2021
DOI: 10.1029/2021ms002628
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Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM

Abstract: Mesoscale convective systems (MCSs) are the largest form of deep convective storms, which are widely distributed around the globe (e.g.,

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Cited by 13 publications
(17 citation statements)
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References 81 publications
(127 reference statements)
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“…In particular, Morrison and Milbrandt (2015) have developed the P3 scheme that Dietlicher et al (2018) have implemented into the ECHAM-HAM model. The P3 scheme has been evaluated as both producing results closer to observations and being more physical in the sense of closer to first principles (based on the absence of the artificial separation of snow categories) (Dietlicher et al, 2018;Wang et al, 2021). Hence Igel et al (2022) call for such a single category in the liquid phase as well.…”
Section: Meltingmentioning
confidence: 99%
See 1 more Smart Citation
“…In particular, Morrison and Milbrandt (2015) have developed the P3 scheme that Dietlicher et al (2018) have implemented into the ECHAM-HAM model. The P3 scheme has been evaluated as both producing results closer to observations and being more physical in the sense of closer to first principles (based on the absence of the artificial separation of snow categories) (Dietlicher et al, 2018;Wang et al, 2021). Hence Igel et al (2022) call for such a single category in the liquid phase as well.…”
Section: Meltingmentioning
confidence: 99%
“…(2018) have implemented into the ECHAM‐HAM model. The P3 scheme has been evaluated as both producing results closer to observations and being more physical in the sense of closer to first principles (based on the absence of the artificial separation of snow categories) (Dietlicher et al., 2018; Wang et al., 2021). Hence Igel et al.…”
Section: Introductionmentioning
confidence: 99%
“…The Predicted Particle Properties (P3) scheme was introduced as a property‐based BMS in MM15. P3 has been used for several research studies by various groups (e.g., Dietlicher et al., 2018; Johnson et al., 2019; C19; Jouan et al., 2020; M21; Paukert et al., 2019; Wang et al., 2021). P3 is also used operationally in the Environment and Climate Change Canada's high‐resolution (2.5‐ km horizontal grid spacing) NWP system (HRDPS; Milbrandt et al., 2016, 2018) and is available in the public release of WRF.…”
Section: Introductionmentioning
confidence: 99%
“…BMSs parameterize cloud and precipitation processes in models. Over the past decades, BMSs have advanced considerably (e.g., Morrison et al., 2020) including those used in large scale NWP and climate models (e.g., Guo et al., 2021; Jouan et al., 2020; Pi & Chen, 2021; Wang et al., 2021). Bulk schemes are becoming more detailed in terms of the microphysical processes that are parameterized.…”
Section: Introductionmentioning
confidence: 99%
“…More importantly, the correct representation of microphysics processes is essential in numerical models because cloud‐related latent heat drives the atmospheric circulation (Wang et al., 2021). Continuous efforts have been made to examine the sensitivity of the simulated meteorological phenomena at widely varying scales—such as squall lines (Huang et al., 2020; Xue et al., 2017), tropical cyclones (Wang, 2009; Zhao et al., 2020) and extreme rainfall events—to different microphysics schemes.…”
Section: Introductionmentioning
confidence: 99%