To support sustained progress in the computational Earth System science, radically new techniques must be developed and tested in anticipation of emerging technology trends and scientific goals. Because of its unique juxtaposition of computer science, applied mathematics, statistics, and domain expertise, CISL is strongly positioned to function as a leading interdisciplinary computational science laboratory supporting these advancements in partnership with the atmospheric science community.
Scientific demands continually push the capabilities of current computing technology; rapidly changing technologies in turn pull scientific fantasy into the realm of the feasible. The push and pull of this feedback loop between computational science and computing technology is both fueled by and in turn fuels algorithmic research, which is powered by basic, curiosity-driven computer science, applied mathematics, and statistics research.
The research activity within CISL enhances the computational infrastructure at NCAR and supports more efficient scientific computation and simulation. This research is necessary to maintain an innovative computational facility and to lead the geophysics community in incorporating new numerical methods and models. Given this broad priority, the research in CISL must span several disciplines and address computational science at many levels. CISL functions as a science lab through its Institute for Mathematics Applied to Geosciences (IMAGe), the Computer Science Section, and the Visualization and Enabling Technologies Section.
CISL's Institute for Mathematics Applied to Geosciences (IMAGe) brings mathematical models and tools to bear on fundamental problems in the geosciences, and is a nexus for the mathematical and geophysical communities. The Institute is currenly organized around four groups in applied mathematics who collaborate with nearly every research group at NCAR and have numerous ties to researchers outside of our center.
In addition, CISL maintains a portfolio of research models to drive forward basic scientific research in computational fluids and in basic algorithmic research.
CISL conducts research in computational science and software engineering. and is involved in technology tracking and benchmarking efforts. We also develop open source software packages and numerical libraries to make use of this research in atmosphere, ocean, and geoscience models.
See the Computer Science Section (CSS)
Creating visual images from extensive data sets is a valuable resource to scientists, allowing them to more easily "see" the processes and events they are studying. CISL boasts an impressive suite of tools for visualizing data, including software and a a state-of-the-art 3-D visualization lab.
See the Visualization & Enabling Technologies Section (VETS)