MULTISCALE: Accurate, Efficient, and Scale-Aware Models of the Earth System

SciDAC Institute Investigators:
Bert J. Debusschere, QUEST Institute – Sandia National Laboratory
Leonard Oliker, SUPER Institute – Lawrence Berkeley National Laboratory
Samuel W. Williams, SUPER Institute – Lawrence Berkeley National Laboratory
Carol S. Woodward, FASTMath Institute – Lawrence Livermore National Laboratory

Science Team Leads:
Steven J. Ghan, Atmosphere Modeling – Pacific Northwest National Laboratory
Todd J. Ringler, Ocean Modeling – Los Alamos National Laboratory
Donald D. Lucas, Multiscale UQ – Lawrence Livermore National Laboratory
Carol S. Woodward, Computational Science – Lawrence Livermore National Laboratory

Some of the greatest challenges in projecting the future of Earth's climate result from the significant and complex interactions among small-scale features and large-scale structures of the ocean and atmosphere. In order to advanced Earth-system science, a new generation of models that capture the structure and evolution of the climate system across a broad range of spatial and temporal scales are required.

The MULTISCALE project’s primary goal is to produce better models for these critical processes and constituents, from ocean-eddy and cloud-system to global scales, through improved physical and computational implementations. An integrated team of climate and computational scientists will accelerate the development and integration of multiscale atmospheric and oceanic parameterizations into the DOE-NSF Community Earth System Model (CESM). The team’s technical objective is to introduce accurate and computationally efficient treatments of interactive clouds, convection, and eddies into the next generation of CESM at resolutions approaching the characteristic scales of these structures. The project delivers treatments of these processes and constituents, which are scientifically useful over resolutions ranging from 2 to 1/16 degrees.

The MULTISCALE team will develop, validate, and apply multiscale models of the climate system based upon atmospheric and oceanic components with variable resolution. The project will exploit new variable-resolution unstructured grids based on finite-element and finite-volume formulations developed by team members. Effective deployment of these dynamical cores will require significant and concurrent advances in time-stepping methods, grid generation, and automated optimization methods for next-generation computer architectures.

This project supports the goal of DOE's Office of Biological and Environmental Research (BER) to produce “improved scientific data and models about the potential response of the Earth's climate and terrestrial biosphere to increased greenhouse gas levels for policy makers to determine safe levels of greenhouse gases in the atmosphere.” The team's objectives are also aligned with the mission of DOE's Advanced Scientific Computing Research Office to “discover, develop, and deploy the computational and networking tools that enable researchers in the scientific disciplines to analyze, model, simulate, and predict complex phenomena important to the DOE."

The project is co-funded by ASCR and BER. For more information, contact Dr. Dorothy Koch or Dr. Randall Laviolette or visit the project website.

Project Term: 
2011 to 2016
Project Type: 
Laboratory Funded Research

Publications:

A Thickness-Weighted Average Perspective of Force Balance in an Idealized Circumpolar Current
A Unified Parameterization of Clouds and Turbulence using CLUBB and Subcolumns in the Community Atmosphere Model
Accelerating Time Integration for the Shallow Water Equations on the Sphere Using GPUs
Aerosol Specification in Single-Column Community Atmosphere Model Version 5
Algorithmically scalable block preconditioner for fully implicit shallow-water equations in CAM-SE
Analysis of Cloud-Resolving Model Simulations for Scale Dependence of Convective Momentum Transport
Evaluation of the aerosol vertical distribution in global aerosol models through comparison against CALIOP measurements: AeroCom phase II results
Future loss of Arctic sea-ice cover could drive a substantial decrease in California’s rainfall
Improving Representation of Convective Transport for Scale-Aware Parameterization, Part II: Analysis of Cloud-Resolving Model Simulations
Large Regional Shortwave Forcing by Anthropogenic Methane Informed by Jovian Observations
On the Use of Finite Difference Matrix-Vector Products in Newton-Krylov Solvers for Implicit Climate Dynamics with Spectral Elements
Optimization of the Eddy-Diffusivity/Mass-Flux Shallow Cumulus and Boundary-Layer Parameterization Using Surrogate Models
Parameterizing Deep Convection Using the Assumed Probability Density Function Method
Physics–Dynamics Coupling in Weather, Climate and Earth System Models: Challenges and Recent Progress
Progress in Fast, Accurate Multi-scale Climate Simulations
Quantifying the Impact of Sub-Grid Surface Wind Variability on Sea Salt and Dust Emissions in CAM5
Short-term Time Step Convergence in a Climate Model
The Changing Character of Twenty-First-Century Precipitation over the Western United States in the Variable-Resolution CESM
Vertical overlap of probability density functions of cloud and precipitation hydrometeors

Research Highlights:

A Sharper View of Wind Changes by Large Storms Highlight Presentation
A Unified Cloud Parameterization: One scheme to rule them all Highlight Presentation
Accelerating Time Integration for the Shallow Water Equations on the Sphere Using GPUs Highlight Presentation
Aerosol Specification in Single-Column Community Atmosphere Model Version 5 Highlight
Block Preconditioners for Implicit Atmospheric Climate Simulations Highlight Presentation
Evaluation of the Vertical Distribution of Aerosols in Global Transport Models Highlight Presentation
Future Loss of Arctic Sea-Ice Cover Could Drive a Substantial Decrease in California’s Rainfall Highlight Presentation
Improving Representation of Convective Transport for Scale-Aware Parameterization, Part II: Analysis of Cloud-Resolving Model Simulations Highlight Presentation
Large Regional Shortwave Forcing by Anthropogenic Methane Informed by Jovian Observations Highlight Presentation
Measuring the Impact of Mesoscale Eddies in the Ocean’s Climate Highlight Presentation
On the Use of Finite Difference Matrix-vector Products in Newton-krylov Solvers for Implicit Climate Dynamics with Spectral Elements Highlight Presentation
Optimization of the Eddy-Diffusivity/Mass-Flux Shallow Cumulus and Boundary-Layer Parameterization Using Surrogate Models Highlight Presentation
Parameterizing Deep Convection using the Assumed Probability Density Function Method Highlight
Progress in Fast, Accurate Multi-scale Climate Simulations Highlight Presentation
Resolving the Unresolved: Improving a Statistical Representation of Vertical Structure of Subgrid Clouds Highlight Presentation
Sea Salt and Dust Emissions in the Community Atmosphere Model Highlight Presentation
Simulating Convective Properties using Physical Spectral-bin and Parameterized Bulk Microphysical Models Highlight Presentation
The Changing Character of Twenty-First-Century Precipitation over the Western United States in the Variable-Resolution CESM Highlight Presentation
Tracking Down Time Missteps Highlight Presentation