squall line;
predictability;
South China;
ensemble;
moisture;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
This study investigated the predictability of a squall line associated with a quasi-stationary front on 23 April 2007 in South China through deterministic and probabilistic forecasts. Our results show that the squall-line simulation was very sensitive to model error from horizontal resolution and uncertainties in physical parameterization schemes. At least a 10-km grid size was necessary to decently capture this squall line. The simulated squall line with a grid size of 4.5 km was most sensitive to long-wave radiation parameterization schemes relative to other physical schemes such as microphysics and planetary boundary layer. For a grid size from 20 to 5 km, a cumulus parameterization scheme degraded the squall-line simulation (relative to turning it off), with a more severe degradation to grid size <10 km than >10 km.
机构:
Laboratory for Climate and Ocean-Atmosphere Studies,Department of Atmospheric and Oceanic Sciences, School of Physics,Peking UniversityLaboratory for Climate and Ocean-Atmosphere Studies,Department of Atmospheric and Oceanic Sciences, School of Physics,Peking University
机构:
Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,CMAGuangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,CMA
郑腾飞
黄健
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机构:
Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,CMAGuangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,CMA
黄健
万齐林
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h-index: 0
机构:
Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,CMAGuangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,CMA
万齐林
刘显通
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h-index: 0
机构:
Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,CMAGuangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,CMA
刘显通
于鑫
论文数: 0引用数: 0
h-index: 0
机构:
Guangdong Provincial Meteorological Observatory/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,CMAGuangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction,CMA
机构:
CMA, Key Lab Reg Numer Weather Predict, Guangzhou Inst Trop & Marine Meteorol, Guangzhou 510080, Guangdong, Peoples R China
China Meteorol Adm, Chinese Acad Meteorol Sci, State Key Lab Severe Weather LaSW, Beijing 100081, Peoples R ChinaCMA, Key Lab Reg Numer Weather Predict, Guangzhou Inst Trop & Marine Meteorol, Guangzhou 510080, Guangdong, Peoples R China
Wang, Hong
Kong, Fanyou
论文数: 0引用数: 0
h-index: 0
机构:
Univ Oklahoma, Ctr Anal & Predict Storms, Norman, OK 73072 USA
Univ Oklahoma, Sch Meteorol, Norman, OK 73072 USACMA, Key Lab Reg Numer Weather Predict, Guangzhou Inst Trop & Marine Meteorol, Guangzhou 510080, Guangdong, Peoples R China
Kong, Fanyou
Wu, Naigeng
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h-index: 0
机构:
CMA, Key Lab Reg Numer Weather Predict, Guangzhou Inst Trop & Marine Meteorol, Guangzhou 510080, Guangdong, Peoples R ChinaCMA, Key Lab Reg Numer Weather Predict, Guangzhou Inst Trop & Marine Meteorol, Guangzhou 510080, Guangdong, Peoples R China
Wu, Naigeng
Lan, Hongping
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h-index: 0
机构:
Shenzhen Key Lab Severe Weather South China, Shenzhen 518040, Peoples R ChinaCMA, Key Lab Reg Numer Weather Predict, Guangzhou Inst Trop & Marine Meteorol, Guangzhou 510080, Guangdong, Peoples R China
Lan, Hongping
Yin, Jinfang
论文数: 0引用数: 0
h-index: 0
机构:
China Meteorol Adm, Chinese Acad Meteorol Sci, State Key Lab Severe Weather LaSW, Beijing 100081, Peoples R ChinaCMA, Key Lab Reg Numer Weather Predict, Guangzhou Inst Trop & Marine Meteorol, Guangzhou 510080, Guangdong, Peoples R China
机构:
Penn State Univ, Dept Meteorol, University Pk, PA 16802 USAPeking Univ, Lab Climate & Ocean Atmosphere Studies, Dept Atmospher & Ocean Sci, Sch Phys, Beijing 100871, Peoples R China
Zhang, Fuqing
Markowski, Paul
论文数: 0引用数: 0
h-index: 0
机构:
Penn State Univ, Dept Meteorol, University Pk, PA 16802 USAPeking Univ, Lab Climate & Ocean Atmosphere Studies, Dept Atmospher & Ocean Sci, Sch Phys, Beijing 100871, Peoples R China