IMPROVING THE UPTAKE OF GLOBAL DATA SETS

1. IMPROVING THE UPTAKE OF GLOBAL DATA SETS Dr Wolfgang Grabs Chief, Hydrological Forecasting and Water Management Climate and Water Department wgrabs@wmo.int

2. IMPROVING THE UPTAKE OF GLOBAL DATA SETS • Matching user requirements with available observations, • Demand driven Improvement of current observations (temporal, spatial, accuracy, new observation platforms…) • Improve on data sharing agreements and protocols • Improve access to data: Need for metadata catalogs and inter-operable data management • Improve (tele)communication modes

3. IMPROVING THE UPTAKE OF GLOBAL DATA SETS • Maintaining stream of observations into global databases • Improve quality control of observations and uptake in global datasets • Feedback and gratification for data providers (!!!) • Interactive linkage of global data sets • From data to information: Building data products • Aggregate data sets to interactive, multiple-layer multiple variable products (i.e. hydrology, precipitation, groundwater, soil moisture, climate..)

4. IMPROVING THE UPTAKE OF GLOBAL DATA SETS Making improved use of observations for modeling (example): Framework for Aquatic Modeling of the Earth System (FrAMES) – Vörösmarty et al, 2008 Highly modular platform for model development allowing a high degree of configuration capabilities and ease of various input data. Next generation FrAMES will provide an XML based model definition for the implementation of various model processes. Inputs are managed by plug-in infrastructure to allow the implementation of different data streams through direct file access to different file formats or access into web-based data services.

5. Global Data Sets - Platforms Examples for Data Portals

13. FLASH FLOOD THREAT 3-HOUR UPDATE

14. Challenges to the production of Global Data Sets (examples)

15. Declining ability of the National Hydrological Services (NHSs) and related water agencies to provide information on the status and trend of water resources • Inadequate / deteriorating systems for collecting and managing water-resources related information • Little or no-quality assurance & control standards applied to instruments, data reduction methods and procedures • Insufficient basic capabilities to access, interpret, and apply water cycle information available from satellite systems

16. « Rationalization » of networks: Stations with long-term records are abandoned because it is felt that no incremental hydrological information can be obtained for i.e. engineering/design purposes. This neglects the potentially changing hydrological regime as a result of climate change. Long-term hydrological records are indispensible to assess impacts of climate change and to derive adaptive measures.

17. Declining Hydrological Networks: USGS example Source: http://water.usgs.gov/nsip/history.html From 1980 to 2004, 2,051 stream gauges with 30 or more years of streamflow record were discontinued. At the end of 2005, 7360 stations were active

18. Decline of hydrological stations in Kirgizstan (Aral Sea Basin) 1985-2005 Number of hydrological stations declined by 48% in the period 1985-2005

19. Global Data Sets Approaches to Facilitating Access and Uptake

20. Spatial Data Set Client Metadata ? State Agency ? Federal Agency ? Private Company ? ? ? Academic Non-Profit Agency Local Agency Cataloging datasets Locate Evaluate Extract • Index of Datasets • Product Catalog • Printed • On-line • Clearinghouse • Searching • Browsing • Data Warehouse • Management

21. Call for standard of formats and transfers, for standard of descriptions Call for services to easily identify, evaluate, access hydrologic data GRDC - exchange of hydrologic data and information on global scale

22. Various data users from all over the world require special datasets. GRDC - facilitator between the producers and users of hydrologic data

23. WMO Information System - WIS brings new features and opportunities • Common information exchange standards, functions and services forall WMO programmes • Inter-disciplinarydiscovery, retrieval and exchange of information in real-time and non-real time • Inter-operability through on-line catalogues usingmetadata based on ISO 19100(geographic information standard) • Industry standards and off-the-shelf hardware and software systems to ensurecost-effectiveness and compatibility

24. Structure of WIS Functional centres interconnected by data communication networks: • National Centres (NC) • Links national data providers and users to regional and global data exchange nodes, and administrates access to WIS • Data Collection and Production Centres (DCPC) • Provides for regional and international exchange of WMO programmes’ data and products • Supports data and information push and pull • Global Information System Centres (GISC) • Provides for global exchange of data and products • Collects and provides metadata for all data and products • Supports data and information discovery and pull

25. DCPC NC NC NC/ DCPC Managed, Regional and Internet NC NC/DCPC Communication Networks NC GISC NC GISC GISC NC DCPC DCPC GISC GISC Satellite Dissemination (IGDDS, RETIM, etc) NC NC SatelliteTwo-Way Systems NC NC On-demand “pull” WIS World Radiation Centre Regional Instrument Centres International Organizations (IAEA, CTBTO, UNEP, FAO.. ) GAW World Data Centres GCOS Data Centres Global Run-off Data Centre Global Precip. Climatology Centre IRI, Hadley Centre, and other climate research centres; Universities; Regional Climate Centres (CIIFEN, etc.) Commercial Service Providers WMO World Data Centres International Projects (e.g. GMES HALO) internet Real-time “push”

26. WIS contribution to GEO W M O Weather Domain Climate Domain Water Domain GTS IGDDS W I S Internet GEO-NetCast G E O Health Energy Disasters Weather Climate Water Agriculture Ecosystems Biodiversity

27. Thank You