Na#onal Flood Interoperability Experiment: Leveraging Na+onal Hydrography Dataset to explore the future of flood forecas+ng
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1 Na#onal Flood Interoperability Experiment: Leveraging Na+onal Hydrography Dataset to explore the future of flood forecas+ng Edward Clark Office of the Na#onal Water Center NOAA Na#onal Weather Service May 21, 2015
2 Goals National Flood Interoperability Experiment Close the gap between national flood forecasting and local emergency response - Impact at the street level Create real-time flood information services - Shared among organizations, geographies, people Engage academic community through the National Water Center - Innovation for transformative change - Glimpse the future of hydrologic forecasting
3 Why People On Average, more people die annually from flooding than from any other form of natural disaster Spatial Distribution of Flood Fatalities (source: NWS StormDat) Low water crossing
4 Why Cost More cost to federal government from flooding than any other form of natural disaster Cumula&ve)Damages))($)Billions 2 )) $900"" $800"" $700"" $600"" $500"" $400"" $300"" $200"" $100"" $0"" National Flood Loss 1 Na&onal)Flood)Loss 1) Water Water)Year)1903)A)2013) Year Δ=$300"B" Δ=2538" 18000" 16000" 14000" 12000" 10000" 8000" 6000" 4000" 2000" 0" Cumula&ve)Fatali&es) Year) 1 Na/onal"Weather"Service"Hydrologic"Informa/on"Center"( 2 Damages"are"adjusted"for"infla/on"to"2013.""Damages"are"considered"to"be"minimum"es/mates." 7"
5 Why is NFIE a Use-case for Hydrography dataset Build a national high spatial resolution, near real-time river and stream model The National Hydrography Data provides the data infrastructure to facilitate next-generational hydrologic modeling Adopting NHDPlus as the frame work for data conflation facilitates interoperability across the federal water enterprise Provides a common frame of reference for research and academic communities
6 Why Transform the NOAA and NWS Forecasting paradigm Forecasts produced by River Forecasts - Current system 3600 locations - NFIE system 2.67 million locations 700 #mes more New Information to help emergency managers to save lives and keep people safe Current Proposed
7 National Available Hydrography Data allows the community to explore new concepts 1. How can near-real-time hydrologic simulations at high spatial resolution, covering the nation, be carried out using the NHDPlus? 2. How can this lead to improved emergency response and community resilience? 3. How can an improved interoperability framework support the first two goals and lead to sustained innovation in the research to operations process? WRF-Hydro weather and land-atmosphere simulation RAPID modeling of flow in stream reaches of NHDPlus
8 National Flood Interoperability Experiment (NFIE): Five Components NFIE-Geo: National geospatial framework for hydrology NFIE-Response: Wide area planning for flood emergency response NFIE-Hydro: National high spatial resolution hydrologic forecasting NFIE-River: River channel information and real-time flood inundation mapping NFIE-Services: Web services for flood information
9 NFIE-Geo for National Flood Interoperability Experiment Enhanced geospatial database for a national water data infrastructure NFIE-Geo 9 feature classes 4 from NHDPlus 4 from IWRSS NWS Basins and Forecast Points USGS Water Watch Points National Flood Hazard Layer Feature classes: NHDPlusV2 Subwatershed (HUC12) Catchment Flowline Waterbody
10 National Flood Interoperability Experiment (NFIE) Component Two: NFIE-Hydro NFIE-Geo: National geospatial framework for hydrology NFIE-Response: Wide area planning for flood emergency response NFIE-Hydro: National high spatial resolution hydrologic forecasting NFIE-River: River channel information and real-time flood inundation mapping NFIE-Services: Web services for flood information
11 Forecasting Model Components Impacts Weather model and forecasts Weather Precipita6on Streamflow Runoff Land- Atmosphere Model Channel flow rou6ng (for all con6nental US)
12 Flood risk zones Each catchment has its own flood hazard zone (FEMA National Flood Hazard Layer flood forecast + impacts define risk Color the zones according to risk Provides flood warning at stream and street level High Medium Normal
13 Extend to a comprehensive solution Dynamic flood modeling, forecasting and inundation mapping in space and time Requires LIDAR terrain data so can only be done for particular regions
14 Interoperability enabled by web services enables us to establish a system combining multiple components Web Maps in ArcGIS.com
15 Interoperability enabled by web services enables us to establish a system combining multiple components Files in beta.hydroshare.org
16 Explore Dissemination
17 NFIE Summer Ins-tute Plan Establish a baseline end to end model 2 week boot camp at beginning Form teams to focus on improving specific components Itera6ve refinement Metrics to quan6fy efficacy Daily flood briefing Report results weekly Capstone event 3rd CUAHSI conference on HydroInforma6cs, "Model and Data Interoperability: From Theory to Prac6ce" July 15-17, Tuscaloosa Alabama. h]ps://
18 National Flood Interoperability Experiment: NWS Perspective Community Ini6a6ve: private sector, academia, federal agencies Demonstrate ini6al set of water data services using community standards Demonstrate the future real #me flood simula#on and mapping using cuang edge tools and techniques Prototype a project- based interdisciplinary educa#on model for emerging scien6sts and technologists Semester curricula and NWC Summer Ins6tute
19 Scientific excellence and innovation driving water prediction and decisions for a water-resilient nation. Collaborative R&D, Operations Support River Forecast Centers through robust data service Support mission- oriented research and development a catalyst for engagement with Academia Proving Ground Facility Science and Technology Transition RESEARCH Interagency Staffing OPERATIONS 19
20 20 Thank You Contact:
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