Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47379
Title: Ocean predictive skill assessments in the South Atlantic: Crowd-sourcing of student-based discovery
Authors: Sacatelli, Rachael
Schofield, Tobias
Todoroff, Katherine
Carandang, Angela
Eng, Alyson
Lowry, Ian
Mather, Harrison
Ramos, Antonio 
Swart, Sebastiaan
Dottori, Marcelo
Strandskov, Nilsen
Kohut, Josh
Schofield, Oscar
Glenn, Scott
UNESCO Clasification: 3301 Ingeniería y tecnología aeronáuticas
2510 Oceanografía
Keywords: Ocean Forecasting
Autonomous Underwater Gliders
Challenger Glider Mission
Issue Date: 2014
Journal: Oceans. Conference Record 
Conference: Oceans Conference 
Abstract: Autonomous Underwater Gliders have over a decade long history of successful regional deployments serving scientific, societal and security needs in application areas ranging from pole to pole and including the full range of water depths from shallow coastal seas to the deep ocean. Glider deployments covering the basin scale are much fewer, but are a growing capacity as demonstrated by the Woods Hole to Bermuda line that crosses the Gulf Stream, the Atlantic Crossing line that follows the Gulf Stream, and the basin circling flights now being conducted as part of the Challenger Glider Mission. The next step in the evolution of the global Challenger mission is to enable an ensemble of modelers from different institutions and agencies to participate in a meaningful way. This process with be formalized in 2014 by leveraging the data management tools of the U.S. Integrated Ocean Observing System (IOOS) and the education tools of the U.S. National Science Foundation's (NSF) Ocean Observing Initiative (OOI). The Education Visualization (EV) tools developed by the OOI's Education and Public Engagement (EPE) Implementing Organization (IO) are currently being configured through the cyber OOI net to display real time OOI glider data with intuitive interactive browser-based tools, reducing the barriers for student participation in sea exploration and discovery. Through U.S. IOOS, forecast ocean data will be harvested from the ephemeral ocean snapshots produced by an ensemble of ocean models along the same glider tracks as Challenger. The parallel observed and forecast datasets, both evolving in real time, will be accessible through the same OOI EV tools, enabling student participation in a crowd-sourced ocean predictive skill experiment. The result will satisfy one of the important goals of the Challenger mission by enabling students to assess of the quality of the ensemble of available global scale ocean models. Student research team projects that use the new model data comparison capabilities will be conducted during the summer of 2014. Students will compare an ensemble of the global ocean models along the high velocity transport pathways by gliders on basin-scale missions, such as one that traverses the northern side of the South Atlantic gyre along the Brazilian shelfbreak. The lasting impact of the Challenger mission will be a global fleet available to respond to events, an assessment of the ocean models along the fastest ocean transport pathways, and the establishment of a network of gliderports for global response.
URI: http://hdl.handle.net/10553/47379
ISBN: 9781479949182
ISSN: 0197-7385
DOI: 10.1109/OCEANS.2014.7003134
Source: 2014 Oceans - St. John's, OCEANS 2014 [ISSN 0197-7385] (7003134)
Appears in Collections:Actas de congresos
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