Enabling Aerosol-cloud interactions at GLobal convection-permitting scalES (EAGLES)

This project seeks to increase confidence in—and understanding of—the role of aerosols and aerosol-cloud interactions in the evolution of the earth system using new modeling techniques that are scientifically robust and computationally efficient for global convection-permitting simulations envisioned for Energy Exascale Earth System Model version 4 (E3SMv4).

The major challenge is the tension between the representation of complex processes that occur at convection-permitting scales and the associated computational cost. To address this challenge, we combine expertise in atmospheric and computational sciences to address three model development themes and a cross-cutting activity that provides an integrated framework to allow parameterization development, evaluation, and assessment:

  • The “Aerosols” theme focuses on improving aerosol process treatments that influence the size distribution and composition of natural and anthropogenic aerosols, which in turn, are necessary for achieving reasonable estimates of aerosol radiative effects and aerosol-mediated cloud radiative effects.
  • The “Clouds” theme focuses on improving cloud processes that are critical for aerosol-cloud interactions as well as cloud properties, radiative effects, and precipitation.
  • The “Computation” theme focuses on advanced computational science techniques needed to improve numerical accuracy and computational efficiency of aerosol and aerosol-cloud interaction parameterizations to achieve accurate and affordable global convection-permitting simulations on U.S. Department of Energy high-performance computing systems.
  • The “Testbeds” cross-cutting activity establishes four liquid cloud testbeds (Eastern North Atlantic, Northeast Pacific, Central United States, and the Southern Ocean) that include a wide range of cloud and aerosol regimes. Observations from the Atmospheric Radiation Measurement (ARM) user facility, satellites, and other sources, and benchmark large-eddy simulations will be compiled for these four testbeds to facilitate routine comparisons with the newly improved model simulations. The scientific evaluation and computational performance profiling will identify hotspots for reducing biases in aerosols and aerosol-cloud interactions and for reducing the computation cost.

Our integrated approach brings together a team with expertise in each of the themes and the cross-cutting activity. This enables critical aerosol and aerosol-cloud interaction processes evaluated against real-world observations. Therefore, we will have greater confidence in predictions of aerosols and aerosol-cloud interactions.

Project Term: 
2019 to 2022
Project Type: 
Science Focus Area (SFA)