Geophysical Research Letters (Jun 2023)

Evaluating the Simulation of CONUS Precipitation by Storm Type in E3SM

  • K. A. Reed,
  • A. M. Stansfield,
  • W.‐C. Hsu,
  • G. J. Kooperman,
  • A. A. Akinsanola,
  • W. M. Hannah,
  • A. G. Pendergrass,
  • B. Medeiros

DOI
https://doi.org/10.1029/2022GL102409
Journal volume & issue
Vol. 50, no. 12
pp. n/a – n/a

Abstract

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Abstract Conventional low‐resolution (LR) climate models, including the Energy Exascale Earth System Model (E3SMv1), have well‐known biases in simulating the frequency, intensity, and timing of precipitation. Approaches to next‐generation E3SM, whether the high‐resolution (HR) or multiscale modeling framework (MMF) configuration, improve the simulation of the intensity and frequency of precipitation, but regional and seasonal deficiencies still exist. Here we apply a methodology to assess the contribution of tropical cyclones (TCs), extratropical cyclones (ETCs), and mesoscale convective systems (MCSs) to simulated precipitation in E3SMv1‐HR and E3SMv1‐MMF relative to E3SMv1‐LR. Across the United States, E3SMv1‐MMF provides the best simulation in terms of precipitation accumulation, frequency and intensity from MCSs and TCs compared to E3SMv1‐LR and E3SMv1‐HR. All E3SMv1 configurations overestimate precipitation amounts from and the frequency of ETCs over CONUS, with conventional E3SMv1‐LR providing the best simulation compared to observations despite limitations in precipitation intensity within these events.

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