{"id":1123,"date":"2011-09-06T06:38:48","date_gmt":"2011-09-06T10:38:48","guid":{"rendered":"http:\/\/mseas.net16.net\/?p=1123"},"modified":"2021-07-06T13:25:32","modified_gmt":"2021-07-06T17:25:32","slug":"the-california-current-system-a-multiscale-overview-and-the-development-of-a-feature-oriented-regional-modeling-system-forms-2","status":"publish","type":"post","link":"https:\/\/mseas.mit.edu\/?p=1123","title":{"rendered":"The California Current System: A Multiscale Overview and the Development of a Feature-Oriented Regional Modeling System (FORMS)"},"content":{"rendered":"Over the past decade, the feature-oriented regional modeling\r\nmethodology has been developed and applied in several ocean\r\ndomains, including the western North Atlantic and tropical North\r\nAtlantic. This methodology is model-independent and can be utilized\r\nwith or without satellite and\/or in situ observations. Here we\r\ndevelop new feature-oriented models for the eastern North Pacific\r\nfrom 36 to 48? &#8211; essentially, most of the regional eastern boundary\r\ncurrent. This is the first time feature-modeling has been applied\r\nto a complex eastern boundary current system. As a prerequisite to\r\nfeature modeling, prevalent features that comprise the multiscale\r\nand complex circulation in the California Current system (CCS) are\r\nfirst overviewed. This description is based on contemporary understanding\r\nof the features and their dominant space and time scales of\r\nvariability. A synergistic configuration of circulation features interacting\r\nwith one another on multiple and sometimes overlapping\r\nspace and time scales as a meander-eddy-upwelling system is presented.\r\nThe second step is to define the feature-oriented regional\r\nmodeling system (FORMS). The major multiscale circulation features include the mean flow and southeastward meandering\r\njet(s) of the California Current (CC), the poleward flowing California\r\nUndercurrent (CUC), and six upwelling regions along the coastline.\r\nNext, the typical synoptic width, location, vertical extent, and\r\ncore characteristics of these features and their dominant scales of\r\nvariability are identified from past observational, theoretical and\r\nmodeling studies. The parameterized features are then melded with\r\nthe climatology, in situ and remotely sensed data, as available.\r\nThe methodology is exemplified here for initialization of primitiveequation\r\nmodels. Dynamical simulations are run as nowcasts and\r\nshort-term (4-6 weeks) forecasts using these feature models (FM)\r\nas initial fields and the Princeton Ocean Model (POM) for dynamics.\r\nThe set of simulations over a 40-day period illustrate the applicability\r\nof FORMS to a transient eastern boundary current region such\r\nas the CCS. Comparisons are made with simulations initialized from\r\nclimatology only. The FORMS approach increases skill in several factors,\r\nincluding the: (i) maintenance of the low-salinity pool in the\r\ncore of the CC; (ii) representation of eddy activity inshore of the\r\ncoastal transition zone; (iii) realistic eddy kinetic energy evolution;\r\n(iv) subsurface (intermediate depth) mesoscale feature evolution;\r\nand (v) deep poleward flow evolution.","protected":false},"excerpt":{"rendered":"<p>Over the past decade, the feature-oriented regional modeling methodology has been developed and applied in several ocean domains, including the western North Atlantic and tropical North Atlantic. This methodology is model-independent and can be utilized with or without satellite and\/or in situ observations. Here we develop new feature-oriented models for the eastern North Pacific from [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32,37,28,38,5,59,54],"tags":[],"class_list":["post-1123","post","type-post","status-publish","format-standard","hentry","category-numerical-ocean-modeling","category-applications-to-ocean-dynamics","category-multiscale-ocean-modeling","category-physical-oceanography","category-publications","category-papers-in-refereed-journals-physical-oceanography","category-papers-in-refereed-journals-multiscale-ocean-modeling"],"_links":{"self":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/posts\/1123","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=1123"}],"version-history":[{"count":5,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/posts\/1123\/revisions"}],"predecessor-version":[{"id":5631,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/posts\/1123\/revisions\/5631"}],"wp:attachment":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1123"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1123"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1123"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}