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Presenter:
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Kai Zhang
Title: Impact of the Predicted Particle Properties (P3) Cloud Microphysics Parameterization on Simulations of Mesoscale Convective Systems in E3SMEffective radiative forcing of anthropogenic aerosols in E3SM v1 and v2
Abstract:
Mesoscale convective systems (MCSs) are one of the most climatically significant forms of convection because of their large role in water and energy cycles. The mesoscale features associated with MCS are difficult to represent in climate models because the relevant dynamics and physics are absent or poorly represented with coarse model resolution (~100 km). Using a regionally refined model (RRM) with 0.25° grid spacing embedded in the Energy Exascale Earth System Model (E3SM), we explore the impact of cloud microphysics parameterizations on the simulation of precipitation, particularly MCS precipitation over the contiguous United States. The Predicted Particle Properties (P3) cloud microphysics scheme has been modified and implemented into E3SM to overcome the limitations of the default Morrison and Gettelman (MG2) scheme in which rimed precipitating ice particles (graupel/hail) are absent and frozen particles are artificially partitioned into cloud ice and snow. We show that P3 improves the simulation of precipitation statistics including frequency distribution compared with MG2 with a limited effect on the diurnal cycle. P3 predicts higher hourly rain rates, resulting in 20% more MCSs and a higher total MCS precipitation (4.4%) compared to MG2, agreeing better with observations. The improvements with P3 mainly result from improved representations of ice microphysics, which not only produces higher rain rates through melting but also leads to a stronger large-scale ascending motion by releasing more latent heating. This study suggests that improving microphysics parameterization is important for simulating MCS precipitation as future climate model resolutions continue to increase.
Date
17 Previous studies suggest that the effective radiative forcing of anthropogenic aerosols has an important impact on the simulated global mean surface temperature changes in the coupled model simulations. In this webinar, I will present a comparison of the effective aerosol forcings simulated in the E3SM v1 and v2 atmosphere models, using century-long free-running simulations and short nudged simulations to investigate the historical changes, decomposition (direct, indirect, and residual forcing), and parameterization sensitivities. I will also briefly discuss the current issues related to aerosol/cloud simulations in E3SM v2 and introduce the ongoing work on further constraining the effective aerosol forcing in the model.
Date
Time
- PT: 8:30 am
- ET: 11:30 am
Call Info
- web session: https://global.gotomeeting.com/join/570361173
- call number: (571) 317-3122 Access Code: 570-361-173, If busy, use alternate number: (773) 945-1029
Joining from a video-conferencing room or system? Dial: 67.217.95.2##570361173 , Cisco devices: 570361173@67.217.95.2
Attendees:
- Jiwen Fan (Unlicensed)
- Jill Chengzhu Kai Zhang
- Wuyin Lin
- Jim Benedict
- Bryce Harrop
- Jon Wolfe
- Chris Golaz
- Jayesh Krishna
- Shaocheng Xie
- Guang Zhang
- Sha Feng
- Darin Comeau
- Michael Brunke
- Qi Tang (late)
- Ryan Forsyth
- Hsiang-He Lee
- Ruby Leung
- LeAnn Conlon
- Shaocheng Xie
- Khachik Sargsyan
- Nicole Jeffery
- Carolyn Begeman
- Hailong Wang
- Xylar Asay-Davis
- Katherine Smith
- Sha Feng
- Stephen Price
- Darin Comeau
- fnu Quazi Ziaur Rasool (Unlicensed)
- Jayesh Krishna
- Bryce Harrop
- Xue Zheng
- Xiaohong Liu (Unlicensed)
- Jill Chengzhu Zhang
- Mingxuan Wu
- Michael Brunke
- Ryan Forsyth
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