DOE ASCR Grant: Advancing Ice Sheet Modeling Through Computational Science Research

The Office of Advanced Scientific Computing Research (ASCR) of the Office
of
Science (SC), U.S. Department of Energy (DOE), hereby announces its
interest in
receiving applications for Computational Science/Applied Mathematics
(AM)/Computer Science (CS) research to accelerate scientific and
computational
breakthroughs that can improve the representation of ice sheets and their
dynamics in state-of-the-science Climate Models. Applications should
complement
DOE SC funded climate modeling efforts and evidence partnerships and/or
collaborations with such efforts in the model of the DOE SC SciDAC
(Scientific
Discovery through Advanced Computing) Program.

Content Guidelines:

Applications should justify the impact of the proposed computational
science
research on advancing dynamical ice sheet modeling at the petascale for
improved understanding and prediction of global climate. Topics and content
may
include incorporation of scalable and parallel petascale solvers and
unstructured or structured grids into coupled models that include ice sheet

dynamics; performance and load balancing studies that improve scalability
and
performance; uncertainty quantification and verification/validation, as
well as
parallel I/O and technologically robust petascale data archival, retrieval,

management and visualization techniques and tools.

Structure and Organizational Guidelines:

(i) Applications should show clear evidence of collaborations and/or
partnerships with BER-ASCR funded SciDAC Projects and/or BER funded climate

modeling efforts and enhance these efforts.

(ii) Applications should clearly articulate management plans for the
project
and communication procedures for the collaborations and/or
partnerships.