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Volume 25 Issue 2

Mar.  2008

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2008 >  25(2): 202-212

A Review of Cloud-Resolving Model Studies of Convective Processes

  • 1.

    Department of Geological and Atmospheric Sciences, Iowa State University, Ames, Iowa, USA;Joint Center for Satellite Data Assimilation and NOAA/NESDIS/Center for Satellite Applications and Research, Camp Springs, Maryland, USA


doi: 10.1007/s00376-008-0202-6

  • Convective processes affect large-scale environments through cloud-radiation interaction, cloud microphysical processes, and surface rainfall processes. Over the last three decades, cloud-resolving models (CRMs) have demonstrated to be capable of simulating convective-radiative responses to an imposed large-scale forcing. The CRM-produced cloud and radiative properties have been utilized to study the convective-related processes and their ensemble effects on large-scale circulations. This review summarizes the recent progress on the understanding of convective processes with the use of CRM simulations, including precipitation processes; cloud microphysical and radiative processes; dynamical processes; precipitation efficiency; diurnal variations of tropical oceanic convection; local-scale atmosphere-ocean coupling processes; and tropical convective-radiative equilibrium states. Two different ongoing applications of CRMs to general circulation models (GCMs) are discussed: replacing convection and cloud schemes for studying the interaction between cloud systems and large-scale circulation, and improving the schemes for climate simulations.
  • [1] WANG Zaizhi, MAO Jiangyu, WU Guoxiong, 2008: The Wavenumber-Frequency Characteristics of the Tropical Waves in an Aqua-Planet GCM, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 541-554.  doi: 10.1007/s00376-008-0541-3
    [2] GAO Shouting, Xiaofan LI, 2008: Impacts of Initial Conditions on Cloud-Resolving Model Simulations, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 737-747.  doi: 10.1007/s00376-008-0737-6
    [3] Xinyong SHEN, Wenyan HUANG, Chunyan GUO, Xiaocen JIANG, 2016: Precipitation Responses to Radiative Effects of Ice Clouds: A Cloud-Resolving Modeling Study of a Pre-Summer Torrential Precipitation Event, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 1137-1142.  doi: 10.1007/s00376-016-5218-8
    [4] FU Danhong, GUO Xueliang, 2006: A Cloud-resolving Study on the Role of Cumulus Merger in MCS with Heavy Precipitation, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 857-868.  doi: 10.1007/s00376-006-0857-9
    [5] Tuanjie HOU, Baojun CHEN, Hengchi LEI, Lei WEI, Youjiang HE, Qiujuan FENG, 2023: Evaluation of the Predicted Particle Properties (P3) Microphysics Scheme in Simulations of Stratiform Clouds with Embedded Convection, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1859-1876.  doi: 10.1007/s00376-023-2178-7
    [6] Kong Fanyou, Qin Yu, 1993: The Vertical Transport of Air Pollutants by Convective Clouds. Part I: A Non-Reactive Cloud Transport Model, ADVANCES IN ATMOSPHERIC SCIENCES, 10, 415-427.  doi: 10.1007/BF02656966
    [7] Jinghua CHEN, Xiaoqing WU, Chunsong LU, Yan YIN, 2022: Seasonal and Diurnal Variations of Cloud Systems over the Eastern Tibetan Plateau and East China: A Cloud-resolving Model Study, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 1034-1049.  doi: 10.1007/s00376-021-0391-9
    [8] QIU Yujun, Thomas CHOULARTON, Jonathan CROSIER, Zixia LIU, 2015: Comparison of Cloud Properties between CloudSat Retrievals and Airplane Measurements in Mixed-Phase Cloud Layers of Weak Convective and Stratus Clouds, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 1628-1638.  doi: 10.1007/s00376-015-4287-4
    [9] GAO Wenhua, SUI Chung-Hsiung, 2013: A Modeling Analysis of Rainfall and Water Cycle by the Cloud-resolving WRF Model over the Western North Pacific, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1695-1711.  doi: 10.1007/s00376-013-2288-8
    [10] LIPING LUO, Ming Xue, Xin Xu, Lijuan Li, Qiang Zhang, Ziqi Fan, 2024: Understanding Simulated Causes of Damaging Surface Winds in a Derecho-Producing Mesoscale Convective System near the East China Coast based on Convection-Permitting Simulations, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-024-3314-8
    [11] YUE Caijun, SHOU Shaowen, Xiaofan LI, 2009: Water Vapor, Cloud, and Surface Rainfall Budgets Associated with the Landfall of Typhoon Krosa (2007): A Two-Dimensional Cloud-Resolving Modeling Study, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 1198-1208.  doi: 10.1007/s00376-009-8135-2
    [12] LI Yaodong, GAO Shouting, LIU Jianwen, 2004: Assessment of Several Moist Adiabatic Processes Associated with Convective Energy Calculation, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 941-950.  doi: 10.1007/BF02915596
    [13] LI Xiaofan, SHEN Xinyong, LIU Jia, 2014: Effects of Doubled Carbon Dioxide on Rainfall Responses to Large-Scale Forcing: A Two-Dimensional Cloud-Resolving Modeling Study, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 525-531.  doi: 10.1007/s00376-013-3030-2
    [14] YI Mingjian, FU Yunfei, LIU Peng, ZHENG Zhixia, 2015: Deep Convective Clouds over the Northern Pacific and Their Relationship with Oceanic Cyclones, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 821-830.  doi: 10.1007/s00376-014-4056-9
    [15] Yuanyuan ZUO, Zhiqun HU, Shujie YUAN, Jiafeng ZHENG, Xiaoyan YIN, Boyong LI, 2022: Identification of Convective and Stratiform Clouds Based on the Improved DBSCAN Clustering Algorithm, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 2203-2212.  doi: 10.1007/s00376-021-1223-7
    [16] Haibo WANG, Hua ZHANG, Bing XIE, Xianwen JING, Jingyi HE, Yi LIU, 2022: Evaluating the Impacts of Cloud Microphysical and Overlap Parameters on Simulated Clouds in Global Climate Models, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 2172-2187.  doi: 10.1007/s00376-021-0369-7
    [17] Tuanjie HOU, Hengchi LEI, Youjiang HE, Jiefan YANG, Zhen ZHAO, Zhaoxia HU, 2021: Aircraft Measurements of the Microphysical Properties of Stratiform Clouds with Embedded Convection, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 966-982.  doi: 10.1007/s00376-021-0287-8
    [18] WANG Xiaokang, NI Yunqi, XU Wenhui, GU Chunli, QIU Xuexing, 2011: Water Cycle and Microphysical Processes Associated with a Mesoscale Convective Vortex System in the Dabie Mountain Area, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1405-1422.  doi: 10.1007/s00376-011-0089-5
    [19] ZHANG Yi, and LI Jian, 2013: Shortwave Cloud Radiative Forcing on Major Stratus Cloud Regions in AMIP-type Simulations of CMIP3 and CMIP5 Models, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 884-907.  doi: 10.1007/s00376-013-2153-9
    [20] HUANG Wei, LIANG Xudong, 2010: Convective Asymmetries Associated with Tropical Cyclone Landfall: beta-Plane Simulations, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 795-806.  doi: 10.1007/s00376-009-9086-3
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    • Manuscript History

