{"id":954,"date":"2006-09-06T05:11:41","date_gmt":"2006-09-06T09:11:41","guid":{"rendered":"http:\/\/mseas.net16.net\/?p=954"},"modified":"2021-08-16T21:08:44","modified_gmt":"2021-08-17T01:08:44","slug":"progress-and-prospects-of-u-s-data-assimilation-in-ocean-research","status":"publish","type":"post","link":"https:\/\/mseas.mit.edu\/?p=954","title":{"rendered":"Progress and Prospects of U.S. Data Assimilation in Ocean Research"},"content":{"rendered":"THIS REPORT summarizes goals,\r\nactivities, and recommendations of a\r\nworkshop on data assimilation held in\r\nWilliamsburg, Virginia on September\r\n9-11, 2003, and sponsored by the U.S.\r\nOffice of Naval Research (ONR) and National\r\nScience Foundation (NSF). The\r\noverall goal of the workshop was to synthesize\r\nresearch directions for ocean data\r\nassimilation (DA) and outline efforts\r\nrequired during the next 10 years and\r\nbeyond to evolve DA into an integral and\r\nsustained component of global, regional,\r\nand coastal ocean science and observing\r\nand prediction systems. The workshop\r\nbuilt on the success of recent and existing\r\nDA activities such as those sponsored\r\nby the National Oceanographic Partnership\r\nProgram (NOPP) and NSF-Information\r\nTechnology Research (NSF-ITR).\r\nDA is a quantitative approach to optimally\r\ncombine models and observations.\r\nThe combination is usually consistent\r\nwith model and data uncertainties, which\r\nneed to be represented. Ocean DA can\r\nextract maximum knowledge from the\r\nsparse and expensive measurements of\r\nthe highly variable ocean dynamics. The\r\nultimate goal is to better understand and\r\npredict these dynamics on multiple spatial\r\nand temporal scales, including interactions\r\nwith other components of the\r\nclimate system. There are many applications\r\nthat involve DA or build on its results,\r\nincluding: coastal, regional, seasonal,\r\nand inter-annual ocean and climate\r\ndynamics; carbon and biogeochemical\r\ncycles; ecosystem dynamics; ocean engineering;\r\nobserving-system design; coastal\r\nmanagement; fisheries; pollution control;\r\nnaval operations; and defense and security.\r\nThese applications have different requirements\r\nthat lead to variations in the\r\nDA schemes utilized. For literature on\r\nDA, we refer to Ghil and Malanotte-Rizzoli\r\n(1991), the National Research Council\r\n(1991), Bennett (1992), Malanotte-\r\nRizzoli (1996), Wunsch (1996), Robinson\r\net al. (1998), Robinson and Lermusiaux\r\n(2002), and Kalnay (2003). We also refer\r\nto the U.S. Global Ocean Data Assimilation\r\nExperiment (GODAE) workshop on\r\nGlobal Ocean Data Assimilation: Prospects\r\nand Strategies (Rienecker et al., 2001);\r\nU.S. National Oceanic and Atmospheric\r\nAdministration-Office of Global Programs\r\n(NOAA-OGP) workshop on Coupled\r\nData Assimilation (Rienecker, 2003);\r\nand, NOAA-NASA-NSF workshop on\r\nOngoing Analysis of the Climate System\r\n(Arkin et al., 2003).","protected":false},"excerpt":{"rendered":"<p>THIS REPORT summarizes goals, activities, and recommendations of a workshop on data assimilation held in Williamsburg, Virginia on September 9-11, 2003, and sponsored by the U.S. Office of Naval Research (ONR) and National Science Foundation (NSF). The overall goal of the workshop was to synthesize research directions for ocean data assimilation (DA) and outline efforts [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[182,34,5,69],"tags":[],"class_list":["post-954","post","type-post","status-publish","format-standard","hentry","category-learning-and-data-assimilation","category-data-assimilation","category-publications","category-proceedings-of-refereed-conferences-data-assimilation"],"_links":{"self":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/posts\/954","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=954"}],"version-history":[{"count":5,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/posts\/954\/revisions"}],"predecessor-version":[{"id":5727,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/posts\/954\/revisions\/5727"}],"wp:attachment":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=954"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=954"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=954"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}