National Flood Interoperability Experiment
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1 National Flood Interoperability Experiment David R. Maidment, University of Texas at Austin Catchment-based Hydrological Data Assimilation (CAHMDA) VI Conference 8 September 2014
2 Located on Tuscaloosa Campus of University of Alabama Operated by National Weather Service to support IWRSS partners (NWS, USGS, Corps of Engineers, FEMA)
3 Integrated Water Resources Science and Services (IWRSS) Aligns multiple agencies with complimentary waterrelated missions to: Integrate services and service delivery Improve river and flood forecasts Provide new summit-to-sea water resources analyses and forecasts Enable more effective use of resources Roadmap Document (February 2009) Slide: Ed Clark, NWS
4 NWS River Forecast Centers Perform precipitation, runoff and river flow simulation and forecasting for five days ahead, updated daily, more frequently during floods
5 Nationally Synthesize Operations of Regional River Forecast Centers
6 9/15/2014 PRE-DECISIONAL - DO NOT DISTRIBUTE 6 Inaugural Meeting May, 2014
7 Temporal information Geospatial information National Water Data Infrastructure
8 Transformative Research (NSF) Transformative research involves ideas, discoveries, or tools that radically change our understanding of an important existing scientific or engineering concept or educational practice or leads to the creation of a new paradigm or field of science, engineering, or education. Such research challenges current understanding or provides pathways to new frontiers. How to move from evolutionary change to transformative change?
9 National Flood Interoperability Experiment (NFIE) Will be led by the academic community in collaboration with the IWRSS partners through the National Water Center Run from September 2014 to August Preparatory phase to May Summer Institute at the National Water Center, June to August 2015
10 NFIE Goal: Connect National Scale Flood Modeling with Local emergency planning and response 1. How can near-real-time hydrologic simulations at high spatial resolution, covering the nation, be carried out using the NHDPlus or next generation hydrofabric (e.g. data structure for hillslope, watershed scales)? 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? Slide: Ed Clark, NWS
11 NFIE Academic Centers (as at present) University of Illinois (Modeling) University of North Carolina (Data) University of Texas (Interoperability) University of Alabama (Emergency Response)
12 NFIE: Proposed Timeline Flash Flood Summit at the NWC Hydro Domain Working Group Fall NFIE Meeting Spring NFIE Meeting Summer Institute launch Summer Institute capstone Summer Institute Aug 14 Sep Mid-Oct Fall Semester Jan 15 Mar May Jun Spring Semester Summer Institute Subcommittee on Spatial Water Data and Open Water Data Initiative Slide: Ed Clark, NWS (pre-decisional)
13 Flood hydrology and response Flood Inundation Maps Flood hydrology and hydraulic data, models, forecasts Flood emergency response planning and action Forecast the flood elevation Determine and plan for flood impact
14 Halloween Flood, Onion Creek, Austin, Texas, October 2013 Upstream watershed 280 mi 2 (larger than the City of Austin) A flooded home location Watershed delineated using ESRI terrain services
15 FEMA Flood Hazard Zone
16 Mitigation and Response Flood Levels (FEMA) Mitigation (ft above NAVD88) (NWS) Response (Stage Height, ft) 500 yr yr yr yr yr yr yr 2 yr Major Flood Stage: 24 Moderate Flood Stage: 20 Flood Stage: 17 Action Stage: 15
17 Real-Time Flood Inundation Mapping (USGS/NWS) Use modeling to extend this concept to the whole country
18 NHDPlus Geospatial base for National Water Data Infrastructure NHDPlus (built ) National Elevation Dataset National Hydrography Dataset Watershed Boundary Dataset National Land Cover Dataset 3 million catchments average area 3 km 2, reach length 2 km
19 Rapid Model for flow on NHDPlus March to May 2008, 3 hour time steps David et al. (2011) DOI: /2011JHM GIS data describes 1.2 million river reaches simulate flow in each reach in each time step
