Water Data and Modeling Services

Transcription

1 Water Data and Modeling Services Presented by: Fernando Salas 1 and Cindy Hooper 2 1 Center for Research in Water Resources University of Texas at Austin 2 Texas Commission on Environmental Quality October 14 th, 2013 Drought Forum III: Droughts and Other Extreme Weather Events Center for Integrated Earth System Science University of Texas at Austin Acknowledgements: David Maidment, Kathy Alexander, Tim Whiteaker

2 Drought Severity in Texas Statewide Reservoirs 60% full as of October 14 th, 2013

3 Drought in San Antonio and Guadalupe River Basins

4 TCEQ Watermaster Operations ~ 750 Water Right Holders

5 Integration of GIS and Time Series

6 Inputs Water Web Services HUB Outputs Observation Data Services Geospatial Data Services USGS TCEQ GBRA NWS SARA Data Services Map Services Data Services Modeling Services Mapping Services Models Maps

7 Consortium of Universities for the Advancement of Hydrologic Science, Inc. CUAHSI A consortium representing 125 US universities Dr. Richard Hooper, President and CEO Supported by the National Science Foundation Earth Science Division Advances hydrologic science in nation s universities Includes a Hydrologic Information System project Invented WaterML language for water resources time series Building an academic prototype system

8 WaterML the US Geological Survey 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

9 Water Operations Model Integrating Water Observations Water Operations Water Models

10 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)

11 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 Web Interoperability Solution (KiWIS) Each Time Series Becomes a Data Service

12 Observations: USGS Streamflow 36 Stations Map Service Data Service

13 Operations: TCEQ Water Diversions Map Service Data Service

14 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)

15 Land-Surface Modeling Observations Datasets, Numerical Weather Model Soil Vegetation Forcing: Radiation Precipitation Surface climate Land Surface Model Deduction: Given these forcing and land surface conditions Then, using a land surface simulation model Derive surface moisture and energy balance Evaporation Soil Moisture Runoff Recharge 10 day moving window Terrain Domain Space Time San Antonio/ Guadalupe Forecast basin 1 hour/ 6 hour

16 Models: NWS Surface Runoff 47 Forecast Basins Map Service Data Service

17 Flow in the San Antonio/Guadalupe Basin RAPID model, 3 hour time steps David et al. (2011) DOI: /2011JHM GIS data describes 5,175 river reaches simulate flow in each reach in each time step

18 Can the HUB inform Models?..YES! Data Services to Model Services Query HUB Prepare Model Input Run RAPID Model Process Results Map Results in GIS Request all relevant data services from HUB Create RAPID runoff file containing runoff and water use data Call RAPID model service at UIUC Parse RAPID model results and store in Wiski Create web service for each NHDPlus river reach

19 Transform NWS data from 47 forecast points to 5,175 NHDPlus Catchments and River Reaches Legend NHDPlus Catchment NWS Subbasin

20 Computing Inputs for RAPID Model

21 Models: CRWR Streamflow 5,175 River Reaches Map Service Data Service

22 Correcting for Bias and Model Error Observation Model Guadalupe River at Spring Branch Streamflow (cfs) /15/13 0:00 3/7/13 0:00 3/27/13 0:00 4/16/13 0:00 5/6/13 0:00 5/26/13 0:00 6/15/13 0:00 7/5/13 0:00 Time

23 Correcting for Bias and Model Error 100 Model Error vs. USGS Observation 50 0 Error Observed Streamflow (cfs)

24 Correcting for Bias and Model Error Observation Model Guadalupe River at Spring Branch Streamflow (cfs) /15/13 0:00 3/7/13 0:00 3/27/13 0:00 4/16/13 0:00 5/6/13 0:00 5/26/13 0:00 6/15/13 0:00 7/5/13 0:00 Time

25 Inputs Water Web Services HUB Outputs Observation Data Services Geospatial Data Services USGS TCEQ GBRA NWS SARA Data Services Map Services Data Services Modeling Services Mapping Services Models Maps

26 Land Surface Calculations for Texas Land surface features Soil type Land cover Soil color Noah MP land surface model NLDAS atmospheric forcing Temperature Precipitation Wind speed Specific humidity Surface pressure Downward SW radiation Downward LW radiation Green vegetation fraction Model output Surface runoff Sub-surface runoff Soil moisture Evapotranspiration Water table

27 Data Rods for Land Surface Models Time series at every point

28 Data Rods for Texas April 25, Surface Runoff Evaporation Soil Moisture In Texas

29 GRACE and Texas Soil Water Storage Soil water reservoir storage is closely correlated with the GRACE data Grace Satellites Normal Texas had a 100 Km 3 total water deficit Soil Water in top 1m Normal and an 8.4 Km 3 deficit in reservoir water storage Of this 45 Km 3 is in top 1 m of soil

30 Conclusions Texas Water Resource Information System Continuously updated, synoptic-scale picture of the water conditions of our state Need statistics from the past, current conditions and predictions to understand water and climate Web-linked water data and modeling services from many sources

31 Geotemporal Framework for Water Data

32 Water Operations Model Workflow

33 Water Operations Model Architecture