David R. Maidment Center for Research in Water Resources University of Texas at Austin Presented to Geospatial World Forum Rotterdam, the Netherlands |16.

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Presentation transcript:

David R. Maidment Center for Research in Water Resources University of Texas at Austin Presented to Geospatial World Forum Rotterdam, the Netherlands |16 May 2013 Acknowledgements: David Arctur, Fernando Salas Standards and Interoperability in Geospatial Water Information

Water Observation – In Situ Water Quantity RainfallSoil Water Water QualityMeteorologyGroundwater Time series data at point locations

Every Country Collects These Data United States Australia Mexico We need Global Water Data Integration

Consortium of Universities for the Advancement of Hydrologic Science, Inc. CUAHSI A consortium representing 125 US universities Dr. Richard Hooper, President and CEO Building an academic prototype system Supported by the National Science Foundation Earth Science Division Advances hydrologic science in nation’s universities Includes a Hydrologic Information System project Invented WaterML language for water resources time series

Web Pages and Web Services Web pages deliver text and images Web services deliver data encoded in XML

Guide to Hydrological Practices Volume II Management of Water Resources and Application of Hydrological Practices Guide to Hydrological Practices Volume I Hydrology – From Measurement to Hydrological Information WMO Guide to Hydrological Practices Guide to Hydrological Practices WMO recommendations for National Hydrological Surveys Science and Measurement Application and Management Chapter 10 Data Storage, Access, and Dissemination

Guide to Hydrological Practices Volume I Hydrology – From Measurement to Hydrological Information Volume 1, Chapter 10 Last section of the last chapter of Volume I … … this lecture provides an update since 2008 Science and Measurement Published in 2008

OGC/WMO Hydrology Domain Working Group Year International Effort – WaterML November 2009 Hydrology Domain Working Group formed OGC at WMO Commission on Hydrology Technical Meetings Each 3 Months Four Interoperability Experiments (Surface water, groundwater, forecasting) Annual week-long workshops Involvement by many countries Acknowledgements: OGC, WMO, GRDC, CUAHSI, BoM/CSIRO, USGS, GSC, Kisters, ……. A time series for one variable at one location

“WaterML: Water Markup Language (ML) is an informatics initiative of the CENRS Subcommittee on Water Availability and Quality that provides a systematic way to access water information from point observation sites.” (p.21) Committee on Environmental, Natural Resources, and Sustainability (CENRS)

Geospatial and Temporal Water Data GEOSS WIS Catalogues OGC WMO Standards GIS Water Resources Water Resources Domains Maps and Time Series Interoperability of Connected Systems Implementation

United States Services Stack WaterML time series service for data An attribute of each mapped observation point is a web link to the WaterML data service Colorado River at Austin, Texas Metadata Data Catalog Web Feature Service for Observation Metadata

Searching GEOSS Portal Search for water information Find streamflow maps for countries

Italy – 22 regions ISPRA is the NIWA of Italy …. ….Hydrometric measurement was regionalized in 2002 National Institute for Environmental Protection and Research (ISPRA)

Italy – River Basins Data for the Po River basin is managed by seven different regional authorities One of these regions is Emilio-Romagna they have fedeated the data for the Po Basin

Prototype HIS for the Po Basin Water data services published using CUAHSI Hydroserver …. ….. and ingested into CUAHSI Hydrodesktop Developed by Silvano Pecora (ARPA Emilio-Romagna)

Global Streamflow Services Global Runoff Data Centre USA New Zealand Dominican Republic Building a national system federating regions builds a global system federating countries

New Zealand World Soil Moisture A dryer region with significant seasonality Popup on point links to data and chart from the NASA Global Land Data Assimilation System (GLDAS) A very wet region with little seasonality Charts show 3-hourly variation (37,000 values) of soil water content of the top 1m of soil from 2000 to

Global Water Maps Describe a water property over a domain of space and time History Current conditions Forecasts Sensor Web Model Web Precipitation Evaporation Soil Moisture Streamflow Groundwater Reservoirs