IOOS

"The Integrated Ocean Observing System (IOOS) is an organization of systems that routinely and continuously provides quality controlled data and information on current and future states of the oceans and Great Lakes from the global scale of ocean basins to local scales of coastal ecosystems. It is a multidisciplinary system designed to provide data in forms and at rates required by decision makers to address seven societal goals.

IOOS is developing as a multi-scale system that incorporates two, interdependent components, a global ocean component, called the Global Ocean Observing System, with an emphasis on ocean-basin scale observations and a coastal component that focuses on local to Large Marine Ecosystem (LME) scales. Large Marine Ecosystems (LMEs) in U.S. coastal waters and IOOS Regional Associations.

The coastal component consists of Regional Coastal Ocean Observing Systems (RCOOSs) nested in a National Backbone of coastal observations. From a coastal perspective, the global ocean component is critical for providing data and information on basin scale forcings (e.g., ENSO events), as well as providing the data and information necessary to run coastal models (such as storm surge models).

Alaska Ocean Observing System AOOS
Central California Ocean Observing System CeNCOOS
Great Lakes Observing System GLOS
Gulf of Maine Ocean Observing System GoMOOS
Gulf of Mexico Coastal Ocean Observing System GCOOS
Pacific Islands Ocean Observing System PacIOOS
Mid-Atlantic Coastal Ocean Observing Regional Association MACOORA
Northwest Association of Networked Ocean Observing Systems NANOOS
Southern California Coastal Ocean Observing System SCCOOS
Southeast Coastal Ocean Observing Regional Association SECOORA
Caribbean Integrated Ocean Observing System CarICOOS

https://ioos.noaa.gov/

 IOOS GitHub Pages

Projects

• IOOS Catalog of Services and Datasets
• System Integration Test
• IOOS ncSOS
• i52N and related activities like sensor web harvesters

Guidelines and specifications

• DMAC Implementation Guidelines for Data Providers
• IOOS Service Registration Guidelines
• IOOS Configuration Management
• SOS Guidelines
• netCDF and/or OPeNDAP guidelines
• Data encoding in CSV/TSV
• Asset Identifiers
• Vocabularies
• Data Services for Animal Telemetry
• Biological Data Services

 Data Demo Center

The IOOS Notebook Gallery is a collection of tutorials and examples of how to access and utilize the many IOOS technologies and data sources available. This site is geared towards scientists and environmental managers interested in “diving deep” into the numbers and creating orginal plots and data analysis. Most notebooks will be examples using Python code. Over time, we plan to include notebooks with Matlab, R, and Arc GIS code as well. The notebooks will come from a variety of authors including IOOS Program Office Staff, Regional Association data managers, and other IOOS partners.

1. Installing the IOOS conda environment
2. Opening netCDF files - hints from AODN
3. Unidata Jupyter notebook gallery
4. Extracting and enriching OBIS data with R
5. USGS-R examples

http://ioos.github.io/notebooks_demos/