1 / 15

An Update on GrADS

An Update on GrADS. Brian Doty and Jennifer Adams. GrADS Capabilities. GrADS is an interactive tool for the analysis and visualization of geoscience data Open source and freely available GrADS has 2 data models 5-D gridded data In situ (station data

jera
Télécharger la présentation

An Update on GrADS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. An Update on GrADS Brian Doty and Jennifer Adams

  2. GrADS Capabilities • GrADS is an interactive tool for the analysis and visualization of geoscience data • Open source and freely available • GrADS has 2 data models • 5-D gridded data • In situ (station data • GrADS can read all the standard data formats • Binary • BUFR • GRIB (versions 1 and 2) • HDF (versions 4 and 5) • NetCDF (versions 3 and 4) • Missing data handled consistently throughout • Expression syntax is flexible, compact, recursive • Programmable interface for scripting • Fast I/O and graphics

  3. 20+ Years of GrADS Begin version 2 development BAMS CD-ROM distribution GDS; OPeNDAP integration Rapid community adoption Name chosen; First release Scripting language added AMS Special Award User forum started First code written Version 2 alpha 2.0.0 released Survived Y2K 1995 2000 2005 1990 2010

  4. GrADS is Used Worldwide 77,500 downloads February 2010 - Present

  5. GrADS @ COLA • How does COLA benefit from GrADS? • Format neutralization facilitates COLA’s ”model agnostic” strategy • Collaboration expedited by script-sharing • Easy, format-independent metadata harvesting for COLA’s data management strategic plan • In-house expertise for immediate help and code changes • new and complex data sets • very high resolution data • optimization of scripts • beautification of published figures • How does GrADS benefit from COLA? •  Feedback from scientists (deliberate and accidental) • Development needs are readily apparent • Pre-release testing of new features

  6. Easy Multi-Model IntercomparisonError in July Mean Total Precipitation (in meters) ECMWF IFS - TRMM Japan NICAM - TRMM NOAA CFSv2 - TRMM NCAR CCSM4 - TRMM

  7. GrADS @ COLA • How does COLA benefit from GrADS? • Format neutralization facilitates COLA’s ”model agnostic” strategy • Collaboration expedited by script-sharing • Easy, format-independent metadata harvesting for COLA’s data management strategic plan • In-house expertise for immediate help and code changes • new and complex data sets • very high resolution data • optimization of scripts • beautification of published figures • How does GrADS benefit from COLA? •  Feedback from scientists (deliberate and accidental) • Development needs are readily apparent • Pre-release testing of new features

  8. GrADS 2.0.0 Highlights • Major changes to the core of GrADS: • Added 5th data dimension (targeted to ensembles) • Internal data handling in double precision • More consistent missing data handling • Very stable: bugs fixed, memory leaks patched • New data formats • GRIB2 • HDF5 • NetCDF4 • Early adopter of compression features • GISInterface • Read shapefiles • Output shapefiles, GeoTIFF, and KML

  9. The New Shaded Contouring Algorithm

  10. Station Data Shapefile from GrADS in ArcMap(Dressed up with Topography, Political Boundaries, and City Names)

  11. OLR and Precip Data from GrADS in Google Earth 05Z 23May2009

  12. Climate Prediction Center’s GIS Portal An interactive, web-based system to display CPC products together with supplemental geographical data

  13. What’s Next • New options for rendering the graphics • Use of Cairo library for X11, image, and hardcopy drawing • Old methods still available • Design of new data analysis capabilities • EOFs, Sorting, etc. • Internal/External operations on defined objects (defop)

  14. GrADS in the Cloud • Using GrADS in the new cloud computing paradigm • COLA has considerable expertise and experience in remote data analysis • Pioneered server-side analysis with GDS • Currently managing off-site computing at 3 remote centers • Will mobile cloud-based computing change how we do our science work? Live Demo @ Poster Session Experimental prototype of GrADS running as a "cloud" service

More Related