{"id":59,"date":"2019-11-08T10:53:46","date_gmt":"2019-11-08T08:53:46","guid":{"rendered":"http:\/\/www.issibern.ch\/teams\/multigeopartransfer\/?page_id=59"},"modified":"2019-11-08T10:53:46","modified_gmt":"2019-11-08T08:53:46","slug":"news-and-progress","status":"publish","type":"page","link":"https:\/\/www.issibern.ch\/teams\/multigeopartransfer\/news-and-progress\/","title":{"rendered":"News and Progress"},"content":{"rendered":"<p><strong><span style=\"font-size: 14pt\">Conferences<\/span><\/strong><span style=\"font-size: 14pt\">:<\/span><\/p>\n<p><a href=\"https:\/\/www.agu.org\/fall-meeting\">American Geophysical Union 2020<\/a><\/p>\n<ul>\n<li><em>Camporeale, E., McGranaghan, R., et<\/em> al. &#8220;Machine Learning in Space Weather.&#8221; Conference Session. https:\/\/agu.confex.com\/agu\/fm20\/meetingapp.cgi\/Session\/108141<\/li>\n<li><em>McGranaghan, R., et al.<\/em> &#8220;Handling the complexity of the space weather system: Novel approaches through particle precipitation and ion outflow.&#8221;<\/li>\n<li><em>McGranaghan, R., et al.<\/em>, &#8220;Tracing Solar Activity Through the Heliosphere: Lessons from Comparative Solar Minima.&#8221; Conference Session. https:\/\/agu.confex.com\/agu\/fm20\/meetingapp.cgi\/Session\/110212<\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.agu.org\/fall-meeting\">American Geophysical Union 2019<\/a><\/p>\n<ul>\n<li><em>Camporeale, E., McGranaghan, R., et<\/em> al. &#8220;Machine Learning in Space Weather.&#8221; Conference Session. https:\/\/agu.confex.com\/agu\/fm19\/meetingapp.cgi\/Session\/87144<\/li>\n<li><em>McGranaghan, R., et al.<\/em> &#8220;TH45B &#8211; Antidisciplinary: Science and Engineering in the Digital Age.&#8221; Town Hall. https:\/\/agu.confex.com\/agu\/fm19\/meetingapp.cgi\/Session\/76838<\/li>\n<li><em>McGranaghan<\/em>,<em> R.<\/em><em>, et al.<\/em> &#8220;<span class=\"finalNumber\">SM31D-3190<\/span> &#8211; Novel approaches to geospace particle transfer in the digital age: Progress through data science.&#8221; Poster. https:\/\/agu.confex.com\/agu\/fm19\/meetingapp.cgi\/Paper\/513582<\/li>\n<li><em>Taziny, A., and Camporeale, E.<\/em> &#8220;<span class=\"finalNumber\">NG31A-0851<\/span> &#8211; Nowcasting of auroral electron precipitation using an artificial neural network.&#8221; Poster. https:\/\/agu.confex.com\/agu\/fm19\/meetingapp.cgi\/Paper\/512368<\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.egu2019.eu\/\">European Geophysical Union 2019<\/a>: <em>Hatch, S.<\/em><em>, et al.<\/em> &#8220;Southern and Northern Hemisphere relationships between ion outflowand magnetic field fluctuations.&#8221; https:\/\/meetingorganizer.copernicus.org\/EGU2019\/EGU2019-6566.pdf<\/p>\n<p><a href=\"http:\/\/cedarweb.vsp.ucar.edu\/\">Coupling, Energetics, and Dynamics of Atmospheric Regions (CEDAR)<\/a><\/p>\n<ul>\n<li><em>McGranaghan, R.<\/em><em>, et al.<\/em> &#8220;Geospace Data Science.&#8221; Session. http:\/\/cedarweb.vsp.ucar.edu\/wiki\/index.php\/2019_Workshop:Geospace_Data_Science<\/li>\n<li><em>McGranaghan, R., et al.<\/em> &#8220;Ion Upflow and Outflow.&#8221; Session (joint with the Geospace Environment Modeling (GEM) Workshop). https:\/\/docs.google.com\/document\/d\/13tgjUAhRmpw7kK1W08p7ntRbYQhURdlAVB3JSH1MN-I\/edit<\/li>\n<\/ul>\n<p><a href=\"https:\/\/ml-helio.github.io\/\">Machine Learning in Heliophysics Conference<\/a>: <em>McGranaghan, R., et al.<\/em> &#8220;What is the social engineering challenge of data science for Heliophysics and how do we solve it?&#8221; Featured Talk.<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-size: 14pt\"><strong>Publications<\/strong>:<\/span><\/p>\n<p>R. M. McGranaghan, J. Ziegler, T. Bloch, S. Hatch, E. Camporeale, K. Lynch, M. Owens, J. Gjerloev, B. Zhang, and S. Skone, \u201cNext generation particle precipitation: Mesoscale prediction through machine learning (a case study and framework for progress),\u201d <i>arXiv<span style=\"text-decoration: underline\">, <\/span><\/i>https:\/\/arxiv.org\/abs\/2011.10117.