data management data assimilation and modeling n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Data Management, Data Assimilation and Modeling PowerPoint Presentation
Download Presentation
Data Management, Data Assimilation and Modeling

Loading in 2 Seconds...

play fullscreen
1 / 52

Data Management, Data Assimilation and Modeling - PowerPoint PPT Presentation


  • 84 Views
  • Uploaded on

Water Availability. Data Management, Data Assimilation and Modeling. David R. Maidment Director, Center for Research in Water Resources University of Texas at Austin Presented at Subcommittee on Water Availability and Quality National Science and Technology Council

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Data Management, Data Assimilation and Modeling' - nona


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
data management data assimilation and modeling

Water Availability

Data Management, Data Assimilation and Modeling

David R. Maidment

Director, Center for Research in Water Resources

University of Texas at Austin

Presented at Subcommittee on

Water Availability and Quality

National Science and Technology Council

Washington DC, April 12, 2007

water availability
Water Availability in Texas

Water Availability in Australia

Water Use in the United States

National Monitoring and Modeling System

Water Availability
water availability1
Water Availability in Texas

Water Availability in Australia

Water Availability in the United States

National Monitoring and Modeling System

Water Availability
water availability in texas
Water Availability in Texas
  • 1996 Texas drought
    • Governor Bush asks “how much water do we have? How much are we using? How much do we need?” -- Ooops. No good answers!
  • 1997 Senate Bill 1 passed by Legislature
    • Regionalizes water planning in Texas and establishes surface water availability modeling
  • 2001 Senate Bill 2 passed by Legislature
    • Establishes groundwater availabilitymodeling and initiates instream flow assessment
improvements from senate bill 1 water modeling and planning
Improvements from Senate Bill 1:Water Modeling and Planning
  • Before Senate Bill 1, water planning was done state-wide by TWDB
  • SB1 established 14 water planning regional groups, who are now responsible for planning water supply in their area

Water Availability Modeling

(TNRCC)

improvements from senate bill 1 water availability modeling

Sulphur

Brazos

Trinity

Colorado

Rio Grande

City of Austin

Nueces

Improvements from Senate Bill 1: Water Availability Modeling

8000 water right

locations

23 main river

basins

Inform every permit holder of the

degree of reliability of their withdrawal

during drought conditions (TCEQ)

water rights in the sulphur basin
Water Rights in the Sulphur Basin

Water right location

Stream gage location

Drainage areas delineated from

Digital Elevation Models are used to estimate flow at water right locations based on flow at stream gage locations

crwr mission for senate bill 1
CRWR Mission for Senate Bill 1
  • CRWR (UT Austin) aids in the response to Senate Bill 1 by providing to TNRCC watershed parameters defined from geospatial data for each water right location
  • These data are input by TCEQ contractors to a Water Rights Assessment Package (developed at TAMU) which determines the % chance that the water will actually be available at that location
  • TCEQ sends theownerof the water right a letter specifying the availability of water
water availability maps and charts from wrap model output
Water Availability Maps and Charts (from WRAP model output)

Plot a graph for a space point

Plot a map for a time point

Space-Time Datasets

Space

Time

A set of variables ……

texas summary
Texas Summary
  • A state-wide geospatial data system
  • Monthly simulation models for surface and groundwater availability for major river basins and aquifers
  • Challenges
    • Surface and groundwater are modeled independently
    • Modeling is not “real-time”
water availability2
Water Availability in Texas

Water Availability in Australia

Water Use in the United States

National Monitoring and Modeling System

Water Availability
slide15

Space-Time Datasets

CUAHSI Observations Data Model

Sensor and laboratory databases

australia summary
Australia Summary
  • Prime Minister Howard has established a 10-year, $10 billion plan for “water security”
  • Includes $480 million for an Australian Water Resources Information System
  • Rob Vertessy will lead this effort
  • Focus on water use: “You can’t manage what you don’t measure”
water availability3
Water Availability in Texas

Water Availability in Australia

Water Use in the United States

National Monitoring and Modeling System

Water Availability
state water use databases survey undertaken with the assistance of usgs water use specialists
Category 1 (10 states)

Arkansas, Delaware, Hawaii, Indiana, Kansas, Louisiana, Massachusetts, New Jersey, New Hampshire, Vermont

Category 2 (12 states)

Alabama, Illinois, Maryland, Minnesota, Mississippi, New Mexico, North Dakota, Ohio, Oklahoma, Oregon, Utah, Virginia

Category 3 (28 states + PR)

Alaska, Arizona, California, Colorado, Connecticut, Florida, Georgia, Idaho, Iowa, Kentucky, Maine, Michigan, Missouri, Montana, Nebraska, Nevada, New York, North Carolina, Pennsylvania, Puerto Rico, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Washington, West Virginia, Wisconsin, Wyoming

State Water Use Databases - Survey undertaken with the assistance of USGS water use specialists

Monthly data on surface and groundwater

with all diversion points known

Annual data

A mixture

Category

1

2

3

arkansas site specific water use database
Arkansas Site-Specific Water-Use Database

~50,000

points with

monthly water

withdrawal

estimates

surface and groundwater points
Surface and Groundwater Points

Surface water: 5,600 points

Groundwater: 39,100 points

Data are reported to AWSCC in acre-ft per month or year

Data are reported to USGSnational summary in MGD

number of samples required arkansas irrigation from groundwater

Random sampling:

Number of Samples RequiredArkansas, irrigation from groundwater

Total use = 5,492,730 MG

Desired standard error = 549,273 MG

requires 111 samples

national water use databases
National Water-Use Databases

EPA SDWIS Public Water Supply Surface Water Intakes (Marilee Horn, USGS)

Economic and Population Data

(Bureau of Economic Analysis)

Industrial

wastewater

dischargers.

