Correlations of the Evolution of a CCOPE Squall Line with Surface Thermodynamics and Kinematic Fields

Xu Yumao; J.C. Fankhauser

doi:10.1007/BF02656921

Impact Factor: 5.8

Volume 6 Issue 1

Jan. 1989

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 1989 > 6(1): 99-112

Correlations of the Evolution of a CCOPE Squall Line with Surface Thermodynamics and Kinematic Fields

1.
Department of Atmospheric Sciences, Nanjing University, Nanjing,National Center for Atmospheric Research P.O. Box 3000, Boulder, Colorado 80307 U.S.A.

doi: 10.1007/BF02656921

Abstract
References
Related papers
PDF

Abstract:
A midlatitude squall line passed over the array of the Cooperative Convective Precipitation Experiment (CCOPE) on 1 August 1981. The structure and evolution of the squall line, and the correlations of the storm with sur-face thermodynamics and kinematic fields are investigated, mainly by using radar and surface mesonet data in CCOPE. The storm-wide precipitation efficiency is also estimated.The squall line was of an obvious process of metabolism. Thirty-four cells formed successively in front of the primary storm und eventually merged into it during the period 1700-2010 MDT. The newest cells formed near sur-face equivalent potential temperature maxima, and near surface moisture flux convergence zones or / and the “tem-perature break lines”. The thunderstorm rainfall, with the precipitation efficiency of 54%, lags 25-30 min behind the moisture flux convergence on the average.
References