<\/p>\n<p>Eos.org feature article: <em>McGranaghan and Camporeale<\/em> [2019] &#8220;<a href=\"https:\/\/eos.org\/opinions\/eight-lessons-i-learned-leading-a-scientific-design-sprint\">Eight Lessons I Learned Leading a Scientific &#8216;Design Sprint.&#8217;<\/a>&#8221;<\/p>\n<p style=\"padding-left: 30px\"><em>Teaser: Applying the fast-paced technique, pioneered by Google to spur rapid innovation, to space science yielded unexpected benefits and may be a model for collaborations across many scientific disciplines.<\/em><\/p>\n<p>&nbsp;<\/p>\n<p><span id=\"js-reference-string-0\" class=\"selectable\">Hatch, S., Moretto Jorgensen, T., Lynch, K., Laundal, K., Gjerloev, J. and Lund, E. (2019). Relationship between cusp-region ion outflows and east-west magnetic field fluctuations in Southern and Northern Hemispheres. <i>Earth and Space Science Open Archive<\/i>.<\/span><\/p>\n<div><span class=\"author\">Hatch, S. M.<\/span>, <span class=\"author\">Moretto, T.<\/span>, <span class=\"author\">Lynch, K. A.<\/span>, <span class=\"author\">Laundal, K. M.<\/span>, <span class=\"author\">Gjerloev, J. W.<\/span>, &amp; <span class=\"author\">Lund, E. J.<\/span> (<span class=\"pubYear\">2020<\/span>). <span class=\"articleTitle\">The relationship between cusp\u2010region ion outflows and east\u2010west magnetic field fluctuations at 4000\u2010km altitude<\/span>. <i>Journal of Geophysical Research: Space Physics<\/i>, <span class=\"vol\">125<\/span>, e2019JA027454. <a class=\"linkBehavior\" href=\"https:\/\/doi.org\/10.1029\/2019JA027454\">https:\/\/doi.org\/10.1029\/2019JA027454<\/a><\/div>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-size: 14pt\"><strong>Significant<\/strong> <strong>Activities<\/strong>:<\/span><\/p>\n<p>Highlighted during Doug Rowland (NASA Goddard Space Flight Center) &#8220;Mechanisms of Energetic Mass Ejection &#8211; eXplorer (MEME-X)&#8221; presentation in April 2019.<\/p>\n<p>&nbsp;<\/p>\n<p>Submitted response to the &#8220;<a href=\"https:\/\/nspires.nasaprs.com\/external\/solicitations\/summary.do?solId=%7b0A82091B-A257-621B-230B-C795243AABBF%7d&amp;path=&amp;method=init\">NASA Frontier Development Laboratory (FDL) Request for Information (RFI)<\/a>&#8221; to create a potential challenge concept for <a href=\"https:\/\/frontierdevelopmentlab.org\/\">NASA&#8217;s FDL<\/a> 2020 program.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Conferences: American Geophysical Union 2020 Camporeale, E., McGranaghan, R., et al. &#8220;Machine Learning in Space Weather.&#8221; Conference Session. https:\/\/agu.confex.com\/agu\/fm20\/meetingapp.cgi\/Session\/108141 McGranaghan, R., et al. &#8220;Handling the complexity of the space weather system: Novel approaches through particle precipitation and ion outflow.&#8221; McGranaghan, &hellip; <a href=\"https:\/\/www.issibern.ch\/teams\/multigeopartransfer\/news-and-progress\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-59","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.issibern.ch\/teams\/multigeopartransfer\/wp-json\/wp\/v2\/pages\/59","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.issibern.ch\/teams\/multigeopartransfer\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.issibern.ch\/teams\/multigeopartransfer\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.issibern.ch\/teams\/multigeopartransfer\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.issibern.ch\/teams\/multigeopartransfer\/wp-json\/wp\/v2\/comments?post=59"}],"version-history":[{"count":0,"href":"https:\/\/www.issibern.ch\/teams\/multigeopartransfer\/wp-json\/wp\/v2\/pages\/59\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.issibern.ch\/teams\/multigeopartransfer\/wp-json\/wp\/v2\/media?parent=59"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}