(T. Dabolt,

EPA)

us water use summary
US Water Use Summary
  • Water use data varies widely by state
  • Stratified random sampling is very efficient, especially for irrigation water use from groundwater
  • Large national datasets of withdrawal and discharge points to surface waters exist at EPA
water availability4
Water Availability in Texas

Water Availability in Australia

Water Use in the United States

National Monitoring and Modeling System

Water Availability
reach attributes
Slope

Elevation

Mean annual flow

Corresponding velocity

Drainage area

% of upstream drainage area in different land uses

Stream order

Reach Attributes
groundwater wells in usgs national water information system nwis
Groundwater Wells in USGS National Water Information System (NWIS)

1,122,738 wells (CUAHSI catalog not complete yet)

wells in arizona
Wells in Arizona

Arizona Groundwater Site Inventory

(ADWR-USGS)

Arizona Well Registry

(ADWR)

43,016 wells

33,868 wells

nwis arizona wells
NWIS + Arizona wells

Build a federated National Wells Information System

hydrologic science
Hydrologic Science

It is as important to represent hydrologic environments precisely with data as it is to represent hydrologic processes with equations

Physical laws and principles

(Mass, momentum, energy, chemistry)

Hydrologic Process Science

(Equations, simulation models, prediction)

Hydrologic conditions

(Fluxes, flows, concentrations)

Hydrologic Information Science

(Observations, data models, visualization

Hydrologic environment

(Dynamic earth)

slide38

National Hydrologic Information System

The CUAHSI Hydrologic Information System (HIS) is a geographically distributed network of hydrologic data sources and functions that are integrated using web services so that they function as a connected whole.

observation stations
Observation Stations

Map for the US

Ameriflux Towers (NASA & DOE)

NOAA Automated Surface Observing System

USGS National Water Information System

NOAA Climate Reference Network

observations catalog
Observations Catalog

Specifies what variables are measured at each site, over what time interval,

and how many observations of each variable are available

point observations information model
Point Observations Information Model

http://www.cuahsi.org/his/webservices.html

USGS

Data Source

Streamflow gages

Network

Neuse River near Clayton, NC

Sites

Discharge, stage

(Daily or instantaneous)

Variables

Values

206 cfs, 13 August 2006

{Value, Time, Qualifier}

  • A data source operates an observation network
  • A network is a set of observation sites
  • A site is a point location where one or more variables are measured
  • A variable is a property describing the flow or quality of water
  • A value is an observation of a variable at a particular time
  • A qualifier is a symbol that provides additional information about the value
waterml and wateroneflow

Locations

Variable Codes

Date Ranges

WaterML and WaterOneFlow

STORET

Data

GetSiteInfo

GetVariableInfo

GetValues

Data

NAM

NWIS

WaterML

Data

WaterOneFlow

Web Service

Data

Repositories

Client

EXTRACT

TRANSFORM

LOAD

WaterML is an XML language for communicating water data

WaterOneFlow is a set of web services based on WaterML

slide43

Data Sources

NASA

Storet

Ameriflux

Unidata

NCDC

Extract

NCAR

NWIS

Transform

CUAHSI Web Services

Excel

Visual Basic

ArcGIS

C/C++

Load

Matlab

Fortran

Access

Java

Applications

http://www.cuahsi.org/his/

Some operational services

his server and analyst
HIS Server and Analyst

HIS Server

HIS Analyst

Implemented at San Diego Supercomputer Center and at academicdepartments and research centers

Implemented by individual hydrologic scientists using their own analysis environments

Web

Services

Flexible – any operating system, model,

programming language or application

Sustainable – industrial

strength technology

http://www.cuahsi.org/his/webservices.html

Details of HIS Analyst are here

Animation

data cube
Data Cube

A simple data model

Time, T

“When”

D

“Where”

Space, L

Variables, V

“What”

continuous space time model netcdf unidata
Continuous Space-Time Model – NetCDF (Unidata)

Time, T

Coordinate

dimensions

{X}

D

Space, L

Variable dimensions

{Y}

Variables, V

north american regional reanalysis of climate
North American Regional Reanalysis of Climate

Evaporation

Precipitation

Variation during the day, July 2003

NetCDF format

mm / 3 hours

discrete space time data model archydro
Discrete Space-Time Data ModelArcHydro

Time, TSDateTime

TSValue

Space, FeatureID

Variables, TSTypeID

openmi conceptual framework

Time, T

D

Space, L

Variables, V

OpenMI Conceptual Framework

Interconnection of dynamic simulation models

VALUES

€10 million project sponsored by European Commission

hydrologic flux coupler
Hydrologic Flux Coupler

Define the fluxes and flows associated with each hydrovolume

Evaporation

Precipitation

Streamflow

Groundwater recharge

slide52

Continental Water Dynamics Model

Use 50,000 processor supercomputer

to determine flow simultaneously in 2.3 million reaches and water bodies of the United States and update using real-time measurements