
NSF Org: |
AGS Division of Atmospheric and Geospace Sciences |
Recipient: |
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Initial Amendment Date: | September 27, 2004 |
Latest Amendment Date: | September 25, 2008 |
Award Number: | 0427325 |
Award Instrument: | Cooperative Agreement |
Program Manager: |
Stephen Meacham
smeacham@nsf.gov (703)292-7599 AGS Division of Atmospheric and Geospace Sciences GEO Directorate for Geosciences |
Start Date: | October 1, 2004 |
End Date: | September 30, 2009 (Estimated) |
Total Intended Award Amount: | $0.00 |
Total Awarded Amount to Date: | $327,100.00 |
Funds Obligated to Date: |
FY 2005 = $8,248.00 FY 2006 = $82,434.00 FY 2007 = $77,933.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
1 NASSAU HALL PRINCETON NJ US 08544-2001 (609)258-3090 |
Sponsor Congressional District: |
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Primary Place of Performance: |
1 NASSAU HALL PRINCETON NJ US 08544-2001 |
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): |
CYBERINFRASTRUCTURE, ITR FOR NATIONAL PRIORITIES |
Primary Program Source: |
app-0105 app-0106 app-0107 |
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
This project will combine research on the management of large, real-time, data streams with research on algorithms for deriving rainfall estimates from raw radar data, to develop an information technology framework for use in the analysis of rainfall data from the NEXRAD radar network. It includes research on and the development of metadata for the NEXRAD raw data feed, archived NEXRAD data and derived data products, client libraries for retrieving metadata and data, and client applications for quality control, data preparation, and the generation of rainfall maps. If successful, the results should greatly reduce the time and effort required to locate relevant NEXRAD data and to convert it to rainfall fields that can be used to drive hydrologic models. The project will also help standardize the process of rainfall field generation, increasing the comparability of results from different hydrological modeling groups. The framework will include a browser for radar data, a map display of rainfall products, and an analyzer that permits the overlaying of geo-referenced rainfall fields, digital elevation models, and surface channel networks. Standard and customizable methods will be available for quality control and rainfall field generation by users of the system. Included in the tools planned for development is software to create merged rainfall products when more than one radar covers a region. If successful, the project will have a potential impact on hydrological science by providing the data that is the primary driver of dynamic hydrology in a fashion similar to the way weather data is available to weather researchers. This, in turn, will facilitate better prediction of soil erosion, flooding and landslides as well as improve environmental resource management. Because metadata is being included in THREDDS catalogs, NEXRAD data will become accessible through DLESE, the Digital Library for Earth Science Education.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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