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ClimatePipes: User-Friendly Data Access, Data Manipulation, Data Analysis and Visualization of Community Climate Models

Award Information
Agency: Department of Energy
Branch: N/A
Contract: DE-FG02-11ER90026
Agency Tracking Number: 97306
Amount: $999,999.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 30 a
Solicitation Number: DE-FOA-0000676
Timeline
Solicitation Year: 2012
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-08-08
Award End Date (Contract End Date): 2014-08-07
Small Business Information
28 Corporate Drive
Clifton Park, NY -
United States
DUNS: 010926207
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Berk Geveci
 Dr.
 (518) 371-3971
 berk.geveci@kitware.com
Business Contact
 Katherine Schroeder
Title: Dr.
Phone: (518) 371-3971
Email: comm@kitware.com
Research Institution
 Stub
Abstract

Observations unequivocally show that the global climate is changing and the results are dramatic. With the accelerating pace of climate change, the impact of these changes will resonate through a broad range of fields including public health, infrastructure, water resources, and many others. These stakeholders need access to and resources for using climate data that are designed with the non-researcher in mind. Unfortunately, this is impeded by factors such as large data size, lack of adequate metadata, poor documentation, and lack of sufficient computational and visualization resources. The aim of this proposal is to develop ClimatePipes, a platform that will provide mechanisms to make this valuable data available to non-researchers including policy makers, health officials, agriculturalists, and industry leaders. The ClimatePipes cyberinfrastructure will provide state-of-the-art, user-friendly access, analysis, and visualization of data generated from high-resolution, long-term, climate change projections performed as part of the U.S. Global Change Research Program, the DOE-funded ESGF, NSF-funded DataONE, and NASA-funded EOSDIS. ClimatePipes is not a replacement for high-end tools for scientists, but instead provides simple, intuitive, and effective workflows that can be used by non-researchers and non-programmers. It builds on top of existing high-end tools, and is designed to easily leverage functionality added to those tools, thus ensuring state-of-the-art functionality in the years to come. ClimatePipes was successfully developed as a web-based tool that provides workflow and form-based interfaces for accessing, querying, and visualizing interesting datasets from one or more sources. This was integrated with ESGF and tools from UV-CDAT for the purpose of data manipulation and visualization. ClimatePipes demonstrated production of relevant data and visualizations in response to natural language queries. Will focus on implementation of mechanisms for supporting more elaborate and relevant queries, and improvements to the usability, robustness and scalability of the system. In order to support these types of queries, the team will develop a semantic search tool using natural language processing techniques. The team will also add the capability to perform appropriate transformations to bring relevant data into a common reference system. Upon completion of Phase II, ClimatePipes will provide an interface for running computations in the cloud or on a user-provided cluster, to accommodate the compute power required. Further, the team will develop custom visualizations for climate applications, an API, and an appropriate user interface for uploading data to the server for analyses and integration.

* Information listed above is at the time of submission. *

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