Preliminary Evaluation of a Revised Zhang-McFarlane Convection Scheme Using the NCAR CCM3 GCM

Guang J. Zhang; Guo Mingming

Impact Factor: 5.8

Volume 18 Issue 5

Sep. 2001

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 2001 > 18(5): 710-717

Preliminary Evaluation of a Revised Zhang-McFarlane Convection Scheme Using the NCAR CCM3 GCM

1.
Center for Atmospheric Sciences, Scripps Institution of Oceanography, La Jolla, California 92093-0221, U S A,University of Science and Technology of China, Hefei 230026

Abstract
References
Related papers
PDF

Abstract:
This study investigates the interaction between convection, clouds, and the large-scale circulation. By examining the sensitivity of the large-scale fields to a modification of the convective parameterization scheme in the NCAR CCM3, we show that the convective parameterization has a strong impact on the tem poral characteristics of the large-scale circulation and clouds. When Convective Available Potential Energy (CAPE) in the atmosphere is used to close the convective parameterization, the simulated convection is con tinuous, and lacks the observed intermittence. When the CAPE change due to the large-scale forcing in the free troposphere is used, the simulated temporal behavior of convection is in much better agreement with the observations. We attribute this improvement to the enhanced coupling between convection and the large-scale forcing in the convective parameterization.
- Convective parameterization,
- CCM3 GCM
References

