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CE 394K.2 Surface Water Hydrology

CE 394K.2 Surface Water Hydrology. Lecture 1 – Introduction to the course Readings for today Applied Hydrology, Chapter 1 “Integrated Observatories to support Integrated Environmental Science” by L. Douglas James, NSF. CUAHSI Hydrologic Information Systems.

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CE 394K.2 Surface Water Hydrology

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  1. CE 394K.2 Surface Water Hydrology • Lecture 1 – Introduction to the course • Readings for today • Applied Hydrology, Chapter 1 • “Integrated Observatories to support Integrated Environmental Science” by L. Douglas James, NSF

  2. CUAHSI Hydrologic Information Systems

  3. 1. Hydrologic Observations Database Hydrologic System Sampling Sensing Transmission Recording Laboratory Analysis Transmission Recording Editing Storage Off-Site Measurement On-Site Measurement Retrieval

  4. 2. Hydrologic Representation Hydrologic Observation Data Geospatial Data (GIS) (Relational database or delimited ascii) Digital Watershed Remote Sensing Data Weather and Climate Data (EOS-HDF) (NetCDF)

  5. 3.Hydrologic Analysis Statistics and Hypothesis Testing Hydrologic Process Modeling Digital Watershed Visualization Data Mining and Knowledge Discovery Our major focus will be on the computation of water balances

  6. Hydrologic Data Model Hydrologic Fluxes and Flows Digital Watershed(Atmospheric, surface and subsurface water) We need to represent the physical environment and water flowing through it

  7. Digital Watershed:An implementation of the CUAHSI Hydrologic Data Model for a particular region Created first for the Neuse basin

  8. Customization of ArcGIS for water resources. Public domain data model and toolset Stores time series as well as geospatial data Attach remote sensing and climate model files using links Integrate data into a coherent space-time framework Arc Hydro: Geodatabase model for water resources

  9. http://neuse.crwr.utexas.edu/ ArcIMS Web Server displaying data compiled in Neuse HO Planning Study

  10. Unidata: Atmospheric Science Precipitable water in the atmosphere Cross-section of relative humidity Wind vectors and wind speed (shading) Images created using Unidata’s Integrated Data Viewer (IDV) Unidata delivers real-time weather data including Nexrad to more than 100 universities

  11. Neuse Basin: Coastal aquifer system Section line Beaufort Aquifer * From USGS, Water Resources Data Report of North Carolina for WY 2002

  12. San Marcos Basin

  13. USGS Stream Gaging Stations

  14. 922 km2

  15. 1071 km2

  16. 290 km2

  17. 125 km2

  18. 2178 km2

  19. Downloaded Stream Gage Data

  20. Surface and Groundwater Flow

  21. Issues • Does the streamflow per unit area varying by location in the basin? • What is the residence time for surface water flow in the basin? • What is the residence time for groundwater flow draining out at San Marcos springs? • Can we meaningfully separate surface and groundwater flow?

  22. NCDC Rain Gages(historical daily rainfall data)

  23. Real-time Radar rainfall data http://www.srh.noaa.gov/radar/latest/DS.p19r0/si.kewx.shtml Station KWEX Austin-New Braunfels Radar reflectivity in DBZ Ground clutter

  24. Time Coordination UTC = Coordinated Universal Time = Greenwich Mean Time (GMT) We are 6 hours behind UTC when on Central Standard Time

  25. http://setiathome.ssl.berkeley.edu/utc.html

  26. http://www.srh.noaa.gov/wgrfc/

  27. Issues • How accurate is radar precipitation estimation? • How can we get the data? • How do we archive the data since the files are so large? • Can we use these data to make reasonable water balances with streamflow?

  28. http://wwwt.emc.ncep.noaa.gov/mmb/rreanl/index.html

  29. Forecast Precipitation and Weather from the ETA Model http://coolwx.com/ptype/

  30. http://www.unidata.ucar.edu/ Integrated Data Viewer – viewer for climate and weather information

  31. Issues • Can we get weather and climate grids from these data sources? • Can we incorporate these data into computed water balances? • Is this a reasonable way to account for evaporation? • How does climate model preciptation compare with Nexrad?

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