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CUAHSI-Hydrologic Information Systems

CUAHSI-Hydrologic Information Systems. UCAR. CUAHSI – C onsortium of U niversities for the A dvancement of H ydrologic S cience, I nc Formed in 2001 as a legal entity 100 member universities (May 2005) Program office in Washington (5 staff) Rick Hooper is Executive Director.

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CUAHSI-Hydrologic Information Systems

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  1. CUAHSI-Hydrologic Information Systems UCAR • CUAHSI –Consortium of Universities for the Advancement of Hydrologic Science, Inc • Formed in 2001 as a legal entity • 100 member universities (May 2005) • Program office in Washington (5 staff) • Rick Hooper is Executive Director Unidata Atmospheric Sciences Earth Sciences Ocean Sciences CUAHSI NSF Geosciences Directorate HIS

  2. CUAHSI Hydrologic Information Systems

  3. Project co-PI Collaborator CUAHSI Hydrologic Information System

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

  5. Cyberinfrastructure Components

  6. Workflow Sequencing using ModelBuilder

  7. HIS Goals • Data Services for Hydrologists – get me the data I want quickly and painlessly • Support for Observatories – data structure for Digital Watersheds • Advancement of Hydrologic Science – flux coupler, HydroObjects • Hydrologic Education – how to get data into the classroom

  8. Digital Watershed Hydrologic Observation Data Geospatial Data (GIS) (Relational database or delimited ascii) Digital Watershed Remote Sensing Data Weather and Climate Data (EOS-HDF) (NetCDF)

  9. CUAHSI HIS Overview • HIS User Assessment • Hydrology Data Portal • Digital Watershed • Hydrologic Analysis

  10. HIS User Assessment • First survey done for HIS White Paper (2003) • HIS Symposium in March – 4 institutional surveys and a survey of participants • CUAHSI Web Surveyor – developed by David Tarboton and Christina Bandaragoda (75 responses from 38 institutions) • Summary paper circulated by email yesterday

  11. Please rank these four HIS service categories for helping you. Value Score (counting 4 for first, 4 for second, 2 for third and 1 for fourth). Conclusion: Data services are the highest priority

  12. % of time spent preparing data

  13. Which operating systems do you use for your research? If you use more than one operating system, select all that apply.

  14. Please indicate one dataset that you believe would most benefit from increased ease of access through a Hydrologic Information System (HIS). Conclusion: EPA STORET Water Quality, Streamflow and Remote Sensing Data are perceived to be able to benefit from improved access. I am surprised USGS streamflow is up there. Is this an indication of importance over difficulty?

  15. How we use software (Austin Symposium)

  16. Which of the following data analysis difficulties are most important for HIS to address? Conclusion: High priorities are: - Data formats - Metadata - Irregular time steps Value Score (counting 3 for first, 2 for second and 1 for third).

  17. How we use software (Web Surveyor) • Programming (85% of respondents): Fortran, C/C++, Visual Basic • Data Management (93%): Excel, MS Access • GIS (93%): ArcGIS • Mathematics/Statistics (98%): Excel, Matlab, SAS, variety of other systems • Hydrologic models (80%): Modflow, HEC models • A general, simple, standard, and open interface that could connect with many systems is the only way to accommodate all these

  18. CUAHSI HIS Overview • HIS User Assessment • Hydrology Data Portal • Digital Watershed • Hydrologic Analysis

  19. A relational database stored in Access, PostgreSQL, SQL/Server, …. Stores observation data made at points Access data through web interfaces Fill using automated data harvesting Hydrologic Observations Database Streamflow Groundwater levels Precipitation & Climate Soil moisture data Water Quality Flux tower data

  20. Hydrologic Observations Data Model Relationships Review conducted by David Tarboton with 22 responses – redesign of this model is now being done

  21. ProposedCUAHSI Observations Database Schema(for details see chap 6 at http://www.cuahsi.org/docs/HISStatusSept15.pdf)

  22. Example: Lake Water Chemistry

  23. Data Access and Viewing System in ArcMap

  24. CUAHSI Data Portal

  25. CUAHSI Data Portal

  26. Plot from the Hydrology Data Portal Produced using a CUAHSI Hydrology Web Service: getDailyStreamflowChart

  27. CUAHSI Hydrology Web Services for NWIShttp://water.sdsc.edu/HydrologicTimeSeries/NWIS.asmx

  28. Documentation: getDailyStreamflowChart https://webspace.utexas.edu/jgoodall/HydrologicTimeSeriesWebServices.htm

  29. Applications and 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 Web Services Library

  30. Utah State University Streamflow Analyst

  31. CUAHSI HIS Overview • HIS User Assessment • Hydrology Data Portal • Digital Watershed • Hydrologic Analysis

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

  33. Digital Watershed Hydrologic Observation Data Geospatial Data (GIS) (Relational database or delimited ascii) 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

  34. Digital Watershed:An implementation of the CUAHSI Hydrologic Data Model for a particular region Created first for the Neuse basin

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

  36. Streamflow, water quality hydrologic observational data GIS: River network, water bodies, watersheds, monitoring points Land cover, soils, MODIS remote sensing (Praveen Kumar) Neuse Surface Water MODIS Terrain and Land Cover

  37. http://neuse.crwr.utexas.edu/ ArcIMS Web Server displaying data compiled in Neuse HO Planning Study

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

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

  40. Create a 3 dimensional representation Geovolume Each cell in the 2D representation is transformed into a 3D object Geovolume with model cells

  41. Numerical Models Prediction HSPF Sensor Arrays NGDC NWS NCDC USGS NWIS NCEP Air-Q MM5 Individual Samples Data Centers Page 3 The Demands METADATA Drexel University, College of Engineering

  42. Upper Hydrologic Ontology Hydrologic ProcessesSedimentation Many More Many More Many More Many More ARCHydro ISO 19115 Geospatial ISO 19108 Temporal Objects ISO 19103 Units/Conversion USGS Hydrologic Unit Code Page 21 Hydrologic Metadata We currently have What we need is Michael Piasecki is our expert in this subject! Ontology Examples Drexel University, College of Engineering

  43. CUAHSI HIS Overview • HIS User Assessment • Hydrology Data Portal • Digital Watershed • Hydrologic analysis

  44. Hydrologic Analysis Statistics and Hypothesis Testing Hydrologic Process Modeling Digital Watershed Visualization Data Mining and Knowledge Discovery

  45. Data Driven Discovery Tools Praveen Kumar is our expert on this subject!

  46. Time, T D Space, L Time Series Analysis Variables, V D Geostatistics Multivariate analysis Data to Knowledge D2K Jan Feb 4-D Data Model Image to Knowledge i2K Data Files

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

  48. Neuse Observatory Prototype Study

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