2023
DOI: 10.5194/gmd-16-3953-2023
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The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results

Abstract: Abstract. This paper provides an overview of the United States (US) Department of Energy's (DOE's) Energy Exascale Earth System Model version 2 (E3SMv2) fully coupled regionally refined model (RRM) and documents the overall atmosphere, land, and river results from the Coupled Model Intercomparison Project 6 (CMIP6) DECK (Diagnosis, Evaluation, and Characterization of Klima) and historical simulations – a first-of-its-kind set of climate production simulations using RRM. The North American (NA) RRM (NARRM) is d… Show more

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Cited by 17 publications
(20 citation statements)
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References 130 publications
(140 reference statements)
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“…However, a general high bias in reservoir inflows was found across RRM‐E3SM simulations and agrees with the general high bias in California DJF mean streamflow identified in Tang et al. (2022).…”
Section: Discussionsupporting
confidence: 89%
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“…However, a general high bias in reservoir inflows was found across RRM‐E3SM simulations and agrees with the general high bias in California DJF mean streamflow identified in Tang et al. (2022).…”
Section: Discussionsupporting
confidence: 89%
“…The Energy Exascale Earth System Model version 2 (E3SMv2; Golaz et al., 2022) used for this analysis allows for regionally refined mesh (RRM‐E3SM) simulations over a targeted region of interest. Recent studies find that RRM‐E3SM performs comparably to uniform 0.25° (∼25 km) horizontal resolution simulations for water cycle‐related processes and provides several improvements to uniform 1.00° (∼111 km) horizontal resolution simulations (Tang et al., 2019, 2022). These improvements include a better representation of winter‐time precipitation rates and cloud properties over the contiguous United States, higher extratropical cyclone activity in the north Pacific, and snowpack accumulation rates and peak timing and volumes in the California Sierra Nevada compared with ∼111 km simulations.…”
Section: Methodsmentioning
confidence: 99%
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“…The resolution of the ocean and sea ice models on the other hand varies between 14 and 60 km with 60 vertical layers in the ocean model. For further details regarding the model physics and parameterizations employed, see Tang et al (2022). Three ensemble members of historical E3SM simulations, using the NARRM configuration are used in this study.…”
Section: Modelmentioning
confidence: 99%
“…We evaluate 100‐year 1950‐control simulations with fully coupled HR (25–50 km atmosphere model nominal resolutions) version of E3SM1 and five models (CNRM‐CM6‐1, EC‐Earth‐3P, ECMWF‐IFS, HadGEM3‐GC31, and MPI‐ESM1‐2) participating in the HighResMIP activity (Haarsma et al., 2016) with daily precipitation data available in the CMIP6 archive (Eyring et al., 2016). We also evaluate a segment (1950–2014) of a historical simulation conducted with the North American Regionally Refined Model version of E3SM2, where the atmosphere model nominal resolution over North America and the surrounding oceans is 25 km, and decreases to 100 km elsewhere (Tang et al., 2022). We also compare these HR simulations against their counterpart low resolution (50–250 km atmosphere model nominal resolution) production model simulations.…”
Section: Simulations and Observational Datamentioning
confidence: 99%