2018
DOI: 10.1029/2018ms001350
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Understanding Cloud and Convective Characteristics in Version 1 of the E3SM Atmosphere Model

Abstract: This study provides comprehensive insight into the notable differences in clouds and precipitation simulated by the Energy Exascale Earth System Model Atmosphere Model version 0 and version 1 (EAMv1). Several sensitivity experiments are conducted to isolate the impact of changes in model physics, resolution, and parameter choices on these differences. The overall improvement in EAMv1 clouds and precipitation is primarily attributed to the introduction of a simplified third-order turbulence parameterization Clo… Show more

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Cited by 132 publications
(247 citation statements)
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References 51 publications
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“…The comparison suggests that the different ∆R is primarily driven by differences in the CTRL warm cloud radiative forcing R , although there are different sensitivities between N c , N d , or R . The lowered base R of warm clouds in EAMv1 likely comes from changes in model vertical resolution, cloud treatments, and/or model calibration against satellite‐based observations for all clouds (Rasch et al, ; Xie et al, ). The increased ∆R in EAMv1, compared to CAM5.3, is primarily due to stronger sensitivity to N d .…”
Section: Resultsmentioning
confidence: 99%
“…The comparison suggests that the different ∆R is primarily driven by differences in the CTRL warm cloud radiative forcing R , although there are different sensitivities between N c , N d , or R . The lowered base R of warm clouds in EAMv1 likely comes from changes in model vertical resolution, cloud treatments, and/or model calibration against satellite‐based observations for all clouds (Rasch et al, ; Xie et al, ). The increased ∆R in EAMv1, compared to CAM5.3, is primarily due to stronger sensitivity to N d .…”
Section: Resultsmentioning
confidence: 99%
“…Remaining biases in these high‐latitude cloud systems are still associated with treatments of heterogeneous ice nucleation and the WBF process discussed by Tan et al () and Zhang et al (). CAM5 tropical CRE biases appear centered on regions of deep convection, while EAM low‐latitude biases are located primarily in regions of trade cumuli and summertime stratocumulus (Xie et al, ). Experimental versions of EAM now exist with substantial improvements for these features in EAM.…”
Section: Model Evaluationmentioning
confidence: 99%
“…The CAM lineage used 18 layers in CCM2 (Hack et al, ), 27 in CAM3 (Collins et al, ), 30 in CAM4 (Neale et al, ) and CAM5 and CAM6 has added two extra model layers at the tropopause, but the surface layer has remained constant at approximately 100 m over all these generations. Recent changes in the model physics described below (with an extensive discussion of consequences in Xie et al, ) have reduced the model sensitivity to vertical resolution, although there is still some dependence. EAMv1 uses a traditional hybridized sigma pressure vertical coordinate.…”
Section: Introductionmentioning
confidence: 99%
“…The aerosol processes are treated with the four‐mode version of the Modal Aerosol Module (Liu et al, ). More details of the model physics can be found in Xie et al () and Rasch et al (). EAMv1 uses the Spectral Element dynamical core (Dennis et al, ; Taylor & Fournier, ) and has two sets of standard globally uniform horizontal‐resolution configuration: 1° (ne30) and 0.25° (ne120).…”
Section: Model Simulations and Reanalysis Datamentioning
confidence: 99%
“…Department of Energy Community Atmosphere Model version 5.3 (Neale et al, ), Energy Exascale Earth System Model Atmosphere Model version 1 (EAMv1) has implemented a number of new features in the physical parameterizations and supports two different standard horizontal resolutions: 1° (ne30) and 0.25° (ne120; Xie et al, ; Golaz et al, ; Rasch et al, ). While most physical parameterization settings are identical, a few cloud‐related parameters need to be retuned to optimize the simulation of global climatology for different resolutions because of the poor scale awareness of EAMv1 physics (Xie et al, ). The summertime precipitation over the Central United States, however, was not among the top metrics for model tuning during the EAMv1 development and has not been closely studied.…”
Section: Introductionmentioning
confidence: 99%