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CUAHSI Hydrologic Information Systems and Web Services

CUAHSI Hydrologic Information Systems and Web Services. By David R. Maidment

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CUAHSI Hydrologic Information Systems and Web Services

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  1. CUAHSI Hydrologic Information Systems and Web Services By David R. Maidment With support from many collaborators:Ilya Zaslavsky, David Valentine, 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 Beran, …… Thanks to everyone for all their help!

  2. 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

  3. 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

  4. 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

  5. Water Data Water quantity and quality Soil water Rainfall & Snow Modeling Meteorology Remote sensing

  6. Water Data Web Sites

  7. NWISWeb site output # agency_cd Agency Code # site_no USGS station number # dv_dt date of daily mean streamflow # dv_va daily mean streamflow value, in cubic-feet per-second # dv_cd daily mean streamflow value qualification code # # Sites in this file include: # USGS 02087500 NEUSE RIVER NEAR CLAYTON, NC # agency_cd site_no dv_dt dv_va dv_cd USGS 02087500 2003-09-01 1190 USGS 02087500 2003-09-02 649 USGS 02087500 2003-09-03 525 USGS 02087500 2003-09-04 486 USGS 02087500 2003-09-05 733 USGS 02087500 2003-09-06 585 USGS 02087500 2003-09-07 485 USGS 02087500 2003-09-08 463 USGS 02087500 2003-09-09 673 USGS 02087500 2003-09-10 517 USGS 02087500 2003-09-11 454 Time series of streamflow at a gaging station

  8. CUAHSI Hydrologic Data Access System http://river.sdsc.edu/HDAS NCDC NASA EPA NWS USGS Observatory Data A common data window for accessing, viewing and downloading hydrologic information

  9. Observation Stations Map for the US Ameriflux Towers (NASA & DOE) NOAA Automated Surface Observing System USGS National Water Information System NOAA Climate Reference Network

  10. NWIS Station Observation Metadata Describe what has been measured at this station

  11. Web Page Scraping http://nwis.waterdata.usgs.gov/nwis/discharge?site_no=02087500&agency_cd=USGS&.... Programmatically construct a URL string as produced by manual use of the web page Parse the resulting ASCII file

  12. CUAHSI Web 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 Simple Object Access Protocol Web Services Library

  13. Series and Fields Features Series – ordered sequence of numbers Point, line, area, volume Discrete space representation Time series – indexed by time Frequency series – indexed by frequency Surfaces Fields – multidimensional arrays Continuous space representation Scalar fields – single value at each location Vector fields – magnitude and direction Random fields – probability distribution

  14. North American Regional Reanalysis of Climate Evaporation Precipitation Variation during the day, July 2003 NetCDF format mm / 3 hours

  15. Arc Hydro Time Series Geospatial features associate with time series HydroID 2906 Feature Class (HydroID) Attribute Series Table (FeatureID)

  16. Arc Hydro Time Series Object TSDateTime Feature Class (point, line, area) TSValue FeatureID TSType TSType Table

  17. NetCDF Data Model Time Dimensions and Coordinates Value Space (x,y,z) Variable Attributes

  18. Data Sources NASA Storet Ameriflux Unidata NCDC Extract NCAR NWIS Transform CUAHSI Web Services Excel Visual Basic ArcGIS C/C++ Load Matlab Fortran Access SAS Applications http://www.cuahsi.org/his/ Some operational services

  19. Core Web Services

  20. Operational Services

  21. CUAHSI Web Services http://www.cuahsi.org/his/webservices.html NCEP North American Forecast Model 12 Km grid for continental US

  22. Federal State Local Academic Water OneFlow • Like Geospatial OneStop, we need a “Water OneFlow” – a common window for water data and models • Advancement of water science is critically dependent on integration of waterinformation

  23. Conclusions • It would be good to define a collaboration between CUAHSI and Unidata for web services that has a consistent vocabulary • We in CUAHSI would defer to Unidata for definition of how to ingest real-time weather information as fields (netCDF with CF conventions) • Try to define services that represent “time histories” of variables, past, present and future e.g. precipitation, evaporation, surface temp

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