The BER SciDAC Partnerships efforts focus on two main research thrusts: climate and environmental sciences and biological systems. Partnerships in climate and environmental sciences aim to advance the simulation and predictive capabilities of state-of-science climate modeling and provide improved models for better understanding the movement of subsurface contamination. Partnerships in biological systems seek to develop new methods for modeling complex biological systems, including molecular complexes, metabolic and signaling pathways, individual cells and, ultimately, interacting organisms and ecosystems.
Multiscale Methods for Accurate, Efficient, and Scale-Aware Models of the Earth System
This projects aims to produce better models for critical processes and constituents from ocean-eddy and cloud-system to global scales through improved physical and computational implementations.
Lead Investigator: William Collins (firstname.lastname@example.org)
Lawrence Berkeley National Laboratory
Predicting Ice Sheet and Climate Evolution at Extreme Scales (PISCEES)
PISCEES aims to enable quantitative predictions of coupled ice-sheet/climate evolution using a new generation of high-performance computers and computational tools.
Lead Investigator: Stephen F Price (email@example.com)
Los Alamos National Laboratory
Lead Investigator: Esmond Ng (firstname.lastname@example.org)
Lawrence Berkeley Laboratory
Applying Computationally Efficient Schemes for BioGeochemical Cycles (ACES4BGC)
The ACES4BGC Project seeks to advance the predictive capabilities of Earth System Models (ESMs) by reducing two of the largest sources of uncertainty, aerosols and biospheric feedbacks, with a highly efficient computational approach.
Lead Investigator: Forrest M. Hoffman (email@example.com)
Oak Ridge National Laboratory