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Ven Te Chow Award Lecture
David R. Maidment
ASCE EWRI World ConferencePalm Springs, 24 May 2011
Ven Te Chow, 1919-1981
• On the faculty of the University of Illinois 1951-1981
• I was a graduate student there in the Hydrosystems Laboratory from 1972-1976– MS 1974– PhD 1976
• Ven Te Chow was my graduate advisor
• Dedicated to Ven Te Chow
• Scholar, Teacher, Author, Friend
Handbook of Hydrology
The University of Texas at Austin
• Department of Civil, Architectural and Environmental Engineering faculty, 1981 to present
• Director of the Center for Research in Water Resources, 1997 to present
2002 2011
2007 2009
LIDAR Data Collection
2010
Image: Roberto GutierrezUT Center for Space Research
$20 million per year for data collection
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• CUAHSI is a consortium representing 125 US universities
• Supported by the National Science Foundation Earth Science Division
• Advances hydrologic science in nation’s universities
• Includes a Hydrologic Information System project
http://www.cuahsi.org
RainfallWater quantity
Meteorology
Soil water
Groundwater
We Collect Lots of Water Data
Water quality
The Data have a Common Structure
A point location in space A series of values in time
Gaging – regular time seriesSampling – irregular time series
Catalog(Google)
Web Server(CNN.com)
Browser(Firefox)
Access
Catalog harvestSearch
How the web works
HTML – web language for text and pictures
Catalog
Server UserData access
Service re
gistration
Search
Services-Oriented Architecture for Water Data
Catalog harvest
WaterML – web language for water data
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Colorado River at Austin
http://waterservices.usgs.gov/nwis/iv?sites=08158000&period=P7D¶meterCd=00060
I accessed this WaterML service from USGS at 12:02AM this morning
and got back these flow data from USGS which are up to 11:00PM Central time
USGS provides this service at 22,000 locations in the US
Meets every 3 months
Teleconferences most weeks
WaterML Version 2 standard proposed
Jointly with World Meteorological Organization
Evolving WaterML into an International Standard
November 2009 Hydrology, Meteorology, Climatology, and Oceanography
CUAHSI Water Data Services Catalog
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66 public services18,000 variables1.9 million sites23 million series
5.1 billion data valuesAnd growing
The largest water datacatalog in the world
maintained at the San Diego Supercomputer Center
Organize Water Data Into “Themes”
Integrating Water Data Services From Multiple Sources
. . . Across Groups of Organizations
Wat
erM
L
Wat
erM
L
Wat
erM
L
Wat
erM
L
Wat
erM
L
Dissolved Oxygen
5 services18 variables10,823 sites21,655 series930,571 records
Flash flood information
USGS
LCRA
NWS
COA
NDFD
Web Services HUBInputs
Data Services
(WaterML)
MappingServices
Models
Flood MappingServices
Maps
Outputs
ModelingServices
Data and Mapping Services
Data Services
(WaterML)
MappingServices
Thank you to America
for giving me an opportunity