| NSF Org: |
AGS Div Atmospheric & Geospace Sciences |
| Recipient: |
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| Initial Amendment Date: | September 16, 2003 |
| Latest Amendment Date: | April 14, 2009 |
| Award Number: | 0331480 |
| Award Instrument: | Cooperative Agreement |
| Program Manager: |
Stephan P. Nelson
AGS �Div Atmospheric & Geospace Sciences GEO �Directorate For Geosciences |
| Start Date: | October 1, 2003 |
| End Date: | September 30, 2009�(Estimated) |
| Total Intended Award Amount: | $1,900,000.00 |
| Total Awarded Amount to Date: | $2,234,101.00 |
| Funds Obligated to Date: |
FY 2004 = $372,434.00 FY 2005 = $503,467.00 FY 2006 = $411,305.00 FY 2007 = $514,072.00 FY 2009 = $94,664.00 |
| History of Investigator: |
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| Recipient Sponsored Research Office: |
107 S INDIANA AVE BLOOMINGTON IN �US �47405-7000 (317)278-3473 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
107 S INDIANA AVE BLOOMINGTON IN �US �47405-7000 |
| Primary Place of Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): |
Physical & Dynamic Meteorology, ITR LARGE GRANTS, CYBERINFRASTRUCTURE |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.050 |
ABSTRACT
Each year across the United States, floods, tornadoes, hail, strong winds, lightning, and winter storms cause hundreds of deaths and result in annual economic losses of more than $13B. Their mitigation is stifled by rigid information technology frameworks that cannot accommodate the unique real time, on-demand, and dynamically-adaptive needs of weather research.
Linked Environments for Atmospheric Discovery (LEAD), the foundation of which is a series of interconnected virtual "Grid environments," allows scientists and students to access, prepare, predict, manage, analyze, and visualize a broad array of meteorological information independent of format and physical location. A transforming element of LEAD is the ability for analysis tools, forecast models, and data repositories to function as dynamically adaptive, on-demand systems that can change configuration rapidly and automatically in response to the evolving weather; respond immediately to user decisions based upon the weather problem at hand; and steer remote observing systems to optimize data collection and forecast/warning quality.
LEAD will allow researchers, educators, and students to run atmospheric models and other tools in much more realistic, real time settings than is now possible, hasten the transition of research results to operations, and bring the pedagogical benefits of sophisticated atmospheric science tools into high school classrooms for the first time. Its capabilities will be integrated into dozens of universities and operational research centers that collectively reach 21,000 university students, 1800 faculty, and hundreds of operational practitioners.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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