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, Le. Roy Poff, Dennis Lettenmaier, Barbara Minsker, …… And many graduate students and post-docs: Venkatesh Merwade, Tim Whiteaker, Jon Goodall, Gil Strassberg, Ben Ruddell, Luis Bermudez, Boran, …… Thanks to everyone for all their help!
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, …. .
CUAHSI Hydrologic Information System Project co-PI Collaborator
HIS Status Report Available • See http: //www. cuahsi. org/docs/ HISStatus. Sept 15. pdf • Summary of knowledge to date in the CUAHSI HIS project • Your comments and feedback are welcome: maidment@mail. utexas. edu
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) Which of the four HIS goals is most important to you? Data Access Science Observatory support Education
CUAHSI Hydrologic Data Access System (HDAS) EPA USGS NCDC NASA NWS Observatory Data A common data window for accessing, viewing and downloading hydrologic information
National Water Information System http: //waterdata. usgs. gov/nwis • 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 “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 application: Data Portal Your application • Excel, Arc. GIS, Matlab • Fortran, C/C++, Visual Basic • Hydrologic model • ……………. Your operating system • Windows, Unix, Linux, Mac Internet Web Services Library Simple Open Access Protocol
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) http: //water. usu. edu/nwisanalyst/ -- operates on CUAHSI web services http: //water. usu. edu/analyzer/ -- operates on local data for Neuse basin
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, CO 2 Web services library
Accessing Ameriflux data directly from Excel using CUAHSI web services
Page 3 Description of Data Numerical Models Prediction Michael Piasecki is our expert on this complex subject Air-Q Sensor Arrays HSPF MM 5 NCDC METADATA USGS NWIS NCEP NWS Data Centers Drexel University, College of Engineering NGDC Individual Samples (see Chapter 5 of Status Report for details)
CLEANER-CUAHSI Cybercollaboratory http: //cleaner. ncsa. uiuc. edu/cybercollab/ • 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 Thanks to Barbara Minsker and NCSA for hosting this service for us This 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 Watershed How can hydrologists integrate observed and modeled data from various sources into a single description of the environment?
Digital Watershed Hydrologic Observation Data Geospatial Data (GIS) (Relational database) Digital Watershed Remote Sensing Data Weather and Climate Data (EOS-HDF) (Net. CDF) 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 Streamflow stored in Access, Postgre. SQL, SQL/Server, …. Precipitation • Stores observation data & Climate made at points • Repository for summary data from sensor networks Water Quality • Access data through web interfaces Groundwater levels Soil moisture data Flux tower data
Hydrologic Observations Data Model (Draft version) Relationships • CUAHSI review conducted by David Tarboton with 22 responses • Redesign done by David and Jeff Horsburgh
Proposed CUAHSI 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 Section line Beaufort Aquifer * From USGS, Water Resources Data Report of North Carolina for WY 2002
Neuse Groundwater Geovolumes of hydrogeologic units from US Geological survey (GMS)
Geo. Volume – 3 D representation of the surface and subsurface 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 disciplines Hydrologic information science supports hydrologic process science
Hydro. Volumes 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 Hydrovolume Geovolume is the portion of a hydrovolume that contains solid earth materials USGS Gaging stations
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 Define the fluxes and flows associated with each hydrovolume Evaporation Precipitation Streamflow See Chapter 9 of Status Report for Details Groundwater recharge
Time Series Analysis Praveen Kumar Is our expert on this subject D Geostatistics Data to Knowledge Multivariate analysis Jan Feb 4 -D Data Model Time, T Image to Knowledge D Space, L Variables, V Data Files (See Chapter 10 of the status report for details)
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 http: //www. ce. utexas. edu/prof/maidment/gradhydro 2005. htm
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 $4 million – 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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