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Simplified Access to Massive Climate Modeling Data Sets for End Users

Award Information

Department of Energy
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
19 a
Solicitation Number:
Small Business Information
RNET TechNologies, Inc.
240 W Elmwood Drive Suite 2010 Dayton, OH -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2013
Title: Simplified Access to Massive Climate Modeling Data Sets for End Users
Agency: DOE
Contract: DE-FG02-13ER90588
Award Amount: $149,999.00


The modeling data provides valuable insight into actual and potential climate changes, and has the po- tential to be leveraged by other researchers (e.g., agriculture, water resources, energy) and commercial users (who have requested access to such data). Despite the need for such data, only subsets of the data are accessible to other researchers and the general public. Climate modeling data can be difficult to dis- tribute to end users for multiple reasons; very large data sizes, high computational costs to allow users to select desired data, and varying data layouts optimized for high performance access rather than access by non-experts. Tools will be developed to automatically, and efficiently subset the climate modeling data and export the subset into an end-user convenient data layout using an SQL-like language. These tools will support a cloud based service that gives end-users access to entire climate modeling data sets. Commercial Applications and Other Benefits: The DOE, NASA, and NOAA have invested a significant research effort to develop long-term climate modeling and simulation data. The proposed tools will help limit the resources required to allow end- users full access to these data sets. This will allow the public to verify the data, but will also allow the inclusion of the data sets into a wide range of government and non-government projects.

Principal Investigator:

Gerald Sabin

Business Contact:

V. Nagarajan
Small Business Information at Submission:

Rnet Technologies, Inc.
240 W Elmwood Dr Suite 2010 Dayton, OH 45459-4248

EIN/Tax ID: 200098466
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No