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CUAHSI Hydrologic Information Systems. By David R. Maidment

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cuahsi hydrologic information systems

CUAHSI Hydrologic Information Systems

By David R. Maidment

With support from many collaborators: Ilya Zaslavsky, Reza Wahadj, Chaitan Baru, Praveen Kumar, Michael Piasecki, Rick Hooper, Jon Duncan, David Tarboton, Jeff Horsburgh, Venkat Lakshmi, Chunmaio Zheng, Xu Liang, Yao Liang, Ken Reckhow, Upmanu Lall, LeRoy Poff, Dennis Lettenmaier, Barbara Minsker, ……

And many graduate students and post-docs: Venkatesh Merwade, Tim Whiteaker, Jon Goodall, Gil Strassberg, Ben Ruddell, Luis Bermudez, Bora Boran, ……

Thanks to everyone for all their help!

environmental cyberinfrastructure
Environmental Cyberinfrastructure
  • Part of NSF Cyberinfrastructure program
  • CUAHSI Hydrologic Information Systems is one of several pilot projects – CUAHSI, CLEANER, ORION, NEON, …..
his status report available
See http://www.cuahsi.org/docs/HISStatusSept15.pdf

Summary of knowledge to date in the CUAHSI HIS project

Your comments and feedback are welcome: [email protected]

HIS Status Report Available
his goals
HIS Goals
  • Hydrologic Data Access System – better access to a large volume of high quality hydrologic data
  • Support for Observatories – synthesizing hydrologic data for a region
  • Advancement of Hydrologic Science – data modeling and advanced analysis
  • Hydrologic Education – better data in the classroom, basin-focused teaching
his goals7
HIS Goals
  • Hydrologic Data Access System – better access to a large volume of high quality hydrologic data
  • Support for Observatories – synthesizing hydrologic data for a region
  • Advancement of Hydrologic Science – data modeling and advanced analysis
  • Hydrologic Education – better data in the classroom, basin-focused teaching
his user assessment chapter 4 in status report
HIS User Assessment (Chapter 4 in Status Report)

Which of the four HIS goals is most important to you?

Data

Access

Observatory

support

Science

Education

cuahsi hydrologic data access system hdas
CUAHSI Hydrologic Data Access System(HDAS)

NCDC

NASA

EPA

NWS

USGS

Observatory Data

A common data window for accessing, viewing and downloading hydrologic information

national water information system
USGSNWIS website provides manual query and download capabilities for data at ~ 1.4 million locations in the US

CUASHI web services for NWIS provide automated query and download capabilities

National Water Information System

http://waterdata.usgs.gov/nwis

“Get the web pages out of the way”

nwis station information in hdas
NWIS Station Information in HDAS

http://river.sdsc.edu/HDAS

charting data in hdas
Charting Data in HDAS

Data Downloads

Executed Here

web services
Web Services

Web application: Data Portal

  • Your application
  • Excel, ArcGIS, Matlab
  • Fortran, C/C++, Visual Basic
  • Hydrologic model
  • …………….
  • Your operating system
  • Windows, Unix, Linux, Mac

Internet

Simple Open Access Protocol

Web Services

Library

cuahsi web services library for nwis
CUAHSI Web Services Library for NWIS

http://river.sdsc.edu/NWISTS/nwis.asmx

These web services are available now for you to use in your programming

utah state time series analyst developed by jeff horsburgh
Utah State Time Series Analyst(developed by Jeff Horsburgh)

http://water.usu.edu/nwisanalyst/

-- operates on CUAHSI web services

-- operates on local data for Neuse basin

http://water.usu.edu/analyzer/

slide17

http://public.ornl.gov/ameriflux/

Ameriflux site map

Building each web service

requires a site map and

a web services library

Ameriflux towers measure vertical fluxes

of water, heat, CO2

Web services library

slide19

Numerical Models

Prediction

HSPF

Sensor Arrays

NGDC

NWS

NCDC

USGS

NWIS

NCEP

Air-Q

MM5

Individual

Samples

Data Centers

Page 3

Description of Data

Michael Piasecki

is our expert on this

complex subject

METADATA

(see Chapter 5 of Status Report for details)

Drexel University, College of Engineering

cleaner cuahsi cybercollaboratory
CLEANER-CUAHSI Cybercollaboratory
  • A common portal for web applications resident at many locations
  • User support and feedback forums
  • Do collaborative research using shared tools and dialog with a group of scientists
  • CLEANER—CUAHSI joint projects

http://cleaner.ncsa.uiuc.edu/cybercollab/

Thanks to Barbara Minsker and NCSA for hosting this service for us

This service is still under development

his goals21
HIS Goals
  • Hydrologic Data Access System – get me the data I want quickly and painlessly
  • Support for Observatories – synthesizing hydrologic data for a region
  • Advancement of Hydrologic Science – data modeling and advanced analysis
  • Hydrologic Education – better data in the classroom, basin-focused teaching
digital watershed
Digital Watershed

How can hydrologists integrate observed and modeled data from various sources into a single description of the environment?

digital watershed23
Digital Watershed

Hydrologic

Observation

Data

Geospatial

Data

(GIS)

(Relational database)

Digital

Watershed

Remote Sensing

Data

Weather and Climate

Data

(EOS-HDF)

(NetCDF)

A digital watershed is a synthesis of hydrologic observation

data, geospatial data, remote sensing data and weather

and climate data into a connected database for a hydrologic region

hydrologic observations database
A relational database stored in Access, PostgreSQL, SQL/Server, ….

