and fine-scale structure of the crust and upper mantle lithosphere.&nbsp;<\/p><\/div><div class=\"tmm_scblock\"><\/div><\/div><\/div><div style=\"clear:both;\"><\/div><\/div><\/div><\/div>\n<blockquote class=\"twitter-tweet\" data-lang=\"en\">\n<p dir=\"ltr\" lang=\"en\">I am DrOh the <a href=\"https:\/\/twitter.com\/hashtag\/EarthDoctor?src=hash&amp;ref_src=twsrc%5Etfw\">#EarthDoctor<\/a>: I unlock the information digitized by ever increasing, globe-encircling sensors that have been listening to our Earth-shaking (excerpts from <a href=\"https:\/\/t.co\/a6UCgTFofu\">https:\/\/t.co\/a6UCgTFofu<\/a>). <a href=\"https:\/\/t.co\/y4539SUobZ\">pic.twitter.com\/y4539SUobZ<\/a><\/p>\n<p>\u2014 Tolulope Olugboji (@tolumorayo) <a href=\"https:\/\/twitter.com\/tolumorayo\/status\/983733493917212672?ref_src=twsrc%5Etfw\">April 10, 2018<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<blockquote class=\"twitter-tweet\" data-lang=\"en\">\n<p dir=\"ltr\" lang=\"en\">Courtesy of <a href=\"https:\/\/twitter.com\/EarthScopeInfo?ref_src=twsrc%5Etfw\">@EarthScopeInfo<\/a> we have an unprecedented view of the interior of the continental USA &#8211; a total of about 2,000 sensor locations across the continental US listening to the Earth vibrate for over a decade (animation credit: Scott Burdick). <a href=\"https:\/\/t.co\/NCmyNIo8b4\">pic.twitter.com\/NCmyNIo8b4<\/a><\/p>\n<p>\u2014 Tolulope Olugboji (@tolumorayo) <a href=\"https:\/\/twitter.com\/tolumorayo\/status\/986258927410085888?ref_src=twsrc%5Etfw\">April 17, 2018<\/a><\/p><\/blockquote>\n<p><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; Making the invisible Earth visible: Our group uses recordings of ground vibrations from seismic sensors across the globe, combined with advances in high-performance computing and machine learning, for high-resolution subsurface Earth-imaging and improved earthquake detection with sparse seismic networks.<\/p>\n","protected":false},"author":62,"featured_media":1058,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-1342","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/www.sas.rochester.edu\/ees\/urseismo\/wp-json\/wp\/v2\/pages\/1342","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sas.rochester.edu\/ees\/urseismo\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.sas.rochester.edu\/ees\/urseismo\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.sas.rochester.edu\/ees\/urseismo\/wp-json\/wp\/v2\/users\/62"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sas.rochester.edu\/ees\/urseismo\/wp-json\/wp\/v2\/comments?post=1342"}],"version-history":[{"count":6,"href":"https:\/\/www.sas.rochester.edu\/ees\/urseismo\/wp-json\/wp\/v2\/pages\/1342\/revisions"}],"predecessor-version":[{"id":5232,"href":"https:\/\/www.sas.rochester.edu\/ees\/urseismo\/wp-json\/wp\/v2\/pages\/1342\/revisions\/5232"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sas.rochester.edu\/ees\/urseismo\/wp-json\/wp\/v2\/media\/1058"}],"wp:attachment":[{"href":"https:\/\/www.sas.rochester.edu\/ees\/urseismo\/wp-json\/wp\/v2\/media?parent=1342"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}