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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

  • 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


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CUAHSI Hydrologic Information Systems


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1. Hydrologic Observations Database

Hydrologic

System

Sampling

Sensing

Transmission

Recording

Laboratory Analysis

Transmission

Recording

Editing

Storage

Off-Site

Measurement

On-Site

Measurement

Retrieval


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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)


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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


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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


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Digital Watershed:An implementation of the CUAHSI Hydrologic Data Model for a particular region

Created first for the Neuse basin


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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


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http://neuse.crwr.utexas.edu/

ArcIMS Web Server displaying data

compiled in Neuse HO Planning Study


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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


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Neuse Basin: Coastal aquifer system

Section line

Beaufort Aquifer

* From USGS, Water Resources Data Report of North Carolina for WY 2002











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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?


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NCDC Rain Gages(historical daily rainfall data)


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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


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Time Coordination

UTC = Coordinated Universal Time

= Greenwich Mean Time (GMT)

We are 6 hours behind UTC when on Central

Standard Time




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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?




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http://www.unidata.ucar.edu/

Integrated Data Viewer –

viewer for climate and weather information


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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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