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An Update on COLA’s Software Development

An Update on COLA’s Software Development. Jennifer M. Adams and Brian Doty. Software Components. GrADS An interactive tool for geoscience data analysis and visualization GrADS Data Server (GDS) An OPeNDAP server that provides remote data access, subsetting , and server-side analysis

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An Update on COLA’s Software Development

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  1. An Update on COLA’s Software Development Jennifer M. Adams and Brian Doty

  2. Software Components GrADSAn interactive tool for geoscience data analysis and visualization GrADS Data Server (GDS) An OPeNDAP server that provides remote data access, subsetting, and server-side analysis Greta A web-based searchable cataloguefor all of IGES’s data holdings

  3. GrADS Release Highlights • Major changes to the core of GrADS: • Added 5th dimension for ensembles • Internal data handling in double precision • New GDS Release: • Ensemble data via OPeNDAP • GDS can serve all GrADS-readable data set • GrADS is a client for all GDS data sets • New Analysis capabilities: • Slice diagonally through ensembles

  4. GrADS Release Highlights (cont’d) • Added interfaces for reading new data formats: • GRIB 2 • HDF 5 • Compressed NetCDF-4 • Shapefile • New options for creating output in various formats: • NetCDF (classic and compressed) • GeoTIFF • KML

  5. Other Noteworthy Accomplishments GrADS team partnered with NOAA Climate Prediction Center to develop products for GIS applications GrADS team received funding fromNASA’s Applied Information Systems Research Program (AISRP) THORPEX Interactive Grand Global Ensemble (TIGGE) forecast data are behind GDS at NCAR COLA assumed management of GrADS users forum

  6. Diagonal Slicing Through a Set of Lag Ensembles

  7. GrADS Display of Cloud Fraction (AURA L2G in HDF5 format)

  8. GrADS Plot of GFS Precipitation Data Displayed in Google Earth

  9. GrADS Integrates GIS and Gridded Data FormatsPalmer Drought Severity Index in U.S. Climate Zones with 500mb Height Anomalies, July 1993

  10. GrADS Integrates Gridded and GIS Data FormatsGridded Radar Observations during Snowmageddon, 12Z 6 Feb 2010 with Roads and State and County Boundaries WSR-88DBase Reflectivity [dBZ]

  11. In Support of High Resolution Climate Modeling Data volume reduction using NetCDF-4 compression:6.4 : 1 (84%) soil moisture 3.7 : 1 (73%) precipitation 1.5 : 1 (33%)u-windImproved I/O performance:Calculate a time series of zonal means 50 Mb grid, 12 time steps 26 seconds (netCDF-4) vs. 11.5 minutes (binary) Handling of Very Large GRIB Files 47-year IFS AMIP and Time Slice Runs Visualization Image generation shortcuts, animation techniques

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