Indiana University

Follow us on Facebook!

Linked Environments for Atmospheric Discovery II (LEAD II)

Overview
LEAD II is a follow-on to the successful Linked Environments for Atmospheric Discovery NSF funded large-scale ITR. LEAD II carries the vision of LEAD forward into new areas as it explores research challenges in hybrid computing and in the manipulation and use of weather data in non-weather applications.

The LEAD II project utilizes the LDM system to ingest gigabytes of publicly-available weather data on a daily basis, for use in meteorological analysis, metadata collection, and workflow systems research.  The products ingested include NEXRAD Level 2, ADASRapid Update Cycle (RUC), and North American Mesoscale (NAM) data.  The NAM data has resolutions of 12KM and 40KM. 

Resources

 
Project Contributors
  • Primary Investigators:
    • Keith Brewster (University of Oklahoma)
    • Craig Mattocks (University of North Carolina, Chapel Hill)
    • Beth Plale (Indiana University)
  • Ashish Bhangale
  • Kavitha Chandrasekar
  • Jeff Cox
  • Gamal El Afandi
  • Chathura Herath
  • Scott Jensen
  • Yuan Luo
  • Felix Terkhorn
  • Tejas Totade
  • Prashant Sabhnani
  • Yiming Sun
  • Eran Chinthaka Withana

 

Sponsors, Oct 2003 - present

Publications

Click here or see below.

Related News, Events and Publications:

Indiana University offering affordable online certificate in data science “We’re excited to launch one of the first and broadest online data science programs in the nation,” Dean Bobby Schnabel said.
Cloud for Climate: Advancing Data & Resource Management This project develops a pipeline framework for running ensemble simulations on the cloud; the framework has two key components: ensemble deployment and metadata harvest. Regarding the former, on commercial cloud platforms typically a much smaller number of jobs than desired can be started at any one time. An ensemble run will need to be pipelined to a cloud resource, that is, executed in well-controlled batches over a period of time.
SI2-SSE Pipeline Framework for Ensemble Runs on the Cloud Poster, quad chart and abstract for SI2 project meeting.
D2I visualizes Vortex2 data set in World Wide Telescope (WWT)

Great resource for understanding the D2I-Vortex2 data set. All 173 Vortex2 records are visualized with exact coordinate information.  Based on this data, the Data to Insight Center successfully executed 214 workflows, used 109,568 CPU hours, generated 215 GB of data and over 9100 2D products.

2012 Fall Seminar Series D2I hosts a series of seminars each semester. Click here for dates, locations, abstracts, bios, slides, archives of talks and general information about the Fall 2012 Seminar Series.
Indiana University Pervasive Technology Institute Report to the Lilly Endowment, Inc. 48 Month Program Report Jun 1 - Nov 30, 2012 Bi-Annual report to the Lilly Endowment, Inc. Search for "Lilly Report" to find all reports.
Conducting K-12 Outreach to Evoke Early Interest in IT, Science, and Advanced Technology Paper presented at the XSEDE Conference in Chicago, IL. Robert Ping of D2I is a co-author.
IU receives NSF grant to help climate scientists protect coastal cities Beth Plale, director of IU's Data to Insight Center and the project's principal investigator, will use a commercial cloud computing platform to improve the use of coastal ocean models.
Weather Forecast Data from The D2I-Vortex2 project. The weather forecasting took place April 30th to June 15, 2010. All 173 Vortex2 records are visualized with exact coordinate information. Based on this data, the Data to Insight Center successfully executed 214 workflows, used 109,568 CPU hours, generated 215 GB of data and over 9100 2D products.
Middleware alternatives for storm surge predictions in Windows Azure Prof. Plale introduces research D2I will carry forward with a new project in conjunction with Craig Mattocks from University of Miami. Attendees included representatives from the National Hurricane Center and the National Weather Service. May 2, 2012.