Climate Modeling


MULTISCALE Methods for Accurate, Efficient, and Scale-Aware Earth System Models

DOE-SC-Biological and Environmental Research

MULTISCALE is a Scientific Discovery Through Advanced Computing (SciDAC) Earth System Modeling project, begun in July 2012 and running through July 2017, with the primary goal of producing better climate models to serve as the scientific tools and predictive tools that will address the needs of both the climate sciences and policy-oriented communities. Here are notable features of MULTISCALE:

  • Grand challenges in projecting the future of the Earth’s climate result from the interactions among small-scale features and large-scale structures of the ocean and atmosphere in climate models.
  • A generation of models that capture the structure and evolution of the climate system across a broad range of spatial and temporal scales is required.

MULTISCALE is an integrated team of climate and computational scientists working to accelerate the development and integration of multiscale atmospheric and oceanic parameterizations into the Community Earth System Model (CESM).

MULTISCALE is jointly funded by the Biological and Environmental Research (BER) and Advanced Scientific Computing Research (ASCR) programs in the U.S. Department of Energy Office of Science.

Participating Institutions:

US region

Image showing increased lighting strikes in this century (D. Romps).

Los Alamos National Laboratory (LANL)
Lawrence Berkeley National Laboratory (LBNL)
Lawrence Livermore National Laboratory (LLNL)
Oak Ridge National Laboratory (ORNL)
Pacific Northwest National Laboratory (PNNL)
Sandia National Laboratories (SNL)
Colorado State University (CSU)
National Center for Atmospheric Research (NCAR)
University of California, Los Angeles (UCLA)
University of Wisconsin – Milwaukee (UWM)