Earth System Grid II Overview
Turning Climate Model Datasets Into Community Resources
The Earth System Grid II (ESG) is a new research project sponsored by the
U.S. DOE Office of Science under
the auspices of the Scientific Discovery through Advanced Computing program (SciDAC).
The primary goal of ESG is to address the formidable challenges associated with enabling
analysis of and knowledge development from global Earth System models.
Through a combination of Grid technologies and emerging community technology,
distributed federations of supercomputers and large-scale data & analysis
servers will provide a seamless and powerful environment that enables
the next generation of climate research.
Project Abstract
High-resolution, long-duration simulations performed with advanced DOE SciDAC/NCAR climate
models will produce tens of petabytes of output. To be useful, this output
must be made available to global change impacts researchers nationwide,
both at national laboratories and at universities, other research laboratories,
and other institutions. To this end, we propose to create a new Earth
System Grid, ESG-II - a virtual collaborative environment that links distributed
centers, users, models, and data. ESG-II will provide scientists with
virtual proximity to the distributed data and resources that they require
to perform their research. The creation of this environment will significantly
increase the scientific productivity of U.S. climate researchers by turning
climate datasets into community resources. In creating ESG-II, we will
integrate and extend a range of Grid and collaboratory technologies, including
the DODS remote access protocols for environmental data, Globus Toolkit
technologies for authentication, resource discovery, and resource access,
and Data Grid technologies developed in other projects. We will develop
new technologies for (1) creating and operating "filtering servers" capable
of performing sophisticated analyses, and (2) delivering results to users.
In so doing, we will simultaneously contribute to climate science and
advance the state of the art in collaboratory technology. We expect our
results to be useful to numerous other DOE projects. The three-year R&D
program will be undertaken by a talented and experienced team of computer
scientists at five laboratories (ANL, LBNL, LLNL, NCAR, ORNL) and one
university (ISI), working in close collaboration with climate scientists
at several sites.
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