{"id":747,"date":"2023-08-09T00:07:00","date_gmt":"2023-08-09T00:07:00","guid":{"rendered":"https:\/\/arcticwatch.info\/?p=747"},"modified":"2023-07-25T20:11:36","modified_gmt":"2023-07-25T20:11:36","slug":"ncsa-joins-new-phase-of-climate-project-to-track-arctic-permafrost-thaw","status":"publish","type":"post","link":"https:\/\/arcticwatch.info\/index.php\/2023\/08\/09\/ncsa-joins-new-phase-of-climate-project-to-track-arctic-permafrost-thaw\/","title":{"rendered":"NCSA Joins New Phase of Climate Project to Track Arctic Permafrost Thaw"},"content":{"rendered":"\n<p>The&nbsp;<a href=\"https:\/\/www.ncsa.illinois.edu\/\">National Center for Supercomputing Applications<\/a>&nbsp;will be part of a new project led by the Woodwell Climate Research Center to utilize artificial intelligence (AI) and machine learning (ML) in tracking Arctic permafrost thaw.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignright\"><a href=\"https:\/\/www.hpcwire.com\/wp-content\/uploads\/2023\/07\/Delta.jpg\"><img decoding=\"async\" src=\"https:\/\/www.hpcwire.com\/wp-content\/uploads\/2023\/07\/Delta-300x200.jpg\" alt=\"\" class=\"wp-image-163146\"\/><\/a><\/figure><\/div>\n\n\n<p>Funded by a $5 million grant from&nbsp;<a href=\"https:\/\/www.google.org\/\">Google.org<\/a>, the project, with further&nbsp;<a href=\"https:\/\/blog.google\/outreach-initiatives\/google-org\/googleorg-fellowship\/\">Google.org fellowship<\/a>&nbsp;support, will develop and expand a new, open-access resource that will use satellite data and AI technology to make it possible to track Arctic permafrost thaw in near real-time for the first time ever. This potentially game-changing resource for climate science will utilize advances in AI\/ML technology to streamline the data analysis process and make it easier to rapidly identify patterns and trends in permafrost thaw datasets that will be essential to informing climate mitigation and adaptation strategies.<\/p>\n\n\n\n<p>NCSA joins six institutions from across the United States \u2013 and one in Germany \u2013 to partner in the three-year project.<\/p>\n\n\n\n<p>\u201cWe are excited to be working with Google.org to improve and extend the tools and data pipelines initially developed for the Permafrost Discovery Gateway to new use cases,\u201d commented NCSA Lead Research Software Engineer Luigi Marini. \u201cClosing the time gap between remote sensing data products becoming available and permafrost data products being published, such as the pan-Arctic sub-meter scale ice-wedge polygon dataset developed by Chandi Witharana and team, will hopefully help scientists and stakeholders better understand permafrost thawing at the pan-Arctic scale. We also hope to generalize some of the technologies and tools being developed so that more scientists can leverage this work to develop new permafrost-related data pipelines.\u201d<\/p>\n\n\n\n<p>\u201cIt is great when we can connect researchers and teams, such as NCSA\u2019s scientific applications team so that partnerships can develop to further scientific discovery,\u201d said NCSA Associate Director for Research Consulting Laura Herriott. Herriott is also on the leadership team of Delta, co-PI on the new&nbsp;<a href=\"https:\/\/www.hpcwire.com\/off-the-wire\/ncsa-awarded-10m-nsf-grant-to-spearhead-next-gen-ai-research-with-deltaai\/\">DeltaAI system<\/a>, and co-PI for the Advanced Cyberinfrastructure Coordination Ecosystem: Services &amp; Support (<a href=\"https:\/\/access-ci.org\/\">ACCESS<\/a>) program, which the Woodwell effort had been using extensively to date.<\/p>\n\n\n\n<p>Read more on this project in the&nbsp;<a href=\"https:\/\/www.woodwellclimate.org\/woodwell-climate-awarded-5m-google-org-grant-for-use-of-ai-to-track-permafrost-thaw\/\">original release from the Woodwell Climate Research Center<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The&nbsp;National Center for Supercomputing Applications&nbsp;will be part of a new project led by the Woodwell Climate Research Center to utilize artificial intelligence (AI) and machine learning (ML) in tracking Arctic permafrost thaw. Funded by a $5 million grant from&nbsp;Google.org, the&#8230;<\/p>\n","protected":false},"author":2,"featured_media":748,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":[],"rop_publish_now_history":[],"rop_publish_now_status":"pending","_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[5],"tags":[],"class_list":["post-747","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-climate"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/arcticwatch.info\/index.php\/wp-json\/wp\/v2\/posts\/747","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/arcticwatch.info\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/arcticwatch.info\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/arcticwatch.info\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/arcticwatch.info\/index.php\/wp-json\/wp\/v2\/comments?post=747"}],"version-history":[{"count":1,"href":"https:\/\/arcticwatch.info\/index.php\/wp-json\/wp\/v2\/posts\/747\/revisions"}],"predecessor-version":[{"id":749,"href":"https:\/\/arcticwatch.info\/index.php\/wp-json\/wp\/v2\/posts\/747\/revisions\/749"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/arcticwatch.info\/index.php\/wp-json\/wp\/v2\/media\/748"}],"wp:attachment":[{"href":"https:\/\/arcticwatch.info\/index.php\/wp-json\/wp\/v2\/media?parent=747"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/arcticwatch.info\/index.php\/wp-json\/wp\/v2\/categories?post=747"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/arcticwatch.info\/index.php\/wp-json\/wp\/v2\/tags?post=747"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}