EarthCube Building Block for
Integrating Discrete and
Continuous Data
(DisConBB)
NSF ICER-1343785
Duration: Sept 2013 - Aug 2015
PI: David Maidment, Univ of Texas at Austin
Co-Pis: Ethan Davis, Alva Couch, Dan Ames
Senior Personnel: David Arctur, Tim Whiteaker
http://earthcube.org/group/discrete-continuous-data-disconbb
EarthCube All Hands Meeting
Arlington VA, May 27-29, 2015
Discrete & Continuous Data: Initial Project Outline •  Discrete spa4al domains: GIS features (point, line and area) with observa/ons & measurements •  Con4nuous spa4al domains: Grids of measured or modeled variables in geophysical fluid sciences •  Spa/ally discrete or con/nuous data may also vary discretely or con4nuously in 4me: one-­‐%me samples vs. random points of %me vs. regularly spaced intervals of %me Precipita4on Common Informa%on Model + Data migra%on + Server & user tools Evapora4on Soil Moisture Streamflow Groundwater Reservoirs Phase 1: Describe water & atmospheric proper4es over a domain of space and 4me •  History •  Current condi/ons •  Forecasts Phase 2: Apply concepts and methods in other domains •  Solid Earth •  Cryosphere •  Oceans The Opportunity… •  New Na/onal Water Center established on the Tuscaloosa campus of University of Alabama by the Na/onal Weather Service and federal agency partners •  Has a mission to assess hydrology in a new way at the con/nental scale for the United State Use Case: National Flood Interoperability Experiment —  Close the gap between National Flood
Forecasting and Local Emergency Response
—  Demonstrate forecasting of flood impacts at
“stream and street level”
Na%onal Weather and Hydrology Na/onal Weather Service and federal agencies Na/onal Water Center River Flooding and Emergency Response Local Local, State and Regional Agencies Ci/zens NFIE Goal: Connect national scale flood modeling with local emergency planning and response 1.  How can near-­‐real-­‐/me hydrologic simula/ons at high spa/al resolu/on, covering the na/on, be carried out using the NHDPlus or next genera/on hydro-­‐fabric (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 innova/on in the research to opera/ons process? Slide: Ed Clark, NWS NFIE Conceptual Framework… NFIE-­‐Geo: Na/onal geospa/al framework for hydrology NFIE-­‐Response: Wide area planning for flood emergency response NFIE-­‐Hydro: Na/onal high spa/al resolu/on hydrologic forecas/ng NFIE-­‐River: River channel informa/on and real-­‐/me flood inunda/on mapping NFIE-­‐Services: Web services for flood informa/on NFIE-­‐Hydro Forecasting Models… Weather model and forecasts (HRRR) Probabilis/c flood forecasts 3km average Catchment-­‐level forecasts Weather Precipita/on Streamflow Runoff Land-­‐Atmosphere Model (WRF-­‐Hydro) RAPID flow rou/ng (for con/nental US) • 
• 
• 
• 
• 
LDM transfer THREDDS server 15 hour forecast 1 hour /me step 3 km grid cell Unidata HRRR Forecast NFIE Workflow Time (Hours) Stored every 3 hours THREDDS Server* One file for each forecast Pulled every 3 hours • 
• 
• 
15 hour forecast 1 hour /me step 3 km grid cell WRF-­‐
Hydro 15 0
Stored every 3 hours THREDDS Server* 3
6
Time (Hours) One .nc file for each forecast Run every 3 hours for each NFIE region Runoff weight table RAPID Streamflow Inunda4on Map Vulnerability/
Impact Stored every 3 hours One file for each 15 hour forecast divided by NFIE region THREDDS Server* Ra/ng curve of HEC-­‐RAS cross-­‐
sec/on closest to centroid of NHDPlus river reach Demographic data/ points of interest/ transporta/on system *OR some type of blob storage (e.g. IRODS?) so others can pull files quickly Runoff Downscaling Weights Table 540
541
542
210
209
HOW TO CONNECT GRIDDED INPUT RUNOFF
DATA (WRF-HYDRO) TO NHD-PLUS NETWORK
From: Deng Ding/Nawajish Noman (ESRI)
Transformative for the nation… —  Forecasts produced by
—  Current system –
3600 locations, no coastline, large gaps, multiple models
—  NFIE system –
2.67 million locations, all coastlines, single consistent model
—  New information to help emergency managers save lives
and keep people safe
Current Proposed Global Applications Rio YDS (Palo Alto, DR) Nicaragua Magdalena (Colombia) DisConBB Tools: Tethys Platform Developed by BYU for CI-Water (NSF project)
Python framework based on Django
Hydrological app dev – the future of HydroDesktop
Open source and commercial GIS integration
Github for dev; tutorial documentation
—  http://docs.tethys.ci-water.org/en/1.0.0/
—  HydroShare for apps distribution
—  http://tools.hydroshare.org/apps/
— 
— 
— 
— 
Thanks!
David Arctur
david.arctur AT utexas.edu