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The Summertime Precipitation Bias in E3SM Atmosphere Model Version 1 over the Central United States

  • X. Zheng
  • , J. C. Golaz
  • , S. Xie
  • , Q. Tang
  • , W. Lin
  • , M. Zhang
  • , H. Y. Ma
  • , E. L. Roesler
  • Lawrence Livermore National Laboratory
  • Brookhaven National Laboratory
  • Sandia National Laboratories, New Mexico

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

This study analyzes the summertime precipitation bias over the Central United States and its relationship to the simulated large-scale environment and the convection scheme in the Energy Exascale Earth System Model Atmosphere Model version 1. This relationship is mainly examined in a set of short-term hindcasts initialized with realistic large-scale conditions for the summer of 2011. Besides the uniform 1° model resolution, we adopt Regionally Refined Meshes to increase the model resolution to 0.25° over the contiguous United States. Additional five-year Atmospheric Model Intercomparison Project simulations are conducted to confirm that the results from the hindcasts are consistent with the climate runs. We find that the summertime dry precipitation bias over the Great Plains and the wet bias over the Rockies cannot be reduced simultaneously by changing resolution or tuning parameters. As for the diurnal cycle, Energy Exascale Earth System Model Atmosphere Model version 1 captures the general diurnal variation of the large-scale moisture transport and the large-scale upward motion over the Central United States. However, the diurnal cycle of precipitation over the Great Plains is out of phase with the diurnal variation of the large-scale environment because the convective precipitation dominates the total precipitation and its diurnal cycle, and it does not directly respond to the local moisture convergence and the large-scale upward motion. These results reemphasize the importance of improving the coupling of the convection to the large-scale environment in reducing the summer precipitation bias over the Central United States in climate models with the resolution of ~0.25°.

Original languageEnglish
Pages (from-to)8935-8952
Number of pages18
JournalJournal of Geophysical Research: Atmospheres
Volume124
Issue number16
DOIs
StatePublished - Aug 27 2019

Keywords

  • convection parameterization
  • E3SM
  • GCM
  • precipitation

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