VAST (Vector Autoregressive Spatio-Temporal)
Gaussian Markov Random Fields framework for multi-species analysis of Alaska groundfish and invertebrates. Provides stock assessment index standardization and essential habitat modeling.
Ocean, Climate & Ecological Models
Real-time forecasts to long-term climate projections for the North Pacific
Gaussian Markov Random Fields framework for multi-species analysis of Alaska groundfish and invertebrates. Provides stock assessment index standardization and essential habitat modeling.
Real-time species distribution predictions for swordfish, blue sharks, leatherback turtles, and sea lions using Bayesian regression trees for dynamic fisheries management and bycatch reduction.
Ensemble species distribution models for blue whales providing weekly updates and monthly predictions at 0.1° resolution for ship strike risk reduction.
Operational daily predictions for blue, mako, white, and salmon sharks using ensemble SDMs for conservation management in the California Current.
GAMMs with SST and ecosystem covariates for Pacific bluefin tuna recruitment forecasting and habitat modeling under marine heatwave conditions.
Climate impact assessment for 14 top predator species including birds, sharks, and marine mammals, forecasting temperature impacts across the North Pacific.
Global species distribution model simulating changes in abundance, distribution, and body size of over 1000 marine species under climate change scenarios.
Regional Ocean Modeling System for high-resolution North Pacific circulation, temperature, and biogeochemical forecasting at 0.1° resolution.
NOAA GFDL’s next-generation ocean model for global and regional climate simulations, supporting coupled frameworks and high-resolution ocean physics.
Operational ocean forecasting system from US Navy and NOAA with global data assimilation for real-time ocean prediction and forecasting applications.
Up to 12-month marine heatwave forecasts providing early warning systems for ecosystem managers and fisheries across global marine regions.
Comprehensive habitat models for 33+ species across the Eastern Bering Sea, Gulf of Alaska, and Aleutian Islands using ensemble modeling.
Spatio-temporal climate models for Chinook salmon within Bristol Bay watersheds, supporting salmon management and adaptation strategies.
Multi-model ensemble projecting climate impacts on Bering Sea and Gulf of Alaska ecosystems, supporting ecosystem-based fishery management.
Pan-Pacific lower trophic level ecosystem model for phytoplankton and zooplankton dynamics, developed through multinational PICES collaboration.
End-to-end ecosystem model for Gulf of Alaska marine communities and fisheries. Part of GOA-CLIM Project for climate projections and yield evaluation.
Food web models for East China Sea, Yellow Sea, and East Sea ecosystems. NIFS Korea’s analysis of carrying capacity and ecosystem-based management.
Multi-region habitat models for bigeye and yellowfin tuna developed through NOAA, WCPFC, and IATTC partnerships supporting international fisheries.
Global ensemble framework uniting 100+ institutions for climate impact assessment, fisheries projections, and policy support using ecosystem models.
This interactive platform connects and synthesizes information about changing ocean conditions, key species, and management approaches across the North Pacific. The North Pacific Ocean Knowledge Network is being developed through the Basin-scale Events and Coastal Impacts (BECI) project to transform fragmented research and data into accessible, actionable insights that support climate-informed fisheries management and conservation decisions across jurisdictions.
Demo Platform Notice
This demonstration showcases the platform's structure and functionality. Some content is illustrative to demonstrate proof-of-concept capabilities. Information presented here should not be used for management decisions or policy development. The full operational platform will contain only verified, peer-reviewed, and validated information from authoritative sources.