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Water Data and Modeling ServicesPresented by: Fernando Salas1 and Cindy Hooper21Center for Research in Water ResourcesUniversity of Texas at Austin2Texas Commission on Environmental QualityOctober 14th, 2013Drought Forum III: Droughts and Other Extreme Weather EventsCenter for Integrated Earth System ScienceUniversity of Texas at AustinAcknowledgements: David Maidment, Kathy Alexander, Tim Whiteaker
Drought Severity in Texas200020022004200620082010thStatewide Reservoirs 60% full as of October 14 , 20132012
Drought in San Antonio andGuadalupe River Basins
TCEQ Watermaster Operations 750 Water Right Holders
Integration of GIS and Time Series
InputsWater Web Services esModelingServicesMappingServicesModelsMapsOutputs
Consortium of Universities for theAdvancement of Hydrologic Science, Inc.www.cuahsi.orgCUAHSIA consortium representing 125 US universitiesDr. Richard Hooper, President and CEOSupported by the National ScienceFoundation Earth Science DivisionAdvances hydrologic science innation’s universitiesIncludes a Hydrologic InformationSystem projectInvented WaterML language forwater resources time seriesBuilding an academic prototype system
WaterML – the US Geological SurveyWater time series data on the internet24/7/365 serviceFor daily and real-time data. . . Operational water web services system for the United Stateshttp://waterservices.usgs.gov/nwis/iv?sites 08158000&period P1D¶meterCd 00060
Water Operations ModelIntegrating Water ObservationsWater OperationsWater Models
Water Operations Model ‐ Layers Observations– USGS near real‐time streamflow (15 min) Operations– TCEQ real‐time water diversions (irregular) Models– NWS real‐time surface runoff (1 hour)– CRWR streamflow (3 hour)
Water Information System Kisters (WISKi) A database solution for managing time series data Interface like a GIS but for time series Create WaterML data services using Kisters WebInteroperability Solution (KiWIS)Each TimeSeriesBecomes aData Service
Observations: USGS Streamflow36 StationsData ServiceMap Service
Operations: TCEQ Water DiversionsMap ServiceData Service
Water Operations Model Layers Observations– USGS near real‐time streamflow (15 min) Operations– TCEQ real‐time water diversions (irregular) Models– NWS real‐time surface runoff (1 hour)– CRWR streamflow (3 hour)
Land-Surface ModelingForcing:RadiationPrecipitationSurface climateEvaporationSoil MoistureRunoffRechargeObservationsDatasets, NumericalWeather ModelSoilVegetationTerrain10 day moving windowDomainSpaceTimeSan Antonio/GuadalupeForecastbasin1 hour/6 hourLand Surface ModelDeduction:Given these forcing and land surface conditionsThen, using a land surface simulation modelDerive surface moisture and energy balance
Models: NWS Surface Runoff47 Forecast BasinsMap ServiceData Service
Flow in the San Antonio/Guadalupe BasinRAPID model, 3 hour time stepshttp://www.ucchm.org/david/rapid.htmDavid et al. (2011) DOI:10.1175/2011JHM1345.1GIS data describes 5,175 river reaches . . . . . simulate flow in each reach in each time step
Can the HUB inform Models?.YES!Data Services to Model ServicesQuery HUB Requestallrelevantdataservicesfrom HUBPrepareModel Input CreateRAPIDrunoff filecontainingrunoff andwater usedataRun RAPIDModel CallRAPIDmodelserviceatUIUCProcessResults ParseRAPIDmodelresultsand storein WiskiMap Resultsin GIS Createwebservice foreachNHDPlusriverreach
Transform NWS data from 47 forecast points to 5,175NHDPlus Catchments and River ReachesLegendNHDPlus CatchmentNWS Subbasin
Computing Inputs for RAPID Model
Models: CRWR Streamflow5,175 River ReachesData ServiceMap Service
Correcting for Bias and Model ErrorGuadalupe River at Spring Branch250Streamflow (cfs)200ObservationModel1501005002/15/13 0:003/7/13 0:003/27/13 0:004/16/13 0:005/6/13 0:00Time5/26/13 0:006/15/13 0:007/5/13 0:00
Correcting for Bias and Model ErrorModel Error vs. USGS 0150Observed Streamflow (cfs)200250
Correcting for Bias and Model ErrorGuadalupe River at Spring Branch250Streamflow (cfs)200ObservationModel1501005002/15/13 0:003/7/13 0:003/27/13 0:004/16/13 0:00 5/6/13 0:00Time5/26/13 0:006/15/13 0:007/5/13 0:00
InputsWater Web Services esModelingServicesMappingServicesModelsMapsOutputs
Land Surface Calculations for TexasLand surface featuresNLDAS atmospheric forcingSoiltypeNoah‐MPland ionModeloutputSurface runoffSub-surface runoffSoil moistureEvapotranspirationWater table TemperaturePrecipitationWind speedSpecific humiditySurface pressureDownward SW radiationDownward LW radiation
Data Rods for Land Surface ModelsTime series at everypoint
“Data Rods”for Texas201220112010April 25, 2013Surface RunoffEvaporationSoil MoistureIn Texas
GRACE and Texas Soil Water StorageSoil water reservoir storage is closely correlated with the GRACE dataGrace SatellitesNormalTexas had a 100 Km3 total water deficitSoil Water in top 1mNormaland an 8.4 Km3 deficit in3 reservoir water storageOf this 45 Km is in top 1 m of soil
Conclusions Texas Water Resource Information System Continuously updated, synoptic-scale picture of the waterconditions of our state Need statistics from the past, current conditions and predictionsto understand water and climate Web-linked water data and modeling services from manysources
Geotemporal Framework for Water Data
Water Operations Model Workflow
Water Operations Model Architecture
Integration of GIS and Time Series. Inputs Water Web Services HUB Observation Data Services Geospatial Data Services Models Modeling Services Data Services Mapping Services Maps Outputs Data Services Map Services USGS TCEQ NWS GBRA SARA. www.cuahsi.org Consortium of Universities for the Advancement of Hydrologic Science, Inc.