    Manuscript received: 10 March 2008
    Manuscript revised: 10 March 2008
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

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    A Review of Cloud-Resolving Model Studies of Convective Processes

    • 1. Department of Geological and Atmospheric Sciences, Iowa State University, Ames, Iowa, USA;Joint Center for Satellite Data Assimilation and NOAA/NESDIS/Center for Satellite Applications and Research, Camp Springs, Maryland, USA
    • Manuscript received: 2008-03-10
    • Manuscript revised: 2008-03-10

    Abstract: Convective processes affect large-scale environments through cloud-radiation interaction, cloud microphysical processes, and surface rainfall processes. Over the last three decades, cloud-resolving models (CRMs) have demonstrated to be capable of simulating convective-radiative responses to an imposed large-scale forcing. The CRM-produced cloud and radiative properties have been utilized to study the convective-related processes and their ensemble effects on large-scale circulations. This review summarizes the recent progress on the understanding of convective processes with the use of CRM simulations, including precipitation processes; cloud microphysical and radiative processes; dynamical processes; precipitation efficiency; diurnal variations of tropical oceanic convection; local-scale atmosphere-ocean coupling processes; and tropical convective-radiative equilibrium states. Two different ongoing applications of CRMs to general circulation models (GCMs) are discussed: replacing convection and cloud schemes for studying the interaction between cloud systems and large-scale circulation, and improving the schemes for climate simulations.

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