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IOOS Regional Models and Applications
IOOS data comes from a variety of technologies and data collection systems across United States waters, including buoys, high frequency radar systems and gliders. Understanding the current and future state of our Nation’s coasts, oceans, and Great Lakes from these disparate and complex data sets is a challenge.
The IOOS® Regional Associations use models and model applications to understand and communicate current marine conditions, and forecast and predict future marine conditions. IOOS® delivers and disseminates these models, model outputs, and model-based applications so that decision-makers can take action to improve safety, enhance the economy, and protect the environment.
The full catalog of IOOS® Regional models can be found here. Often, models developed by IOOS® partners are transitioned to NOAA to run; these are not included in the IOOS modeling catalog, but are included in NOAA’s Operational Forecast Systems and Harmful Algal Bloom (HAB) forecasts. Additional models by IOOS partners can also be visualized in the IOOS® Model Viewer.
WHY USE MODELS?
IOOS uses models to understand current marine conditions, and forecast and predict future marine conditions.
Data Models organize and standardize data elements to understand how they relate to one another and to ocean, coastal, and Great Lakes properties.
Model Applications translate and visualize modeling outputs to make data easier to see and understand.
Catalog of IOOS Regional Models and Applications
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xTide
The XTide package provides tide and current predictions
SSCOFS_dev
SSCOFS_dev represents the next version of the SSCOFS; efforts currently in progress include (a) refinement of lateral and vertical resolution, (b) incorporation of coastal estuaries, (c) upgrade to metrological inputs and further improvements to the Columbia River domain, (d) data assimilation and machine learning, and (e) development of local sub-domain forecasts for the intertidal regions of interest.
WCOFS-NEMURO
Assess WCOFS output using RA-developed metrics, (b) contribute specific technical developments to the WCOFS data assimilation implementation, (c) couple WCOFS to a lower-trophic level, biogeochemical model with phytoplankton and zooplankton diversity and oxygen as state variables, (d) transition a mature Harmful Algal Bloom (HAB) probability model to produce 3-day forecasts using WCOFS output,
ROMS-NEMUCSC
Customized version of the North Pacific Ecosystem Model for Understanding Regional Oceanography (NEMURO) model specifically parameterized for the California Current Ecosystem NEMUCSC includes three limiting macronutrients, two phytoplankton (nanophytoplankton and diatoms), and three zooplankton (micro, meso, and predatory) functional groups.
CDIP Waves/California Swell Model
The Coastal Data Information Program (CDIP) specializes in wave measurement, swell modeling and forecasting, and the analysis of coastal environment data.
UBC SalishSeaCast
Using the NEMO modelling architecture, the Salish Sea model will be used to evaluate storm surge risk in coastal communities.
