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Enabling the Transition of CPC Products to GIS Format

Enhance the GrADS software to output GIS formats, improve analysis for multi-ensemble data, and integrate with ArcGIS server. Handle various data formats like netCDF and GRIB. Develop vector data compliant with Shapefile standards and produce GeoTIFF outputs.

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Enabling the Transition of CPC Products to GIS Format

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  1. Enabling the Transition of CPC Products to GIS Format Brian Doty Jennifer Adams Michael Halpert Viviane Silva

  2. Strategy • Enhance the GrADS software package to: • Output GIS formats • Improve analysis and data management for multi-ensemble multi-model data sets • CPC delivers products via the ArcGIS server

  3. The Grid Analysis and Display System (GrADS) • Integrated environment for data access, analysis, and display • Automation and batch processing • Open source; active open source community • Handles many data formats: binary, netCDF, HDF, GRIB1, GRIB2, BUFR • Distributed data via GDS and openDAP (GDS: GrADS Data Server)

  4. GIS Data Formats • Shapefile • Vector format • Enhance the GrADS graphics package to produce vector data compliant with Shapefile standards • Attribute database (metadata) • Use metadata already internal to GrADS where possible; provide interface to provide additional metadata • GeoTIFF • Raster format • Produce analytic grid products with GrADS and output directly to GeoTIFF format

  5. GrADS, Ensembles, Multi-model • Biggest design issue: How to handle time • Examples follow

  6. Ensemble Forecast Time Seriesat a fixed location Forecast Time --->

  7. Ensemble Forecast Grid at a fixed location Ensemble Member Forecast Time --->

  8. Two Ensemble Forecastsat a fixed location Ensemble Member Forecast Time --->

  9. Ten Ensemble Forecastsat a fixed location Ensemble Member Forecast Time --->

  10. 33 Ensemble Forecastsat a fixed location Ensemble Member Forecast Time --->

  11. Examples of Ensemble Data Sets • NCEP GFS Ensembles (GENS) • NCEP Short Range Ensemble Forecasts (SREF) • NCEP Climate Forecast System (CFS) • ESRL MRF Re-Forecasting Experiment • WCRP CMIP3 Multi-Model Data (IPCC AR4) • ENSEMBLES • THORPEX Interactive Grand Global Ensemble (TIGGE)

  12. Ensemble Data Sets Behind GDS 2.0 • Data become more usable and accessible • Subsets over all dimensions • Server-side analysis • File aggregation and format translation • Metadata standards:

  13. Ensemble Forecast Time Seriesat a fixed location Forecast Time --->

  14. Ensemble Forecast Time Seriesat a fixed location Forecast Time --->

  15. TIGGE Multi-Member Multi-Model Ensemble500mb Geopotential Height valid August 30, 2008 7-day Lead 5-day Lead 3-day Lead 1-day Lead

  16. TIGGE MME Forecast Error andEnsemble Spread 500mb Geopotential Height valid August 30, 2008 7-day Lead 5-day Lead 3-day Lead 1-day Lead

  17. TIGGE Multi-Member Multi-Model Ensemble500mb Geopotential Height valid August 30, 2008 7-day Lead 5-day Lead 3-day Lead 1-day Lead

  18. TIGGE MME Forecast Error andEnsemble Spread 500mb Geopotential Height valid August 30, 2008 7-day Lead 5-day Lead 3-day Lead 1-day Lead

  19. The End

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