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| <h1>About Project</h1> |
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| <p>This project aims to develop an online collaborative working environment, where scientists can not only efficiently perform their |
| climate data analyses but also effectively share their analysis tools, datasets, and results with others. This project is based on a tight collaboration between Jet Propulsion |
| Laboratory (JPL) and Carnegie Mellon University (CMU).</p> |
| <p>JPL has developed a technology that wraps existing climate data analysis tools into web services, with programmable interfaces that are universally accessible from the Internet. |
| Based on the technology, JPL has developed a collection of web services that enable multi-aspect physics-based and phenomenon-oriented climate model performance evaluation and |
| diagnosis through the comprehensive and synergistic use of multiple observational data, reanalysis data, and model outputs. The system is called Climate Model Diagnostic Analyzer (CMDA).</p> |
| <p>CMU has developed a technology to model software usage behaviors into social networks, and based on semantics-oriented analytics to assist Earth scientists in designing data |
| analysis procedures. Using the technology, CMU has developed a semantic model for CMDA services in order to capture various hidden relationships, including semantic relationships |
| and usage relationships in CMDA services, to help users not only learn available datasets and web services, but also learn how to use them and design climate analytics workflows |
| faster than before. CMU has also developed a provenance model to record and track scientists’ activities and behaviors using CMDA services.</p> |
| <p>One of the key outcomes of this project will be a repository of climate data analytics web services, equipped with mechanisms to organize and manage these climate analytics |
| services and help share and reuse the services properly. Our vision is that the climate data analytics web services can be shared, organized, searched, and recommended like photos |
| and videos on YouTube and Shutterfly. We intend to build the web service repository with a full understanding of the needs of the Earth science researchers, and make it easy for the |
| next-generation Earth scientists to contribute to a pool of data analytics tools, build communities, and form collaborative relationships.</p> |
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