cuahsi hydrologic information systems by david r. maidment with support from many collaborators:...
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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!
DataHypotheses
Needs
Tools
Data
Models
Exogenous DataTechnological
Advances
CommunitySupport
Multi-DisciplinaryTeams
HydrologicSynthesis
HydrologicObservatories
MeasurementTechnology
HydrologicInformation
Systems
CommunitySupport
AdditionalHypotheses
CUAHSI Hydrologic Information Systems
Environmental Cyberinfrastructure
• Part of NSF Cyberinfrastructure program
• CUAHSI Hydrologic Information Systems is one of several pilot projects – CUAHSI, CLEANER, ORION, NEON, …..
Project co-PI
Collaborator
CUAHSI Hydrologic Information System
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 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 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)
Data Access
Science Observatorysupport
Education
Which of the four HIS goals is most important to you?
CUAHSI Hydrologic Data Access System(HDAS)
A common data window for accessing, viewing and downloading hydrologic information
USGS
NASANCDCEPA NWS
Observatory Data
National Water Information System
• USGS NWIS 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
http://waterdata.usgs.gov/nwis
“Get the web pages out of the way”
NWIS Station Information in HDAS
http://river.sdsc.edu/HDAS
Charting Data in HDAS
Data Downloads Executed Here
Web Services
Web ServicesLibrary
Web application: Data PortalYour application• Excel, ArcGIS, Matlab• Fortran, C/C++, Visual Basic• Hydrologic model• …………….
Your operating system• Windows, Unix, Linux, Mac
Internet Simple Open Access Protocol
CUAHSI Web Services Library for NWIShttp://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)
http://water.usu.edu/nwisanalyst/ http://water.usu.edu/analyzer/
-- operates on CUAHSI web services-- operates on local data for Neuse basin
http://public.ornl.gov/ameriflux/
Building each web servicerequires a site map anda web services library
Ameriflux site map
Web services library
Ameriflux towers measure vertical fluxes of water, heat, CO2
Accessing Ameriflux data directly from Excel using CUAHSI web services
Page 3
Drexel University, College of Engineering
Data Centers
NCDC
USGSNWIS
NCEP
NWSNGDC
Sensor Arrays
Numerical ModelsPrediction
HSPF
Air-Q
MM5
IndividualSamples
METADATA
Description of Data
(see Chapter 5 of Status Report for details)
Michael Piaseckiis our expert on thiscomplex subject
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 usThis service is still under development
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 WatershedHow can hydrologists integrate observed and
modeled data from various sources into a single description of the environment?
Digital WatershedHydrologic Observation
Data
GeospatialData
Remote SensingData
Weather and ClimateData
(NetCDF)
(GIS)(Relational database)
(EOS-HDF)
Digital Watershed
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
Streamflow
Flux towerdata
Precipitation& Climate
Groundwaterlevels
Water Quality
Soil moisture
data
Hydrologic Observations Data Model (Draft version)
• CUAHSI review conducted by David Tarboton with 22 responses • Redesign done by David and Jeff Horsburgh
Relationships
ProposedCUAHSI Observations Data Model(for details see chap 6 of status report)
Digital Watershed:Prototype for the Neuse basin
(See Chapter 8 in the Status Report for details)
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)
MODIS
Terrain and Land Cover
Neuse Basin: Coastal aquifer system
* From USGS, Water Resources Data Report of North Carolina for WY 2002
Section line
Beaufort Aquifer
Neuse Groundwater
Geovolumes of hydrogeologic unitsfrom US Geological survey (GMS)
GeoVolume – 3D representation of the surface and subsurface
Geovolume Geovolume with groundwater model cells
Geovolume of layered soil texture for the Neuse basin
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
• 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 disciplinesHydrologic information science supports
hydrologic process science
HydroVolumes
Take a watershed and extrude it vertically into the atmosphereand subsurface
A hydrovolume is “a volume in space through which water, energy and mass flow, are stored internally, and transformed”
Watershed Hydrovolumes
Geovolume is theportion of a hydrovolumethat contains solidearth materials
USGS Gaging stations
Hydrovolume
Stream channel Hydrovolumes
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 Coupler
Precipitation
Evaporation
Streamflow
Define the fluxes and flows associated with each hydrovolume
Groundwater recharge
See Chapter 9 of Status Report for Details
Data Files
FebJan
4-D Data Model
Space, L
Time, T
Variables, V
D
Geostatistics
Time Series Analysis
Multivariate analysis
D
Image to Knowledge
Data to Knowledge
(See Chapter 10 ofthe status report fordetails)
Praveen KumarIs our expert on thissubject
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
http://www.ce.utexas.edu/prof/maidment/gradhydro2005/gradhydro2005.htm
• 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
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
• 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