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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,

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Presentation on theme: "CUAHSI Hydrologic Information Systems By David R. Maidment With support from many collaborators: Ilya Zaslavsky, Reza Wahadj, Chaitan Baru, Praveen Kumar,"— Presentation transcript:

1 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!

2 CUAHSI Hydrologic Information Systems

3 Environmental Cyberinfrastructure Part of NSF Cyberinfrastructure program CUAHSI Hydrologic Information Systems is one of several pilot projects – CUAHSI, CLEANER, ORION, NEON, …..

4 Project co-PI Collaborator CUAHSI Hydrologic Information System

5 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: maidment@mail.utexas.edu

6 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

7 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

8 HIS User Assessment (Chapter 4 in Status Report) Data Access Science Observatory support Education Which of the four HIS goals is most important to you?

9 CUAHSI Hydrologic Data Access System (HDAS) A common data window for accessing, viewing and downloading hydrologic information USGS NASANCDC EPANWS Observatory Data

10 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”

11 NWIS Station Information in HDAS http://river.sdsc.edu/HDAS

12 Charting Data in HDAS Data Downloads Executed Here

13 Web Services Library 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

14 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

15 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

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17 http://public.ornl.gov/ameriflux/ Building each web service requires a site map and a web services library Ameriflux site map Web services library Ameriflux towers measure vertical fluxes of water, heat, CO 2

18 Accessing Ameriflux data directly from Excel using CUAHSI web services

19 Page 3 Drexel University, College of Engineering Data Centers NCDC USGS NWIS NCEP NWS NGDC Sensor Arrays Numerical Models Prediction HSPF Air-Q MM5 Individual Samples METADATA Description of Data (see Chapter 5 of Status Report for details) Michael Piasecki is our expert on this complex subject

20 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

21 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

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

23 Digital Watershed Hydrologic Observation Data Geospatial Data Remote Sensing Data Weather and Climate Data (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

24 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 tower data Precipitation & Climate Groundwater levels Water Quality Soil moisture data

25 Hydrologic Observations Data Model (Draft version) CUAHSI review conducted by David Tarboton with 22 responses Redesign done by David and Jeff Horsburgh Relationships

26 Proposed CUAHSI Observations Data Model (for details see chap 6 of status report)

27 Digital Watershed: Prototype for the Neuse basin (See Chapter 8 in the Status Report for details)

28 Neuse Atmospheric Water Daily precipitation data from NCDC gages Nexrad daily rainfall rasters Land surface – atmosphere fluxes from North American Regional Reanalysis of climate

29 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

30 Neuse Basin: Coastal aquifer system * From USGS, Water Resources Data Report of North Carolina for WY 2002 Section line Beaufort Aquifer

31 Neuse Groundwater Geovolumes of hydrogeologic units from US Geological survey (GMS)

32 GeoVolume – 3D representation of the surface and subsurface Geovolume Geovolume with groundwater model cells Geovolume of layered soil texture for the Neuse basin

33 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

34 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

35 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”

36 Watershed Hydrovolumes Geovolume is the portion of a hydrovolume that contains solid earth materials USGS Gaging stations Hydrovolume

37 Stream channel Hydrovolumes

38 Hydrologic Flux Coupler Hydrologic Fluxes and Flows Digital Watershed (Atmospheric, surface and subsurface water) We want to do water, mass, energy and water balances

39 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

40 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 of the status report for details) Praveen Kumar Is our expert on this subject

41 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

42 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

43 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)

44 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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