Simplified Access to Massive Climate Modeling Data Sets for End Users

Award Information
Agency:
Department of Energy
Branch
n/a
Amount:
$149,999.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
DE-FG02-13ER90588
Award Id:
n/a
Agency Tracking Number:
83916
Solicitation Year:
2013
Solicitation Topic Code:
19 a
Solicitation Number:
DE-FOA-0000760
Small Business Information
240 W Elmwood Dr, Suite 2010, Dayton, OH, 45459-4248
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
141943030
Principal Investigator:
GeraldSabin
Dr.
(937) 433-2886
gsabin@Rnet-Tech.com
Business Contact:
V.Nagarajan
Dr.
() -
vnagarajan@Rnet-Tech.com
Research Institute:
Stub




Abstract
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.

* information listed above is at the time of submission.

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