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Scope of Meteo/GIS in the International Context

Scope of Meteo/GIS in the International Context. Olga Wilhelmi NCAR ADAGUC Workshop KNMI October 3-4 2006. Outline. Current state in integration of GIS and Atmospheric Sciences Progress Challenges Usability of atmospheric data in GIS

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Scope of Meteo/GIS in the International Context

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  1. Scope of Meteo/GIS in the International Context Olga Wilhelmi NCAR ADAGUC Workshop KNMI October 3-4 2006

  2. Outline • Current state in integration of GIS and Atmospheric Sciences • Progress • Challenges • Usability of atmospheric data in GIS • Usability and uses of GIS for meteorological and climatological applications • Future directions

  3. The Purpose • Challenges of earth system science research community include: • integration of complex physical processes into weather forecast and climate system models • understanding interactions between climate, environment, and society • integrating social and environmental information with weather and climate • It is important to make atmospheric science usable and data accessible to a wide community of users, including researchers, educators, practitioners and policy-makers

  4. The Challenge

  5. The Challenge (cont.) • Methods and concepts • Limited knowledge of GIS concepts and data models among atmospheric scientists • GIS community is making faster progress in adopting atmospheric concepts than atmospheric community adopting GIS concepts • Technology • Dimensions • Interoperability between applications • Data • Formats • Semantics • People • Learning curve • Adoption of standards and data management practices

  6. International Activities • COST 719 (2001-2006) • NCAR GIS Initiative (2001- present) • Professional societies (EGU, AMS) • University Consortium for Geographic Information Science • Open Geospatial Consortium • ESRI Atmospheric User Group • Others

  7. Uses of GIS • Visualization of information • Spatial analysis (exploration of spatial patterns, relationships, networks; spatial statistics) • Data distribution (web portals; web services) • Data integration (interoperability; coupled systems, interdisciplinary research) • First, need to resolve issues related to data usability and interoperability

  8. Usability of Atmospheric Data • Atmospheric Data Modeling working group categorized atmospheric data for usability in GIS as • GIS Ready (fully described, point and click) • GIS Friendly (some effort to transform into GIS-Ready; “not so friendly” if heavy processing needed) • GIS Alien (cannot be fully described)

  9. GIS Ready:Existing GIS Data Structures Shipley et al.

  10. GIS Friendly:Images require additional info 500 hPa chart on ArcGlobe World File QTUA11.tif QTUA11.tfw 14861.3 -36.775 -5.697 -14922.7 -12838043.0 10927734.5 QTUA11.aux Projection Shipley et al.

  11. GIS Friendly: Data Processing Required Lidar cross section over Cincinnati, OH Shipley et al.

  12. GIS Alien (at least for now)Meteogram P (x,y,z,t), attributes {p,q,u,v,…} Time Series weather forecast (Meteogram) for Washington DC, starting 21 June 2006 Shipley et al.

  13. Potential GIS Data Structures Shipley et al.

  14. NetCDF in ArcGIS (now GIS-Ready) • In ArcGIS 9.2 NetCDF data is accessed as Raster Feature Table • Direct read • Exports GIS data to netCDF

  15. NetCDF Tools • Toolbox: Multidimension Tools • Make NetCDF Raster Layer • Make NetCDF Feature Layer • Make NetCDF Table View • Raster to NetCDF • Feature to NetCDF • Table to NetCDF • Select by Dimension

  16. Using NetCDF Data • Display • Same display tools for raster and feature layers will work on netCDF raster and netCDF feature layers. • Graphing • Driven by the table just like any other chart. • Animation • Multidimensional data can be animated through a dimension (e.g. time, pressure, elevation) • Analysis Tools • A netCDF layer or table will work just like any other raster layer, feature layer, or table. (e.g. create buffers around netCDF points, re-project rasters, query tables, etc.) • Python

  17. Data Visualization • Symbology • Identifying common symbols and creating defaults for weather and climate variables • Integrating ESRI layer file and OGC style files • Developing 3-D symbols for weather phenomena • Use naming standards from CF convention

  18. Spatial Analysis • Interpolation methods • More progress in interpolating climate data than weather data • Challenges • Temporal analysis (e.g., time series statistics, temporal interpolation, analysis and modeling of transitions, raster time series) • Working across scales (upscaling, downscaling) • Many suitable existing geoprocessing tools for • Model verification • Impact and risk assessment (interdisciplinary) • Spatial patterns and suitability analysis

  19. Example: Impacts of Climate Change

  20. Data Integration GIS Client AIS Client • Coordinate Systems – • Many atmospheric models are based on a sphere – much GIS data is based on an ellipsoid • Temporal coordinate systems • Interoperability • Data • Applications

  21. Web portals Data Discovery Data Distribution

  22. Example: GIS Climate Change Data Portal • Distributing outputs from NCAR’s Global Climate Model (CCSM) in a GIS format (shapefile, text file) • Ongoing work: downscaling http://www.gisClimateChange.org

  23. Users of GIS Climate Change Data Portal Resource management Biomass potential Salmon conservation • Since February 2005: 127K hits, 15K files downloaded, more than 1200 registered users from 95 countries • Many non-traditional users • Challenge: education about appropriate use of data Climate Change Education Water Resources Agriculture Energy Human Health

  24. Future Direction • Distributed collaboratories for geosciences • Increased computing capacity and capability • Increased focus on multidisciplinary research • Web services • Self-contained, modular applications that can be described, published, and accessed over the Internet • promote interoperability by minimizing the requirements for understanding between client and service and between services • Extensible, interoperable web services for data discovery, access and transformation • Data services (e.g., WMS, WFC, WCS, ArcGIS server) • Geoprocessing services (web GIS, ArcGIS server) • Catalog services (e.g., THREDDS, CS-W)

  25. Summary • We are seeing progress in integration of GIS with atmospheric sciences, however many challenges remain • Ongoing work with international data standards, web services, and integration of atmospheric and geospatial data make steps towards better understanding of the Earth System and solving societally relevant problems • ADAGUC is on the right track for addressing challenging questions of data distribution and interoperability

  26. Thank You! For more information: http://www.gis.ucar.edu E-mail: olgaw@ucar.edu

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