[1]	Xiaohan LI, Yi ZHANG, Yanluan LIN, Xindong PENG, Baiquan ZHOU, Panmao ZHAI, Jian LI, 2023: Impact of Revised Trigger and Closure of the Double-Plume Convective Parameterization on Precipitation Simulations over East Asia, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1225-1243. doi: 10.1007/s00376-022-2225-9
[2]	Jeong-Gyun PARK, Dong-Kyou LEE, 2011: Evaluation of Heavy Rainfall Model Forecasts over the Korean Peninsula Using Different Physical Parameterization Schemes and Horizontal Resolution, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1233-1245. doi: 10.1007/s00376-011-0058-z
[3]	Changhai LIU, Mitchell W. MONCRIEFF, John D. TUTTLE, Richard E. CARBONE, 2006: Explicit and Parameterized Episodes of Warm-Season Precipitation over the Continental United States, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 91-105. doi: 10.1007/s00376-006-0010-9
[4]	Yu Rucong, Li Wei, Zhang Xuehong, LiuYimin, Yu Yongqiang, Liu Hailong, Zhou Tianjun, 2000: Climatic Features Related to Eastern China Summer Rainfalls in the NCAR CCM3, ADVANCES IN ATMOSPHERIC SCIENCES, 17, 503-518. doi: 10.1007/s00376-000-0014-9
[5]	SUN Jianning, 2009: On the Parameterization of Convective Entrainment: Inherent Relationships among Entrainment Parameters in Bulk Models, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 1005-1014. doi: 10.1007/s00376-009-7222-8
[6]	WU Tongwen, WANG Zaizhi, LIU Yimin, YU Rucong, WU Guoxiong, 2004: An Evaluation of the Effects of Cloud Parameterization in the R42L9 GCM, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 153-162. doi: 10.1007/BF02915701
[7]	Shaukat ALI, DAN Li, FU Congbin, YANG Yang, 2015: Performance of Convective Parameterization Schemes in Asia Using RegCM: Simulations in Three Typical Regions for the Period 1998-2002, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 715-730. doi: 10.1007/s00376-014-4158-4
[8]	LI Lijuan, WANG Bin, Yuqing WANG, Hui WAN, 2007: Improvements in Climate Simulation with Modifications to the Tiedtke Convective Parameterization in the Grid-Point Atmospheric Model of IAP LASG (GAMIL), ADVANCES IN ATMOSPHERIC SCIENCES, 24, 323-335. doi: 10.1007/s00376-007-0323-3
[9]	AN Junling, CHENG Xinjin, QU Yu, CHEN Yong, 2007: Influence of Vertical Eddy Diffusivity Parameterization on Daily and Monthly Mean Concentrations of O3 and NOy, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 573-580. doi: 10.1007/s00376-007-0573-0
[10]	Shibo GAO, Haiqiu YU, Chuanyou REN, Limin LIU, Jinzhong MIN, 2021: Assimilation of Doppler Radar Data with an Ensemble 3DEnVar Approach to Improve Convective Forecasting, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 132-146. doi: 10.1007/s00376-020-0081-z
[11]	Wang Hongqi, Zhao Gaoxiang, 2002: Parameterization of Longwave Optical Properties for Water Clouds, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 25-34. doi: 10.1007/s00376-002-0031-y
[12]	Ye Zhuojia, Roger A. Pielke, 1995: A Parameterization of Bowen Ratio with Respect to Soil Moisture Availability, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 449-474. doi: 10.1007/BF02657005
[13]	Zhao Ming, 1987: ON THE PARAMETERIZATION OF THE VERTICAL VELOCITY AT THE TOP OF PLANETARY BOUNDARY LAYER, ADVANCES IN ATMOSPHERIC SCIENCES, 4, 233-239. doi: 10.1007/BF02677070
[14]	Fei Shiqiang, Tan Zhemin, 2001: On the Helicity Dynamics of Severe Convective Storms, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 67-86. doi: 10.1007/s00376-001-0005-5
[15]	Lin Wenshi, Fong Soikun, Wu Chisheng, Ku Chimeng, Wang Anyu, Yang Yan, 2000: A Simulating Study on Resolvable-Scale Microphysical Parameterization in a Mesoscale Model, ADVANCES IN ATMOSPHERIC SCIENCES, 17, 487-502. doi: 10.1007/s00376-000-0038-1
[16]	Sun Shufen, Li Jingyang, 2001: A Sensitivity Study on Parameterization Scheme of Snow Internal and Interfacial Processes in Snow Model, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 910-928.
[17]	Zhang Yu, Lu Shihua, 2002: Development and Validation of a Simple Frozen Soil Parameterization Scheme Used for Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 513-527. doi: 10.1007/s00376-002-0083-z
[18]	Qinghua YANG, Jiping LIU, Matti LEPPÄRANTA, Qizhen SUN, Rongbin LI, Lin ZHANG, Thomas JUNG, Ruibo LEI, Zhanhai ZHANG, Ming LI, Jiechen ZHAO, Jingjing CHENG, 2016: Albedo of Coastal Landfast Sea Ice in Prydz Bay, Antarctica: Observations and Parameterization, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 535-543. doi: 10.1007/s00376-015-5114-7
[19]	Xu Liren, Zhao Ming, 2000: The Influences of Boundary Layer Parameterization Schemes on Mesoscale Heavy Rain System, ADVANCES IN ATMOSPHERIC SCIENCES, 17, 458-472. doi: 10.1007/s00376-000-0036-3
[20]	ZENG Zhihua, Yuqing WANG, DUAN Yihong, CHEN Lianshou, GAO Zhiqiu, 2010: On Sea Surface Roughness Parameterization and Its Effect on Tropical Cyclone Structure and Intensity, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 337-355. doi: 10.1007/s00376-009-8209-1

PDF

Get Citation+

Export:

Article Metrics

Article Views: 1530 Times

PDF downloads: 1348 Times

Cited by: Times

Proportional views

Manuscript History

Manuscript received: 10 September 2001

Manuscript revised: 10 September 2001

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

Preliminary Evaluation of a Revised Zhang-McFarlane Convection Scheme Using the NCAR CCM3 GCM

1. Center for Atmospheric Sciences, Scripps Institution of Oceanography, La Jolla, California 92093-0221, U S A,University of Science and Technology of China, Hefei 230026

Manuscript received: 2001-09-10
Manuscript revised: 2001-09-10

Abstract: This study investigates the interaction between convection, clouds, and the large-scale circulation. By examining the sensitivity of the large-scale fields to a modification of the convective parameterization scheme in the NCAR CCM3, we show that the convective parameterization has a strong impact on the tem poral characteristics of the large-scale circulation and clouds. When Convective Available Potential Energy (CAPE) in the atmosphere is used to close the convective parameterization, the simulated convection is con tinuous, and lacks the observed intermittence. When the CAPE change due to the large-scale forcing in the free troposphere is used, the simulated temporal behavior of convection is in much better agreement with the observations. We attribute this improvement to the enhanced coupling between convection and the large-scale forcing in the convective parameterization.

Keywords: