Improving precipitation simulations in CIESM through a new entrainment rate parameterization
Year: 2025
Type: article
Abstract: Entrainment rate parameterization is important for convection schemes but uncertain in climate models. A new deep convective entrainment rate ( λ ) parameterization (HL parameterization) is developed from aircraft observations and implemented into the convection scheme (Song and Zhang, 2018, https://doi.org/10.1002/2017MS001191 ) in the Community Integrated Earth System Model version 1.1.0, replacing the previously used parameterization (Gregory parameterization). Compared with the Gregory parameterization, the HL parameterization simulates overall larger λ values and improves convective and large-scale precipitation simulations in the 30°S-30°N region, agreeing better with observations. The mechanism is that the HL parameterization suppresses deep convective cloud development macrophysically and microphysically compared with the Gregory parameterization. Indirectly, compared with the Gregory parameterization, the HL parameterization increases large-scale precipitation and reduces shallow convective precipitation, lowering total precipitation closer to observations. The HL parameterization enhances the model’s ability to simulate precipitation, providing a valuable reference for improving the deep convection scheme in climate models.
Institutions: China Meteorological Administration, Nanjing University of Information Science and Technology, Scripps Institution of Oceanography, Nanyang Technological University, National Institute of Education, Chinese Academy of Sciences, Aerospace Information Research Institute, State Key Laboratory of Remote Sensing Science, Jiangsu Provincial Meteorological Bureau, Institute of Tropical and Marine Meteorology, China Meteorological Administration
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $3,590
OpenAlex ID: W4417261338