Evaluating the Simulation of CONUS Precipitation by Storm Type in E3SM
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- School of Marine and Atmospheric Sciences Stony Brook University Stony Brook NY USA
- School of Marine and Atmospheric Sciences Stony Brook University Stony Brook NY USA, Department of Atmospheric Science Colorado State University Fort Collins CO USA
- Department of Geography University of Georgia Athens GA USA
- Department of Earth and Environmental Sciences University of Illinois Chicago Chicago IL USA, Environmental Science Division Argonne National Laboratory Lemont IL USA
- Atmospheric, Earth and Energy Division Lawrence Livermore National Laboratory Livermore CA USA
- Climate and Global Dynamics Laboratory National Center for Atmospheric Research Boulder CO USA, Department of Earth and Atmospheric Sciences Cornell University Ithaca NY USA
- Climate and Global Dynamics Laboratory National Center for Atmospheric Research Boulder CO USA
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.
- Research Organization:
- Argonne National Laboratory (ANL), Argonne, IL (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- National Aeronautics and Space Administration (NASA); National Science Foundation (NSF); USDOE; USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC02-06CH11357; AC52-07NA27344; SC0016605; SC0019459; SC0021209; SC0022070
- OSTI ID:
- 1985181
- Report Number(s):
- LLNL--JRNL-856490; e2022GL102409
- Journal Information:
- Geophysical Research Letters, Journal Name: Geophysical Research Letters Journal Issue: 12 Vol. 50; ISSN 0094-8276
- Publisher:
- American Geophysical Union (AGU)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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