Convection‐Permitting Simulations With the E3SM Global Atmosphere Model
Peter Caldwell, Christopher R. Terai, Benjamin Hillman, Noel D. Keen, Peter Bogenschutz, Weiren Lin, Hassan Beydoun, Mark A. Taylor, Luca Bertagna, Andrew Bradley, Thomas C Clevenger, Aaron S. Donahue, Christopher Eldred, James Foucar, Jean‐Christophe Golaz, Oksana Guba, Robert Jacob, Jeffrey Johnson, Jayesh Krishna, Weiran Liu, Kyle G. Pressel, Andrew G. Salinger, Balwinder Singh, Andrew Steyer, Paul Ullrich, Dui Wu, Xingqiu Yuan, Jacob Shpund, Hsi‐Yen Ma, Charles S. Zender
Abstract
Abstract This paper describes the first implementation of the Δ x = 3.25 km version of the Energy Exascale Earth System Model (E3SM) global atmosphere model and its behavior in a 40‐day prescribed‐sea‐surface‐temperature simulation (January 20 through February 28, 2020). This simulation was performed as part of the DYnamics of the Atmospheric general circulation Modeled On Non‐hydrostatic Domains (DYAMOND) Phase 2 model intercomparison. Effective resolution is found to be the horizontal dynamics grid resolution despite using a coarser grid for physical parameterizations. Despite this new model being in an immature and untuned state, moving to 3.25 km grid spacing solves several long‐standing problems with the E3SM model. In particular, Amazon precipitation is much more realistic, the frequency of light and heavy precipitation is improved, agreement between the simulated and observed diurnal cycle of tropical precipitation is excellent, and the vertical structure of tropical convection and coastal stratocumulus look good. In addition, the new model is able to capture the frequency and structure of important weather events (e.g., tropical cyclones, extratropical cyclones including atmospheric rivers, and cold air outbreaks). Interestingly, this model does not get rid of the erroneous southern branch of the intertropical convergence zone nor the tendency for strongest convection to occur over the Maritime Continent rather than the West Pacific, both of which are classic climate model biases. Several other problems with the simulation are identified, underscoring the fact that this model is a work in progress.