20 Dynamic downscaling of NWS River Forecasts NWS River Forecast Centers NHDPlus Catchments in Subbasin ATIT2 NWS Flow Forecasts are dynamically downscaled onto the NHDPlus Catchments using the RAPID mode Forecast Subbasins for West Gulf River Forecast Center NWS Subbasin ATIT2
21 Linking NWS Flood Forecasts to FEMA National Flood Hazard Layer National Weather Service River Forecast Subbasins National Flood Hazard Layer Intersect NHDPlus Catchments with Flood Hazard Layer to get a flood warning zone for each catchment
22 Dynamic Downscaling of NWS River Forecasts to NHDPlus for Onion Creek NHDPlus NWS River Forecast Center basins
23 Water Map and Data Services RAPID Streamflow Calculations 47 NWS River Forecast basins downscaled to 5,175 NHDPlus catchments in San Antonio and Guadalupe basins Map Service Data Service
24 Integration of Map and Data Services Web Viewer Amazon Cloud (Map Services) MS Azure Cloud (Data Services)
25 Open Geospatial Consortium More than 400 companies and agencies globally Internet standards for Map services Observation services Catalog services
26 WaterML Web Services CUAHSI, USGS, OGC, WMO.. Water time series data on the internet 24/7/365 service For daily and real-time data... Operational water web services system for the United States
27 Water Data Distribution by US Geological Survey Web service requests (millions/month) Web page requests (millions/month)
28 Open Water Data Initiative Subcommittee on Spatial Water Data will lead this effort This reports to both FGDC and ACWI Anne Castle, Asst Secretary for Water and Science, Dept of Interior Chair
29 Open Water Data Components Open Water Web (applications) Open Water Data Infrastructure Flood Drought Water Pollution Ecological Integrity Concept: Nate Booth, USGS
30 National Flood Interoperability Experiment Data Framework Temporal Time Series (WaterML2 and.csv) Multidimensional Arrays (WCS and netcdf) Geospatial Hydrology (RFC Basins, NHDPlus Catchments) Hydraulics (National Flood Hazard Layer, Flood Inundation Map Libraries)
31 Develop NWS Experimental Data Services NWS CHPS Modeling Units: 12 CONUS RFCs Experimental distributed model (SAC-HTET) PI-XML to WaterML2 XMRG to NetCDF Export Data elements from the simulation workflow including: INFW Inflow to the Channel Mean Areal Precipitation (MAP) Reservoir Outflow (QINE) Slide: Ed Clark, NWS (pre-decisional) Data Services local runoff
32 National Flood Interoperability Experiment Data Framework Temporal Time Series (WaterML2 and.csv) Multidimensional Arrays (WCS and netcdf) Geospatial Hydrology (RFC Basins, NHDPlus Catchments) Hydraulics (National Flood Hazard Layer, Flood Inundation Map Libraries)
33 Iowa Flood Information System Established after 2008 Iowa Flood
34 Spencer Humboldt Fort Dodge Mason City Waverly CF/Waterloo Charles City Independence Elkader To develop hydrologic models for physically based flood frequency estimation and real-time forecasting of floods, including hydraulic models of flood plain inundation mapping. Ames Cedar Rapids Cedar Rapids Maquoketa Des Moines Iowa City Hills Columbus Junction Humboldt Fort Dodge Ottumwa Independence Maquoketa Waverly Columbus Junct Hills Cedar Rapids Elkader Mason City Ottumwa Spencer Ames Des Moines Cedar Falls & Waterloo Iowa City Charles City Today
35 Hydrography Hydrology Hydraulics Mapping
36
37 High resolution hydrologic modeling
38 State-wide coverage of high resolution modeling In NFIE use WRF-Hydro/RAPID to do this for CONUS
39 Install water level sensors on the back of bridges ($3000 per site)
40 Iowa has deployed 180 of these sensors Plans for 70 more Develop a National Flood Sensor Network
41 Conclusions National Water Center is being established in Tuscaloosa, Alabama Offers an opportunity to do things differently in the future than in the past National Flood Interoperability Experiment (Sept 2014 to August 2015) to explore how to do this for flooding All are welcome to participate Possible National Drought Interoperability Experiment in
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