Controlled, Agile, and Novel Observing Network (CANON) OverviewTeamLatest NewsTechnologiesData Developing and using a Controlled, Agile and Novel Observing Network (CANON)Under the Controlled, Agile and Novel Observing Network (CANON) project, we work to develop technology to observe traditionally understudied but ecologically important ephemeral features in the ocean and evaluate their impacts on ecosystem dynamics.The Importance and Challenge of Sampling Transient Events in the OceanHow can researchers understand ocean biogeochemistry when the subject of study varies constantly over time and space? MBARI’s Controlled, Agile, and Novel Observing Network (CANON) Initiative is an interdisciplinary effort that utilizes smart, autonomous devices designed to cooperate with each other to collect oceanographic information. Having time-varying spatial information relative to upwelling plumes, associated fronts, and chemical features can greatly improve our understanding of Monterey Bay and the California Current Ecosystem.Moving from Shipboard to Autonomous ObservationsUsing robots to find the feature or process of interest rapidly is key to directing the activities of devices so they can sample effectively. Autonomous vehicles that can collect samples for laboratory analyses and provide information about zooplankton, fish, and marine mammals will help scientists to develop a realistic picture of the relationships between oceanographic processes and life in the sea. Our hope is that with these new tools, researchers will be able to better predict what lies in the future for ocean ecosystems.Observational CampaignsDuring previous field experiments in Monterey Bay, long-range autonomous underwater vehicles have been used to follow a subsurface patch of seawater rich in ammonium, target sampling along an upwelling front, drift within an upwelling isotherm, and target vertically migrating layers of fish above an upward facing echosounder. CANON seeks to combine different novel technologies together to gain a better understanding of processes that wouldn’t be possible through one technology alone. Through these efforts we can determine how best to combine technologies to the greatest effect. Illustration by Amadeo Bachar ©2012 MBARI Read More Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Team Directory Francisco P. Chavez Senior Scientist/Biological Oceanographer Kathleen Pitz Senior Research Technician Danelle E. Cline Senior Software Engineer Duane Edgington Senior Software Engineer Kevin Gomes Information Engineering Group Lead Thom Maughan Senior Software Engineer Mike McCann Senior Software Engineer Monique Messié Senior Research Specialist John Ryan Senior Research Specialist Christopher A. Scholin President and Chief Executive Officer Kobun Truelove Research Specialist Christopher Wahl LRAUV Lead Operations Engineer Yanwu Zhang Senior Research Engineer Publications All Publications Sorry, no results were found. Latest News All News News Ocean research in a time of COVID-19 News 07.30.20 News Spring 2019 CANON experiment explores Earth’s largest migration News 05.29.19 News Chasing ocean ecosystem hotspots 06.05.18 News CANON Spring 2017 Expedition 05.02.17 News Unusually high concentrations of toxic algae detected in Monterey Bay News 06.01.15 Technologies All Technologies Vehicle, Autonomous Underwater Vehicle (AUV), Dorado Class Gulper Technology Gulper An upper-water-column autonomous underwater vehicle that rapidly acquires multiple large-volume seawater samples throughout the upper water column. Vehicle, Autonomous Underwater Vehicle (AUV), Tethys Class Long-range AUV (LRAUV) Technology Long-range AUV (LRAUV) The long-range AUV (LRAUV) greatly expands the types of observations and experiments possible with autonomous platforms. Instrument CTD Rosette Technology CTD Rosette The CTD measures conductivity (which helps determine salinity), temperature, and depth. Instrument Environmental Sample Processor (ESP) Technology Environmental Sample Processor (ESP) This “lab in a can” provides on-site collection and analysis of water samples from the ocean, identifying the presence of organisms and/or biological toxins. Data All Data Data Ocean Acidification 1 (OA1) Mooring Data from the OA1 mooring, located just offshore of Hopkins Marine Station and the Monterey Bay Aquarium Data Spatial Temporal Oceanographic Query System (STOQS) Data STOQS is open-source software that provides new capabilities for scientists to gain insight from oceanographic data
Vehicle, Autonomous Underwater Vehicle (AUV), Dorado Class Gulper Technology Gulper An upper-water-column autonomous underwater vehicle that rapidly acquires multiple large-volume seawater samples throughout the upper water column.
Vehicle, Autonomous Underwater Vehicle (AUV), Tethys Class Long-range AUV (LRAUV) Technology Long-range AUV (LRAUV) The long-range AUV (LRAUV) greatly expands the types of observations and experiments possible with autonomous platforms.
Instrument CTD Rosette Technology CTD Rosette The CTD measures conductivity (which helps determine salinity), temperature, and depth.
Instrument Environmental Sample Processor (ESP) Technology Environmental Sample Processor (ESP) This “lab in a can” provides on-site collection and analysis of water samples from the ocean, identifying the presence of organisms and/or biological toxins.
Data Ocean Acidification 1 (OA1) Mooring Data from the OA1 mooring, located just offshore of Hopkins Marine Station and the Monterey Bay Aquarium
Data Spatial Temporal Oceanographic Query System (STOQS) Data STOQS is open-source software that provides new capabilities for scientists to gain insight from oceanographic data