{"id":2307,"date":"2011-09-26T15:25:04","date_gmt":"2011-09-26T19:25:04","guid":{"rendered":"http:\/\/mseas.mit.edu\/?page_id=2307"},"modified":"2019-08-26T13:44:18","modified_gmt":"2019-08-26T17:44:18","slug":"stochastic-forcing-for-ocean-uncertainty-prediction","status":"publish","type":"page","link":"https:\/\/mseas.mit.edu\/?page_id=2307","title":{"rendered":"Past Project &#8211; Stochastic Forcing for Ocean Uncertainty Prediction"},"content":{"rendered":"A main focus of this research is to determine the role of stochastic forcing on ocean uncertainty and variability\npredictions. The work includes collaborations with NRL-Stennis to prepare the transfer of a subset\nof the capabilities and software developed by the MSEAS group.  This applied research in stochastic modeling and ocean uncertainty\nprediction is linked to two growing fundamental fields: prediction and reduction of uncertainties; and,\nestimation of properties by combining models with data. From a fundamental viewpoint, uncertainty is\ncharacterized by a probability density function (pdf). One of the aims of the applied research and\ncollaborations with NRL will be to improve the prediction of such pdfs.\n\nThe research thrusts for this effort include:\n<ul>\n \t<li>Stochastic forcing and uncertainty\/variability predictions<\/li>\n \t<li>Sensitivity analysis for forecast quality control, data-model comparisons and data error models<\/li>\n \t<li>Multiscale covariance modeling and mapping<\/li>\n \t<li>Ensemble initialization and generation, towards non-Gaussian ensemble initialization<\/li>\n<\/ul>\nOur specific objectives are to:\n<ul>\n \t<li>Develop, demonstrate and transfer techniques for stochastic error modeling and stochastic boundary\nforcing for improved ensemble uncertainty predictions with NCOM and COAMPS<\/li>\n \t<li>Develop and transfer software for ocean data management, quality control and automated robust\ndistribution, including data error-models and data-model comparison codes<\/li>\n \t<li>Demonstrate and transfer techniques for multiscale covariance modeling and level-set-based\nobjective analysis codes for mapping data in complex coastal\/archipelago domains<\/li>\n \t<li>Develop and demonstrate ensemble initialization and generation schemes, towards non-Gaussian\nensemble initialization<\/li>\n \t<li>Apply the above advances in collaborative sea exercises of opportunity<\/li>\n \t<li>Strengthen existing and initiate new collaborations with NRL, using and leveraging the MIT Naval\nOfficer education program<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>A main focus of this research is to determine the role of stochastic forcing on ocean uncertainty and variability predictions. The work includes collaborations with NRL-Stennis to prepare the transfer of a subset of the capabilities and software developed by the MSEAS group. This applied research in stochastic modeling and ocean uncertainty prediction is linked [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":26,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2307","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/pages\/2307","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/types\/page"}],"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=2307"}],"version-history":[{"count":14,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/pages\/2307\/revisions"}],"predecessor-version":[{"id":4988,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/pages\/2307\/revisions\/4988"}],"up":[{"embeddable":true,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/pages\/26"}],"wp:attachment":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2307"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}