[1]	Sun Tingkai, Tan Zhemin, 2001: Numerical Simulation Study for the Structure and Evolution of Tropical Squall Line, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 117-138. doi: 10.1007/s00376-001-0008-2
[2]	LIU Liping, ZHUANG Wei, ZHANG Pengfei, MU Rong, 2010: Convective Scale Structure and Evolution of a Squall Line Observed by C-Band Dual Doppler Radar in an Arid Region of Northwestern China, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 1099-1109. doi: 10.1007/s00376-009-8217-1
[3]	Xingchao CHEN, Kun ZHAO, Juanzhen SUN, Bowen ZHOU, Wen-Chau LEE, 2016: Assimilating Surface Observations in a Four-Dimensional Variational Doppler Radar Data Assimilation System to Improve the Analysis and Forecast of a Squall Line Case, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 1106-1119. doi: 10.1007/s00376-016-5290-0
[4]	LIU Lu, RAN Lingkun, SUN Xiaogong, 2015: Analysis of the Structure and Propagation of a Simulated Squall Line on 14 June 2009, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 1049-1062. doi: 10.1007/s00376-014-4100-9
[5]	WU Duochang, MENG Zhiyong, YAN Dachun, 2013: The Predictability of a Squall Line in South China on 23 April 2007, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 485-502. doi: 10.1007/s00376-012-2076-x
[6]	Wei Tongjian, Robert A. Houze, Jr., 1987: THE GATE SQUALL LINE OF 9－10 AUGUST 1974, ADVANCES IN ATMOSPHERIC SCIENCES, 4, 85-92. doi: 10.1007/BF02656664
[7]	Man-Yau CHAN, Xingchao CHEN, 2022: Improving the Analyses and Forecasts of a Tropical Squall Line Using Upper Tropospheric Infrared Satellite Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 733-746. doi: 10.1007/s00376-021-0449-8
[8]	Xin LI, Mingjian ZENG, Yuan WANG, Wenlan WANG, Haiying WU, Haixia MEI, 2016: Evaluation of Two Momentum Control Variable Schemes and Their Impact on the Variational Assimilation of Radar Wind Data: Case Study of a Squall Line, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 1143-1157. doi: 10.1007/s00376-016-5255-3
[9]	Chong WU, Liping LIU, Ming WEI, Baozhu XI, Minghui YU, 2018: Statistics-based Optimization of the Polarimetric Radar Hydrometeor Classification Algorithm and Its Application for a Squall Line in South China, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 296-316. doi: 10.1007/s00376-017-6241-0
[10]	Shaowu BAO, Lian XIE, Sethu RAMAN, 2004: A Numerical Study of a TOGA-COARE Squall-Line Using a Coupled Mesoscale Atmosphere-Ocean Model, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 708-716. doi: 10.1007/BF02916368
[11]	Huang Jiayou, 1990: Correlations between Sea Surface Temperature in Eastern Equatorial Pacific and Rain Days over China in Summer, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 127-136. doi: 10.1007/BF02919150
[12]	Yujie PAN, Mingjun WANG, 2019: Impact of the Assimilation Frequency of Radar Data with the ARPS 3DVar and Cloud Analysis System on Forecasts of a Squall Line in Southern China, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 160-172. doi: 10.1007/s00376-018-8087-5
[13]	DING Jincai, YANG Yinming, YE Qixin, HUANG Yan, MA Xiaoxing, MA Leiming, Y. R. GUO, 2007: Moisture Analysis of a Squall Line Case Based on Precipitable Water Vapor Data from a Ground-Based GPS Network in the Yangtze River Delta, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 409-420. doi: 10.1007/s00376-007-0409-y
[14]	Xiaohong BAO, Xiuping YAO, 2022: Intensity Evolution of Zonal Shear Line over the Tibetan Plateau in Summer: A Perspective of Divergent and Rotational Kinetic Energies, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 1021-1033. doi: 10.1007/s00376-021-1302-9
[15]	LIU Dongxia, QIE Xiushu, XIONG Yajun, FENG Guili, 2011: Evolution of the Total Lightning Activity in a Leading-Line and Trailing Stratiform Mesoscale Convective System over Beijing, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 866-878. doi: 10.1007/s00376-010-0001-8
[16]	Dai Yongjiu, Zeng Qingcun, 1997: A Land Surface Model (IAP94) for Climate Studies Part I: Formulation and Validation in Off-line Experiments, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 433-460. doi: 10.1007/s00376-997-0063-4
[17]	Guo Weidong, Sun Shufen, Qian Yongfu, 2002: Case Analyses and Numerical Simulation of Soil Thermal Impacts on Land Surface Energy Budget Based on an Off-Line Land Surface Model, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 500-512. doi: 10.1007/s00376-002-0082-0
[18]	Lihua ZHU, Gang HUANG, Guangzhou FAN, Xia QU, Guijie ZHAO, Wei HUA, 2017: Evolution of Surface Sensible Heat over the Tibetan Plateau Under the Recent Global Warming Hiatus, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 1249-1262. doi: 10.1007/s00376-017- 6298-9
[19]	Kong Fanyou, Huang Meiyuan, Xu Huaying, 1993: Three-Dimensional Numerical Simulations of the Effects of a Cold Water Surface on the Evolution and Propagation of Thunderstorms, ADVANCES IN ATMOSPHERIC SCIENCES, 10, 261-272. doi: 10.1007/BF02658132
[20]	Lei LIU, Fei HU, 2019: Long-term Correlations and Extreme Wind Speed Estimations, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 1121-1128. doi: 10.1007/s00376-019-9031-z

PDF

Get Citation+

Export:

Article Metrics

Article Views: 1276 Times

PDF downloads: 986 Times

Cited by: Times

Proportional views

Manuscript History

Manuscript received: 10 January 1989

Manuscript revised: 10 January 1989

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

Correlations of the Evolution of a CCOPE Squall Line with Surface Thermodynamics and Kinematic Fields

1. Department of Atmospheric Sciences, Nanjing University, Nanjing,National Center for Atmospheric Research P.O. Box 3000, Boulder, Colorado 80307 U.S.A.

Manuscript received: 1989-01-10
Manuscript revised: 1989-01-10

Abstract: A midlatitude squall line passed over the array of the Cooperative Convective Precipitation Experiment (CCOPE) on 1 August 1981. The structure and evolution of the squall line, and the correlations of the storm with sur-face thermodynamics and kinematic fields are investigated, mainly by using radar and surface mesonet data in CCOPE. The storm-wide precipitation efficiency is also estimated.The squall line was of an obvious process of metabolism. Thirty-four cells formed successively in front of the primary storm und eventually merged into it during the period 1700-2010 MDT. The newest cells formed near sur-face equivalent potential temperature maxima, and near surface moisture flux convergence zones or / and the “tem-perature break lines”. The thunderstorm rainfall, with the precipitation efficiency of 54%, lags 25-30 min behind the moisture flux convergence on the average.