⇒ ONC: Ocean Networks Canadahttps://repository.oceanbestpractices.org/handle/11329/10382024-03-29T02:04:58Z2024-03-29T02:04:58ZCanadian Integrated Ocean Observing System: Investigative evaluations cyberinfrastructure.Kelly, RichardSmit, MikeFitzsimmons, ShaylaBruce, ScottBulger, CraigCovey, BradDavis, RichardGosse, RyanOwens, DwightPirenne, Benoithttps://repository.oceanbestpractices.org/handle/11329/22392023-05-29T20:32:08Z2017-01-01T00:00:00ZCanadian Integrated Ocean Observing System: Investigative evaluations cyberinfrastructure.
Kelly, Richard; Smit, Mike; Fitzsimmons, Shayla; Bruce, Scott; Bulger, Craig; Covey, Brad; Davis, Richard; Gosse, Ryan; Owens, Dwight; Pirenne, Benoit
Numerous countries have employed a coordinated network of government agencies, research institutions, and private companies to establish national integrated Ocean Observing Systems (OOSes). Although Canada boasts a robust and diverse ocean economy, the country has implemented no such network To better adapt in the face of a changing environment and to assist the country in meeting national and international commitments, Fisheries and Oceans Canada (DFO) has commissioned investigative evaluations (IEs) to determine the cost and feasibility of creating a Canadian Integrated Ocean Observing System (CIOOS). This report contains the recommendations of the Cyberinfrastructure IE, and outlines three models, low, moderate and high, with varying levels of service. To determine an appropriate cyberinfrastructure configuration for CIOOS, information was gathered from both national and international sources. Systems and standards were evaluated, stakeholders surveyed, and existing international OOSes consulted to identify potential limits or gaps to the implementation of CIOOS.
2017-01-01T00:00:00ZThe Oceans 2.0/3.0 Data Management and Archival System.Owens, DwightAbeysirigunawardena, DilumieBiffard, BenChen, YanConley, PatrickJenkyns, ReynaKerschtien, ShaneLavallee, TimMacArthur, MelissaMousseau, JinaOld, KimPaulson, MeghanPirenne, BenoîtScherwath, MartinThorne, Michaelhttps://repository.oceanbestpractices.org/handle/11329/21512023-03-03T21:02:05Z2022-01-01T00:00:00ZThe Oceans 2.0/3.0 Data Management and Archival System.
Owens, Dwight; Abeysirigunawardena, Dilumie; Biffard, Ben; Chen, Yan; Conley, Patrick; Jenkyns, Reyna; Kerschtien, Shane; Lavallee, Tim; MacArthur, Melissa; Mousseau, Jina; Old, Kim; Paulson, Meghan; Pirenne, Benoît; Scherwath, Martin; Thorne, Michael
The advent of large-scale cabled ocean observatories brought about the need to handle
large amounts of ocean-based data, continuously recorded at a high sampling rate over
many years and made accessible in near-real time to the ocean science community
and the public. Ocean Networks Canada (ONC) commenced installing and operating
two regional cabled observatories on Canada’s Pacific Coast, VENUS inshore and
NEPTUNE offshore in the 2000s, and later expanded to include observatories in the
Atlantic and Arctic in the 2010s. The first data streams from the cabled instrument nodes
started flowing in February 2006. This paper describes Oceans 2.0 and Oceans 3.0, the
comprehensive Data Management and Archival System that ONC developed to capture
all data and associated metadata into an ever-expanding dynamic database. Oceans
2.0 was the name for this software system from 2006–2021; in 2022, ONC revised
this name to Oceans 3.0, reflecting the system’s many new and planned capabilities
aligning with Web 3.0 concepts. Oceans 3.0 comprises both tools to manage the data
acquisition and archival of all instrumental assets managed by ONC as well as enduser
tools to discover, process, visualize and download the data. Oceans 3.0 rests
upon ten foundational pillars: (1) A robust and stable system architecture to serve
as the backbone within a context of constant technological progress and evolving
needs of the operators and end users; (2) a data acquisition and archival framework
for infrastructure management and data recording, including instrument drivers and
parsers to capture all data and observatory actions, alongside task management
options and support for data versioning; (3) a metadata system tracking all the details
necessary to archive Findable, Accessible, Interoperable and Reproducible (FAIR) data
from all scientific and non-scientific sensors; (4) a data Quality Assurance and Quality
Control lifecycle with a consistent workflow and automated testing to detect instrument,
data and network issues; (5) a data product pipeline ensuring the data are served
in a wide variety of standard formats; (6) data discovery and access tools, both
generalized and use-specific, allowing users to find and access data of interest; (7)
an Application Programming Interface that enables scripted data discovery and access;
(8) capabilities for customized and interactive data handling such as annotating videos
or ingesting individual campaign-based data sets; (9) a system for generating persistent
data identifiers and data citations, which supports interoperability with external data
repositories; (10) capabilities to automatically detect and react to emergent events such
as earthquakes. With a growing database and advancing technological capabilities,
Oceans 3.0 is evolving toward a future in which the old paradigm of downloading
packaged data files transitions to the new paradigm of cloud-based environments for
data discovery, processing, analysis, and exchange.
2022-01-01T00:00:00ZThe Best of Both Worlds: Connecting Remote Sensing and Arctic Communities for Safe Sea Ice Travel.Segal, Rebecca A.Scharien, Randall K.Duerden, FrankTam, Chui-Linghttps://repository.oceanbestpractices.org/handle/11329/20692022-09-09T21:00:56Z2020-01-01T00:00:00ZThe Best of Both Worlds: Connecting Remote Sensing and Arctic Communities for Safe Sea Ice Travel.
Segal, Rebecca A.; Scharien, Randall K.; Duerden, Frank; Tam, Chui-Ling
Northern communities are increasingly interested in technology that provides information about the sea ice environment for travel purposes. Synthetic aperture radar (SAR) remote sensing is widely used to observe sea ice independently of sunlight and cloud cover, however, access to SAR in northern communities has been limited. This study 1) defines the sea ice features that influence travel for two communities in the Western Canadian Arctic, 2) identifies the utility of SAR for enhancing mobility and safety while traversing environments with these features, and 3) describes methods for sharing SAR-based maps. Three field seasons (spring and fall 2017 and spring 2018) were used to engage residents in locally guided research, where applied outputs were evaluated by community members. We found that SAR image data inform and improve sea ice safety, trafficability, and education. Information from technology is desired to complement Inuit knowledge-based understanding of sea ice features, including surface roughness, thin sea ice, early and late season conditions, slush and water on sea ice, sea ice encountered by boats, and ice discontinuities. Floe edge information was not a priority. Sea ice surface roughness was identified as the main condition where benefits to trafficability from SAR-based mapping were regarded as substantial. Classified roughness maps are designed using thresholds representing domains of sea ice surface roughness (smooth ice/maniqtuk hiku, moderately rough ice/maniilrulik hiku, rough ice/maniittuq hiku; dialect is Inuinnaqtun). These maps show excellent agreement with local observations. Overall, SAR-based maps tailored for on-ice use are beneficial for and desired by northern community residents, and we recommend that high-resolution products be routinely made available in communities.
2020-01-01T00:00:00Z