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Hydrologic Information System Services Architecture

Hydrologic Information System Services Architecture. Collaborative project: UTAustin (D. R. Maidment) + SDSC (C. Baru, I. Zaslavsky) + Utah State U (D. Tarboton)+ Drexel U (M. Piasecki) + Duke U. (J. Goodall) + CUAHSI Office (R. Hooper).

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Hydrologic Information System Services Architecture

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  1. Hydrologic Information System Services Architecture Collaborative project: UTAustin (D. R. Maidment) + SDSC (C. Baru, I. Zaslavsky) + Utah State U (D. Tarboton)+ Drexel U (M. Piasecki) + Duke U. (J. Goodall) + CUAHSI Office (R. Hooper)

  2. The Grid is becoming the backbone for collaborative science and data sharing CI is about RE-USING data and research resources !!

  3. CI Vision for Hydrologic Science • Leverage ongoing cyberinfrastructure projects: • The Geosciences Network (GEON) • Share data between Earth Disciplines • Secure access to Grid resources, single sign-on authentication/ authorization, distributed data management, data publication, search, information integration, knowledge management, scientific workflows, archiving • Integrate with common COTS (commercial off-the shelf) software: • Excel, ArcGIS, Matlab… • and Fortran … mostly on Windows… • Interesting survey of CUAHSI partners by David Tarboton!

  4. 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

  5. Tuning to unique features of hydrology • Hydrologic observations: • Reliance on federally-organized data collection (NWIS, STORET, Ameriflux, etc.) with huge and complex nomenclatures •  simplifying access to federal repositories •  relatively lower emphasis on data ownership • Handling time in both UTC and local • Various spatial offsets • Multiple data types: time series, fields, spatial data • Integrative discipline: • Interoperation with atmospheric, ocean, soils, geomorphology, social datasets and services… • Community: • Organized by “natural boundaries” •  natural object hierarchy •  networks of relatively autonomous self-managed data nodes • Partnership with public sector water management

  6. Hydrologic Information System Service Oriented Architecture Web portal Interface (HDAS) Information input, display, query and output services Preliminary data exploration and discovery. See what is available and perform exploratory analyses 3rd party servers Web services interface e.g. USGS, NCDC GIS Matlab Observatory servers IDL SDSC HIS servers Splus, R D2K, I2K Programming (Fortran, C, VB) Downloads Uploads HTML -XML Data access through web services WaterOneFlow Web Services WSDL - SOAP Data storage through web services

  7. NASA Storet Ameriflux Unidata NCDC NCAR NWIS CUAHSI Web Services Excel Visual Basic ArcGIS C/C++ Matlab Fortran Access SAS Main Components • Web services for accessing hydrologic repositories • Hydrologic Observations Data Model • Hydrologic Data Access System + Time SeriesViewer • Collection of CUAHSI nodes

  8. Database Sizes Records Stations Time range USGS 250 million 1.5 million 100 years EPA 200 million 800,000 100 years NWS 100 years ? 19,000 (From Jon Goodall, Duke U.)

  9. Language for Data Representation Time of Measurement Unique Identifier for a Observation Station Latitude, Longitude USGS dec_lat_va, dec_long_va dv_dt site_no EPA Station Latitude, Station Longitude Activity Start Station ID NWS LATITUDE, LONGITUDE YEAR,MO,DA,TIME COOPID Lots of semantic differences in parameter names, methods, etc.

  10. Output (Drexel Univ.) CUAHSI Search Wizard NWIS Parameter Codes Inside the NWIS Module Ontology Viz Demo Search Wizard Demo

  11. WaterOneFlow Web Services Output: string standardized to a common set of objects (XML schema)

  12. CUAHSI Web Services http://www.cuahsi.org/his/webservices.html NCEP North American Forecast Model 12 Km grid for continental US New services: http://water.sdsc.edu/wateroneflow/

  13. A relational database stored in Access, PostgreSQL, MS SQL Server, …. Stores observation data made at points Consistent format for storage of observations from many different sources and of many different types. CUAHSI Point HydrologicObservations Data Model (D. Tarboton, USU) Streamflow Groundwater levels Precipitation & Climate Soil moisture data Water Quality Flux tower data Community design requirements (22 reviewers)

  14. Schema

  15. Uses and tools for HODM • HODM is central to HIS infrastructure, but lacks tools • Testing HODM with two types of data: federal repositories, and external databases (Panola). Personal and enterprise versions. • Mapping wizard: loading Excel observation data to HODM database: • Can save mapping files for subsequent runs of similarly formatted spreadsheets • Local data analysis can be done: charts and stats • HDAS as an interface to HODM datasets - but shall not be the only one - so exposing HODM as Web services

  16. Hydrologic Data Access System http://river.sdsc.edu/hdas/

  17. Hydrologic Data Access System

  18. Remote CUAHSI HIS Node (Windows) Remote CUAHSI HIS Node (Windows) Remote CUAHSI HIS Node (Windows) Remote CUAHSI HIS Node (Windows) HODM HODM HODM HODM Web Web Web Web HDAS HDAS HDAS HDAS Web Web Web Web Services Services Services Services Service Service Service Service IIS Web Server IIS Web Server IIS Web Server IIS Web Server ASP ASP ASP ASP . . . . Net Net Net Net Web Web Web Web ArcGIS ArcGIS ArcGIS ArcGIS SQL Server SQL Server SQL Server SQL Server Service Service Service Service Technologies Technologies Technologies Technologies proxies proxies proxies proxies Data Data Data Data Cross-platform design GEON Data Node (Linux) Central CUAHSI HIS Node (Windows) HODM Web HDAS Web Geon Software Stack Services Service Proxy IIS Web Server ASP . Net Apache Tomcat Web ArcGIS SQL Server Service Technologies proxies Data Data Remote CUAHSI HIS Nodes (Windows)

  19. Resource registration • Shapefiles • TIFF images, GMT rasters • Web Services, WMS services • Relational databases, ASCII • PDFs, URLs • “CUAHSI data” • NetCDF • Coming: Geodatabases and ODM

  20. HIS Scalability • Adding… …data types and datasets; processing models and services; servers; users and roles – - shall not create unmanageable bottlenecks that require system re-engineering • Designing for scalability: • Distilling a generic set of web service signatures; resolving semantic and structural heterogeneities • Using HODM as a common generic format for time series data, for ease of coding and uniform search interfaces • HDAS GUI design to abstract specifics of disparate repositories • Leveraging common CI components developed in GEON and other projects • Have good design docs, to allow others develop and deploy systems Also: Need to work with agencies to remove the web services bottleneck – some progress with USGS and NOAA!!

  21. Plans • HIS 1.0, Oct 30, 06: • Version 1 of WaterOneFlow web services; • version 1 of ODM; • Additional catalogs in HODM; • HDAS deployable; • HIS workbook; • HIS design document • Web services and catalogs for fields • Further GEON integration: registering ODMs to GEON catalog, and completing a Windows-based node • Planning for 5 more years!

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