Real-time sea experiments often involve large computational costs and software development associated with running numerical ocean simulations. Effective visualization tools that interpret the results of these simulations are therefore a necessity, and must overcome the challenges of plotting large, high-resolution, three-dimensional, time-dependent, and probabilistic ocean fields and associated quantities in real-time. Although disparate visualization tools aimed at ocean forecasting exist, a complete, integrated visualization suite that is efficient, interactive, and has 3D capabilities is still needed. In this work, we present the MSEAS high-performance visualization suite for real-time sea experiments. It processes multidisciplinary oceanographic fields in a computationally efficient manner and creates easy-to-use, portable, and interactive visualizations. The suite includes static visualization tools based on NCAR Graphics and MATLAB; the interactive web-based tool 2DSeaVizKit built using leaflet and D3.js for interactive 2D visualization on the world map; and 3DSeaVizKit, a browser-based, interactive 3D visualization tool built using Plotly and WebGL for exploratory 3D analysis of ocean forecasts. It can provide standard 2D cross-sections for scalar-valued data; quiver plots, pathlines, and streamtubes for vector-valued data; Lagrangian products (such as trajectories, Lagrangian Coherent Structures, etc.); isosurfaces for 3D data; and an interactive graphical user interface for selecting the quantities, times, and sub-domains of interest. We showcase applications of the visualization suite during three recent exercises that took place in the Gulf of Mexico, the Clarion-Clipperton Fracture Zone in the Pacific Ocean, and the Balearic sea.<\/p>\n","protected":false},"excerpt":{"rendered":"
Real-time sea experiments often involve large computational costs and software development associated with running numerical ocean simulations. Effective visualization tools that interpret the results of these simulations are therefore a necessity, and must overcome the challenges of plotting large, high-resolution, three-dimensional, time-dependent, and probabilistic ocean fields and associated quantities in real-time. Although disparate visualization tools […]<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30,5,74,196],"tags":[214,200,211,207,215],"class_list":["post-6044","post","type-post","status-publish","format-standard","hentry","category-scientific-visualization","category-publications","category-proceedings-of-refereed-conferences-visualization","category-visualization","tag-benioff-foundation","tag-calypso","tag-gulf-of-mexico","tag-in-bda","tag-schmidt-foundation"],"_links":{"self":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/posts\/6044","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\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6044"}],"version-history":[{"count":3,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/posts\/6044\/revisions"}],"predecessor-version":[{"id":6211,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=\/wp\/v2\/posts\/6044\/revisions\/6211"}],"wp:attachment":[{"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6044"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6044"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mseas.mit.edu\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6044"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}