Stores observation data made at points

Repository for summary data from sensor networks

Access data through web interfaces

Hydrologic Observations Database

Streamflow

Groundwater

levels

Precipitation

& Climate

Soil

moisture

data

Water Quality

Flux tower

data

hydrologic observations data model draft version
Hydrologic Observations Data Model (Draft version)

Relationships

  • CUAHSI review conducted by David Tarboton with 22 responses
  • Redesign done by David and Jeff Horsburgh
digital watershed prototype for the neuse basin
Digital Watershed:Prototype for the Neuse basin

(See Chapter 8 in the Status Report for details)

neuse atmospheric water
Neuse Atmospheric Water
  • Daily precipitation data from NCDC gages
  • Nexrad daily rainfall rasters
  • Land surface – atmosphere fluxes from North American Regional Reanalysis of climate
neuse surface water
Streamflow, water quality hydrologic observational data

GIS: River network, water bodies, watersheds, monitoring points

Land cover, soils,

MODIS remote sensing (Praveen Kumar and Venkat Lakshmi)

Neuse Surface Water

MODIS

Terrain and Land Cover

neuse basin coastal aquifer system
Neuse Basin: Coastal aquifer system

Section line

Beaufort Aquifer

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

neuse groundwater
Neuse Groundwater

Geovolumes of hydrogeologic units

from US Geological survey (GMS)

geovolume 3d representation of the surface and subsurface
GeoVolume – 3D representation of the surface and subsurface

Geovolume

Geovolume with groundwater model cells

Geovolume of layered soil texture for the Neuse basin

his goals33
HIS Goals
  • Hydrologic Data Access System – better access to a large volume of high quality hydrologic data
  • Support for Observatories – synthesizing hydrologic data for a region
  • Advancement of Hydrologic Science – data modeling and advanced analysis
  • Hydrologic Education – better data in the classroom, basin-focused teaching
hydrologic science
Hydrologic Science
  • It is as important to represent hydrologic environments precisely with data as it is to represent hydrologic processes with equations
  • Hydrologic Process Science
    • Equations, simulation models, prediction,
  • Hydrologic Information Science
    • Digital watershed, data models, integration with data of neighboring disciplines

Hydrologic information science supports

hydrologic process science

hydrovolumes
HydroVolumes

Take a watershed and extrude it vertically into the atmosphere

and subsurface

A hydrovolume is “a volume in space through which water, energy and mass flow, are stored internally, and transformed”

watershed hydrovolumes
Watershed Hydrovolumes

Hydrovolume

Geovolume is the

portion of a hydrovolume

that contains solid

earth materials

USGS Gaging stations

hydrologic flux coupler
Hydrologic Flux Coupler

Hydrologic Fluxes and Flows

Digital Watershed(Atmospheric, surface and subsurface water)

We want to do water,

mass, energy and water balances

hydrologic flux coupler39
Hydrologic Flux Coupler

Define the fluxes and flows associated with each hydrovolume

Evaporation

Precipitation

Streamflow

See Chapter 9 of

Status Report for Details

Groundwater recharge

slide40

Time, T

D

Space, L

Time Series Analysis

Variables, V

D

Geostatistics

Multivariate analysis

Praveen Kumar

Is our expert on this

subject

Data to Knowledge

D2K

Jan

Feb

4-D Data Model

Image to Knowledge

i2K

(See Chapter 10 of

the status report for

details)

Data Files

his goals41
HIS Goals
  • Hydrologic Data Access System – better access to a large volume of high quality hydrologic data
  • Support for Observatories – synthesizing hydrologic data for a region
  • Advancement of Hydrologic Science – data modeling and advanced analysis
  • Hydrologic Education – better data in the classroom, basin-focused teaching
basin oriented teaching
Focus class on interpretation of a single river basin

Interdisciplinary teaching

Water balances for each phase of hydrologic cycle

Use Unidata Integrated Data Viewer to access weather info

Basin-oriented teaching

http://www.ce.utexas.edu/prof/maidment/gradhydro2005/gradhydro2005.htm

where to from here
Where to from here?
  • “Test bed” informatics project
    • Determine best way to get tools that are ready to go into users’ hands
    • Deliver Hydrologic Data Access System
    • Support Hydrologic Information Toolkit (e.g., Time Series Analyst from USU)
    • Further development where required (e.g., digital watershed, flux coupler, shared data models with neighboring science communities)
funding opportunities
Funding Opportunities
  • Earth Sciences Instrumentation and Facilities competition
    • Open competition with proposals due 8 Feb, 2006
    • NSF is encouraging proposals for “test bed” project for 5-year period with funding in order of $4million
    • Developmental projects can also be submitted to this competition
  • Role of CUAHSI
    • Prioritization, Liaison w/ Federal Agencies, Testing, Community Education, Coordination among Informatics projects
    • CUAHSI will support any successful project in this competition that requests CUAHSI engagement
    • Standard language will be available from web site
    • Discuss budget requirements with Rick Hooper
    • Jon Duncan will chair a Users Committee for reviewing HIS products
  • Statement will be posted on CUAHSI web site shortly
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