The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.

The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.

The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.

The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.

The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.

Full rupture of the Cascadia interface fault, the fault defining the boundary between the North American and Pacific Ocean plates. This magnitude 9.0 event, often referred to as ‘The Big One’, affects most communities in southwestern British Columbia.

Effective conservation planning relies on understanding population connectivity which can be informed by genomic data. This is particularly important for sessile species like the horse mussel (Modiolus modiolus), a key habitat-forming species and conservation priority in Atlantic Canada), yet little genomic information is available to describe horse mussel connectivity patterns. We used more than 8000 restriction-site associated DNA sequencing-derived single nucleotide polymorphisms and a panel of 8 microsatellites to examine genomic connectivity among horse mussel populations in the Bay of Fundy, along the Scotian Shelf, and in the broader northwestern Atlantic extending to Newfoundland. Despite phenotypic differences between sampling locations, we found an overall lack of genetic diversity and population structure in horse mussels in the Northwest Atlantic Ocean. All sampled locations had low heterozygosity, very low FST, elevated inbreeding coefficients, and deviated from Hardy-Weinberg Equilibrium, highlighting generally low genetic diversity across all metrics. Principal components analysis, Admixture analysis, pairwise FST calculations, and analysis of outlier loci (potentially under selection) all showed no independent genomic clusters within the data, and an analysis of molecular variance showed that less than 1% of the variation within the SNP dataset was found between sampling locations. Our results suggest that connectivity is high among horse mussel populations in the Northwest Atlantic, and coupled with large effective population sizes, this has resulted in minimal genomic divergence across the region. These results can inform conservation design considerations in the Bay of Fundy and support further integration into the broader regional conservation network.Cite this data as: Van Wyngaarden, Mallory et al. (2024). Widespread genetic similarity between Northwest Atlantic populations of the horse mussel, Modiolus modiolus. Published: May 2025. Coastal Ecosystem Science Division, Maritimes Region, Fisheries and Oceans Canada, Dartmouth, NS.

PURPOSE:"Biological, relative abundance, and environmental data have been collected from the Yellowknife River Cisco population that can be used to inform fisheries management decision-making. Under the conditions of a commercial licence issued under the New Emerging Fisheries Policy, licence holders are required to record catch and biological information to support the assessment of the feasibility and sustainability of the fishery over time, and potential advancement in the stages of a developing fishery. In addition to the information collected from the commercial harvest (fishery-dependent), a fishery-independent sampling and snorkel survey program was conducted with the objective of collecting additional biological, observational, and environmental data during the fall spawning run.The objective of this report is to compile available data from fishery-dependent and fishery-independent sampling of adfluvial Yellowknife River Cisco during fall, 1998-2020*, specifically by:• Summarizing commercial fishery quotas and reported harvest;• Characterizing population demographics and examining for trends over time;• Summarizing metrics of relative abundance (i.e., catch-per-unit-effort data and snorkel survey observations) and examining for trends over time; and• Determining if there were any associations between relative abundance of Cisco and river discharge and temperature. *A commercial harvest occurred in 1998, although no biological or catch-effort records were located. In addition, in response to concerns about the status of the population, the fishery was put on hold 2006–2009 to allow for a population assessment (no data during that time). DESCRIPTION:Cisco (Coregonus artedi) from the Yellowknife River, Northwest Territories, are an important fishery resource for nearby communities. Biological, catch-effort, and environmental data were collected from the Yellowknife River (Tartan Rapids and Bluefish areas) during their fall spawning run from Great Slave Lake. Data from the commercial harvest (fishery-dependent; 1998–2020) and supplementary monitoring (fishery-independent; 2013–2020) of these adfluvial Cisco were compiled to summarize commercial fishery quotas and reported harvest, characterize population demographics and catch-effort over time, and assess potential associations between relative abundance and seasonal river characteristics. A single commercial fishing licence for Cisco was issued on an annual basis each fall for 1,000 kg from 1998–2002, 2,000 kg from 2004–2005, 1,000 kg from 2010–2018, and 1,500 kg from 2019–2020. Cisco ranged from 102–239 mm fork length, 10.0–139.6 g round weight, and 1 and 9 years of age, with the majority of fish (>99%) being sexually mature. The demographics (length, weight, age) of the spawning population collected from the commercial fishery remained relatively stable between 1999 and 2020. Catch-effort of the commercial fishery varied widely among years without trend, although this was not standardized to the number of individuals/nets used to capture the fish. The biological, catch-effort, and environmental data collected from the Yellowknife River spawning population of Cisco serve as a benchmark for their ongoing assessment and management.

Plankton (zooplankton and large phytoplankton) are collected using the Continuous Plankton Recorder (CPR) in the Northwest (NW) Atlantic along tracks transited by container ships from Reykjavik (Iceland) to St. John’s, NL (the Z line), and between St. John’s and the New England Coast, along the Scotian Shelf (the E and MD lines). The CPR Survey is the longest running, most geographically extensive marine ecological survey in the world, providing comparable data on the geographical distribution, seasonal cycles and year-to-year changes in abundance of plankton over a large spatial area. The first northwest Atlantic samples were collected in the Irminger Sea in 1957, and sampling was extended farther west to the Scotian Shelf a few years later. Sampling has continued to the present with some interruptions during the late 1970s and 1980s. Sampling is nominally once per month along the E, MD, and Z lines. DFO Sample collection and analysis are led by the Continuous Plankton Recorder Survey program at the Marine Biological Association of the UK. DFO provides partial support for the northwest Atlantic survey carried out on the E, MD, and Z lines and incorporates CPR data in Atlantic Zone Monitoring Program ocean environmental status reporting.

During the period of 1990 to 1993, Robin J. LeBrasseur and N. Brent Hargreaves led a juvenile salmon migration research project off the west coast of Vancouver Island BC. This included the development of surface beam trawl gear that could be deployed from a large trawl vessel (CCGS W.E. Ricker) and operated in an offshore environment. This dataset contains the research survey catch data and individual fish examinations data.