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IOOS Modeling Community of Practice Models and Products
IOOS® data comes from a variety of instruments that are part of the nationwide observing system, including buoys, high frequency radar systems, water level sensors 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, academic, industry, and local and state government partners use models and tailored model products to understand and communicate current marine conditions, and forecast future marine conditions. Multiple user focused applications and products are often developed from one model, making the IOOS® Modeling Community of Practice model portfolio efficient and specifically tailored to stakeholder needs in their respective regions. IOOS® delivers and disseminates these models, forecasts, and products so that decision-makers can take action to improve safety, enhance the economy, and protect the environment.
Often, models developed by IOOS® partners are transitioned to NOAA for operational use; 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 model outputs from IOOS® partners can also be visualized in the IOOS® Model Viewer.
See Also:
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 Models and Products
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xTide
The XTide package provides tide and current predictions
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. Swell-only (wave periods > 8 sec), based on CDIP's buoy observations The Swell Nowcast predict swell only for the last six hours in nearshore and offshore waters at a 0.01 degree resolution. The
Swell Forecast predicts swell (wave periods > 4 sec) based on ECMWF global forecast for four days from present in nearshore and offshore waters at a 0.01 degree resolution. All frequencies modeled as swell, using offshore input sites only.
UBC SalishSeaCast
Using the NEMO modelling architecture, the Salish Sea model will be used to evaluate storm surge risk in coastal communities.
California ROMS
Provides nowcasts and forecasts of ocean condidtions, including temperature, salinity, and sea surface height
California harmful algae risk mapping (C-HARM)
The California Harmful Algae Risk Mapping (C-HARM) system creates nowcasts and forecasts of domoic acid risk through simulations of the physical circulation using a Regional Ocean Model System (ROMS) to predict water temperature, salinity, upwelling, advection.
