Lisa Hazard
Scripps Institution of Oceanography
8 Papers
30 Citations
Lisa Hazard is an academic researcher from Scripps Institution of Oceanography. The author has contributed to research in topics: Integrated Ocean Observing System & Plume. The author has an hindex of 6, co-authored 8 publications.
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Papers
The Global High Frequency Radar Network
Hugh Roarty,Thomas Cook,Lisa Hazard,Doug George,Jack Harlan,Simone Cosoli,Lucy R. Wyatt,Enrique Álvarez Fanjul,Eric Terrill,Mark Otero,John L. Largier,Scott Glenn,Naoto Ebuchi,Brian Whitehouse,Kevin Bartlett,Julien Mader,Anna Rubio,Lorenzo Corgnati,Carlo Mantovani,Annalisa Griffa,Emma Reyes,Pablo Lorente,X. Flores-Vidal,Kelly Johanna Saavedra-Matta,Peter Rogowski,Siriluk Prukpitikul,Sang Ho Lee,Jian-Wu Lai,Charles-Antoine Guérin,Jorge Sanchez,Birgit Hansen,Stephan T. Grilli +31 more
TL;DR: The Global High Frequency Radar Network (HFRNet) as discussed by the authors has been in operation for over thirteen years, with radar data being ingested from 31 organizations including measurements from Canada and Mexico, and holds a collection from over 150 radar installations totaling millions of records of surface ocean velocity measurements.
The Integrated Ocean Observing System High-Frequency Radar Network: Status and Local, Regional, and National Applications
Jack Harlan,Eric Terrill,Lisa Hazard,Carolyn Keen,Donald Barrick,Chad Whelan,Stephan Howden,Josh Kohut +7 more
TL;DR: The Integrated Ocean Observing System (IOOS) as discussed by the authors is a pre-operational network made up of more than 100 radars from 30 different institutions that provides hourly 2D ocean surface current velocity fields in near real time from a few km offshore out to approximately 200 km.
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Data Management and Real-time Distribution in the HF-Radar National Network
Eric Terrill,Mark Otero,Lisa Hazard,Don T. Conlee,Jack Harlan,Josh Kohut,P. Reuter,Thomas Cook,T. Harris,K. Lindquist +9 more
- 01 Sep 2006
TL;DR: The architecture, status and applications of a realtime data access, distribution, processing and storage system designed for networking radial data from surface current mapping HF-Radar instruments across the United States is presented.
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Mapping ocean outfall plumes and their mixing using autonomous underwater vehicles
TL;DR: In this paper, the authors report on their experiences developing methods to survey an ocean outfall discharge plume using an AUV using an optical sensing of the presence of Colored Dissolved Organic Matter (CDOM) in discharge plumes for quantitatively assessing the dilution ratio of the plume water.
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Ocean outfall plume characterization using an Autonomous Underwater Vehicle.
TL;DR: The results suggest that even under variable oceanic conditions, properly planned missions for AUVs equipped with an optical CDOM sensor in addition to traditional oceanographic sensors, can accurately characterize and track ocean outfall plumes at higher resolutions than cast-based techniques.
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