The Roadmap to IOOS Story Template

Why Have a Roadmap to IOOS Story Template Roadmap to building understanding A unified way of telling a story (harmonizing, branding) on various levels with various focal angles: U.S.IOOS, Regional, National, theme-based, etc. Provides an opportunity to define terminology / start this dialog “Compartmentalizing” subjects: oulines “content bins” – a modular structure that allows to attend to content on a pieced basis, as resources permit. From:

Our planet is constantly changing. The connections between these changes and our oceans, coasts and Great lakes are complex and not fully understood. Advanced tools are required to understand and monitor our marine and Great Lakes environments. ** Contribute and improve decision making. Establish a networked infrastructure for data collection and management to measure physical, chemical, geological, biological variables for our coasts, ocean and Great Lakes. Provide variables for research and decision making community Understand and predict diverse ocean, coastal, and Great Lakes’ processes in order to mitigate and adopt to changes on our planet. Why How U.S. IOOS coordinates a network of people and technology that work together to generate and disseminate continuous data on our coastal waters, Great Lakes, and oceans. * IOOS PO + Partnerships * DMAC * Data Collection: Sensors, Platforms& Information * Modeling and Analysis * abc123 What data variables we make available: There are 26/7 variables that drive and feed data projects and products What Monitoring Water Quality Improving Search and Rescue Times Detecting Ocean Acidification Enhancing Oil Spill Response Products and Services Enhancing Lives and Livelihoods NOAA and Partners Serve Data to Revive Troubled West Coast Shellfish Industry Examples of affecting Lives and Livelihoods GLOS beach closure monitoring Sewage spill monitoring in Cali Predicting Severe Weather Understanding Climate Change patterns Forecasting Rip Current Conditions Reducing Public Health risks Forecasting Hazards Optimizing Maritime Operations Facts and Stats In 2008, productivity for Whiskey Creek was at 20% of it’s normal level; by 2010 it had risen to 70% U.S. Coast Guard SAROPS example1: Hudson River example2: abc123 Ingesting HF Radar data into U.S. Coast Guard SAROPS, the search area was decreased by 65% over 96 hours. Bird-eye View of IOOS Story Template

The IOOS Story Template Uncertainty, need, distress, issue effecting Lives and Livelihoods. Why How What Marine Obs: People need to be rescued, etc… Coastal Hazards: Storm waters, inundation, etc… Ecosys., Fish. WQ: Red Tide, water beach, etc… Climate Change: OA, Shellfish Fishery issue of some sort, etc… Collect Data, Observations (platforms, sensors, etc) (partnerships) Manage and Share Analysis, modeling, processing… Generate/Feed into Products and Services Specific to Marine Obs Specific to Climate Chng Specific to Cstl Hzrd Specific to Ecosys., Fish, WQ Examples Facts & Stats Interview w/end user Examples Facts & Stats Interview w/end user Examples Facts & Stats Interview w/end user Examples Facts & Stats Interview w/end user Specific to Marine Obs Specific to Climate Chng Specific to Cstl Hzrd Specific to Ecosys., Fish, WQ Theme-Based View of IOOS Story Template