Download
the arctic observing network aon cooperative n.
Skip this Video
Loading SlideShow in 5 Seconds..
The Arctic Observing Network (AON) Cooperative Arctic Data and Information Service (CADIS ) PowerPoint Presentation
Download Presentation
The Arctic Observing Network (AON) Cooperative Arctic Data and Information Service (CADIS )

The Arctic Observing Network (AON) Cooperative Arctic Data and Information Service (CADIS )

0 Views Download Presentation
Download Presentation

The Arctic Observing Network (AON) Cooperative Arctic Data and Information Service (CADIS )

- - - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

  1. The Arctic Observing Network (AON) Cooperative Arctic Data and Information Service (CADIS) Florence Fetterer, James Moore, Don Middleton Mohan Ramamurthy, Michael Burek, Don Stott, Jeff Weber, Mark Parsons Second AON PI Meeting Arctic Observing Integration Workshops Palisades, NY 17-20 March 2008 http://www.eol.ucar.edu/projects/aon-cadis/

  2. Primary CADIS Goals • Be a flexible, evolving AON Data Portal • Support NSF IPY AON data streams • Strive to develop end-to-end data services including data discovery, ingest and distribution capabilities • Emphasis on developing a unifying metadata standard that is compatible with ISO, IPY and other international conventions • Build a consensus data set format that will allow one to display, subset and analyze AON network data • Objective: Submitting data to CADIS facilitates data integration http://www.eol.ucar.edu/projects/aon-cadis/

  3. Striving to Meet PI and Community Expectations • Enter metadata quickly, efficiently, and without confusion • Find my own data and display it • Display it over or with other data sets of interest (that may or may not be in the CADIS system) • Mathematically manipulate data • Export in a choice of formats • Easy to use, graphical interfaces Some examples to emulate ArcticRIMS - http://RIMS.unh.edu NOAA ESRL PSD - http://www.cdc.noaa.gov/PublicData/ http://www.eol.ucar.edu/projects/aon-cadis/

  4. AON Site Pan-Arctic Distribution http://www.eol.ucar.edu/projects/aon-cadis/ Map by Scot Loehrer

  5. (Composite Google, IDV, GIS, MATLAB) CADIS/AON Portal Analysis and Visualization Tools Google Search RSS Feeds The CADIS System and Building Blocks Users and data providers The AON PIs NSIDC IASOA http://www.eol.ucar.edu/projects/aon-cadis/

  6. Summary • Just completing first year of CADIS development • Data/Metadata entry Portal testing and implementation underway • 2007 data sets and metadata can be entered at the AON-CADIS Portal now • CADIS features to evolve with improvements in Community Data Portal interface http://www.eol.ucar.edu/projects/aon-cadis/

  7. CADIS Features and Capabilities • CADIS GIS Mapserver (Fetterer for Scot Loehrer) • CADIS Metadata and Data Portal description and function (Don Stott and Michael Burek) • Visualization using Google Earth (Fetterer for Ross Swick) • Visualization using IDV (Jeff Weber) http://www.eol.ucar.edu/projects/aon-cadis/

  8. CADIS Web Site Implementation of GIS Mapserver • Allows perusal of pan-Arctic mapping of all AON projects • Allows zoom and roam to areas of interest • Allows layering by project • Allows query of any site’s information and display of general information • Has direct links to data sets in the archive http://www.eol.ucar.edu/projects/aon-cadis/

  9. AON-CADIS Mapserver http://mapserver.eol.ucar.edu/aon-cadis Display Map Legend Navigation Options Choose Layer(s) to View http://www.eol.ucar.edu/projects/aon-cadis/

  10. AON-CADIS Mapserver Navigation Options Rubber band box zoom Zoom out and re-center where click Move map Find out further information about a location Focus map on Alaska Measure distances between two points or along a path Refresh map to base state Go to the AON-CADIS Home Page http://www.eol.ucar.edu/projects/aon-cadis/

  11. AON-CADIS Mapserver Example of output from button Selected this location http://www.eol.ucar.edu/projects/aon-cadis/

  12. Metadata and Data Portal http://www.eol.ucar.edu/projects/aon-cadis/

  13. Metadata and Data Portal http://www.eol.ucar.edu/projects/aon-cadis/

  14. Metadata and Data Portal http://www.eol.ucar.edu/projects/aon-cadis/

  15. Metadata and Data Portal http://www.eol.ucar.edu/projects/aon-cadis/

  16. Metadata and Data Portal http://www.eol.ucar.edu/projects/aon-cadis/

  17. Metadata and Data Portal http://www.eol.ucar.edu/projects/aon-cadis/

  18. Metadata and Data Portal http://www.eol.ucar.edu/projects/aon-cadis/

  19. Metadata and Data Portal http://www.eol.ucar.edu/projects/aon-cadis/

  20. Analysis and Visualization • To analyze and visualize AON and related data, CADIS is providing support for a hierarchy of tools that meet diverse user needs, including: • Simple, web browser-based displays via a Live Access Server • Visualizations using Map Server, an environment for rendering geospatial data • Visualizations using Google Earth, including the ability to generate, on demand, GE compatible products from CADIS • Unidata Integrated Data Viewer, a full-featured desktop tool for analyzing, visualizing and integrating diverse data sets in the Earth Sciences • The NCAR Command Language (NCL) package for sophisticated data manipulation and visualization of Earth Science data http://www.eol.ucar.edu/projects/aon-cadis/

  21. Analysis and Visualization –Live Access Server http://www.eol.ucar.edu/projects/aon-cadis/

  22. CADIS Next Steps • Continue to upload AON project metadata and data • Work with PIs to prepare data and metadata • Modify and augment CADIS Portal based on PI interaction and recommendations • Continue development of visualization tools http://www.eol.ucar.edu/projects/aon-cadis/

  23. Tomorrow’s CADIS Portal Workshop • CADIS Data Portal Overview – Don Stott and Michael Burek • NetCDF and Other Conversions – Help is Available – Jeff Weber • break • One on one assistance with the Data Portal http://www.eol.ucar.edu/projects/aon-cadis/

  24. Google Earth example • Good outreach tool • Small learning curve • Instant data integration • Can be easier to put data into GE than into more capable tools like IDV or GIS • But browse tool only, it’s not for analysis • Can get bogged down, if too many, or too big files • Demo: • 24 IABP Argos buoys from 1985-1994 with 2007 substituted for the true year. Shown: one record per day • Monthly sea ice extent for 2007 http://www.eol.ucar.edu/projects/aon-cadis/