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Organized Warm-Sector Rainfall in the Coastal Region of South china in an Anticyclone Synoptic Situation:Observational Analysis

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Journal of meteorological Research 2021年第3期35卷 460-477页

作者： Zhaoming LIANG shouting gao State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesChina Meteorological AdministrationBeijing 100081 Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082 Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029 University of chinese academy of sciences Beijing 100049

Organized warm-sector rainfall(OWSR)near the coast of South china tends to occur in certain synoptic situations characterized with either a low-level jet or an anticyclone,with the latter being less *** paper fills the gap by analyzing 15 OWSR events that occurred in an anticyclone synoptic situation during the pre-summer rainy season of 2011-2016,based on high-resolution observational and reanalysis *** results show that the anticyclone synoptic situation produces marked northerly boundary-layer winds inland and obvious northeasterly,easterly/southwesterly,and southeasterly boundary-layer winds near the coasts of eastern Guangdong,western Guangdong,and Guangxi,*** coastal boundary-layer winds promote favorable environmental conditions and strong convergence for convection initiation;consequently,OWSR is prone to occur near the coasts of western Guangdong and Guangxi,but exhibits different formation and propagation features in the following two subareas.(1)The southeasterly boundary-layer winds tend to converge near the border area between Guangxi and Guangdong(BGG),promoting the formation of a stable convective line along the *** convective line persists with support of upper-level southwesterly winds that facilitate convective cells to propagate along the convective line,producing heavy OWSR along the mountains near BGG.(2)In contrast,a west-east convective line tends to form and maintain near the coast of Yangjiang(YJ)area,about 200 km east of BGG,owing to stable convergence between the easterly(or southwesterly)and the northerly boundary-layer winds reinforced by the mountains near ***,the coupling of upper-level westerly winds with the easterly(southwesterly)boundary-layer winds facilitates expansion(eastward propagation)of the convective line,causing west-east-oriented heavy OWSR near the coast of *** a word,this study reveals refined properties of OWSR initiation and development in the anticyclone synoptic s

关键词： organized warm-sector rainfall(OWSR) anticyclone synoptic situation formation South china

Analysis of the Characteristics of Inertia-Gravity Waves during an Orographic Precipitation Event

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Advances in Atmospheric sciences 2018年第5期35卷 604-620页

作者： Lu LIU Lingkun RAN shouting gao State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences Beijing 100081 China Institute of Atmosphere Physics Chinese Academy Sciences Beijing 100029 China Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province Chengdu 610072 China Plateau Atmosphere and Environment Key Laboratory of Sichuan Province Sichuan 610103 China

A numerical experiment was performed using the Weather Research and Forecasting（WRF） model to analyze the generation and propagation of inertia-gravity waves during an orographic rainstorm that occurred in the Sichuan area on 17 August 2014. To examine the spatial and temporal structures of the inertia-gravity waves and identify the wave types, three wavenumber-frequency spectral analysis methods（Fourier analysis, cross-spectral analysis, and wavelet cross-spectrum analysis）were applied. During the storm, inertia-gravity waves appeared at heights of 10-14 km, with periods of 80-100 min and wavelengths of 40-50 km. These waves were generated over a mountain and propagated eastward at an average speed of 15-20 m s^（-1）. Meanwhile, comparison between the reconstructed inertia-gravity waves and accumulated precipitation showed there was a mutual promotion process between them. The Richardson number and Scorer parameter were used to demonstrate that the eastward-moving inertia-gravity waves were trapped in an effective atmospheric ducting zone with favorable reflector and critical level conditions, which were the primary causes of the long lives of the waves. Finally, numerical experiments to test the sensitivity to terrain and diabatic heating were conducted, and the results suggested a cooperative effect of terrain and diabatic heating contributed to the propagation and enhancement of the waves.

关键词： inertia-gravity waves orographic precipitation Fourier analysis wavelet cross-spectrum analysis

A Convective Vorticity Vector Associated With Tropical Convection:A 2D Cloud-Resolving Modeling Study

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A Convective Vorticity Vector Associated With Tropical Conve...

京津冀及周边地区夏季和初秋气象条件对PM_(2.5)和O_(3)双高影响

中国气象学会2004年年会

作者： gao shouting~1 Ping Fan~1 Li Xiaofan~2 Tao Weikuo~3 (1 LAPC, Institute of Atmospheric Physics chinese academy of sciences beijing, china 2 Joint Center for Satellite Data Assimilation and NOAA/NESDIS/Office of Research and Applications Camp Springs, Maryland, 3 NASA/GSFC/Laboratory for Atmospheres Greenbelt, Maryland)

＜正＞Although dry/moist potential vorticity is a useful physical quantity for meteorological analysis, it cannot be applied to the analysis of 2D simulations. A new vorticity vector （convective vorticity vector, CVV） is introduced in this study to analyze 2D cloud-resolving simulation data associated with 2D tropical convection. The cloud model is forced by the vertical velocity, zonal wind, horizontal advection and sea surface temperature obtained from the TOGA COARE, and is integrated for a selected 10-day period. The CVV has zonal and vertical components in the 2D x-z frame. Analysis of zonally-averaged and massintegrated quantities shows that the correlation coefficient between the vertical component of the CVV and the sum of the cloud hydrometeor mixing ratios is 0. 81, whereas the correlation coefficient between the zonal component and the sum of the mixing ratios is only 0. 18. This indicates that the vertical component of the CVV is closely associated with tropical convection. The tendency equation for the vertical component of the CVV is derived and the zonally-averaged and mass-integrated tendency budgets are analyzed. The tendency of the vertical component of the CVV is determined by the interaction between the vorticity and the zonal gradient of cloud heating. The results demonstrate that the vertical corr ponent of the CVV is a cloud-linked parameter and can be used to study tropical convection.

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环境科学 2024年第8期45卷 4375-4384页

作者：李博文张凯高健高庆先罗宇骞李迎新任家豪茶志春中国环境科学研究院环境基准与风险评估国家重点实验室北京100012

为了解2021年京津冀及周边地区夏季和初秋的PM_(2.5)和O_(3)的双高特征及气象影响,对京津冀及周边地区PM_(2.5)和O_(3)浓度的时空分布特征以及气象条件、副高指数和天气形势进行了分析.结果表明,2021年6~9月PM_(2.5)浓度和DPO_(3)[O_(3... 详细信息

为了解2021年京津冀及周边地区夏季和初秋的PM_(2.5)和O_(3)的双高特征及气象影响,对京津冀及周边地区PM_(2.5)和O_(3)浓度的时空分布特征以及气象条件、副高指数和天气形势进行了分析.结果表明,2021年6~9月PM_(2.5)浓度和DPO_(3)[O_(3)日最大8 h均值与06:00 O_(3)浓度的差值]与2020年和2022年同期相比都有所降低,浓度高值主要集中在6月;PM_(2.5)浓度和DPO_(3)整体呈现从中部向南北逐渐下降的特征,并具有同步的时空变化特征.PM_(2.5)浓度小时均值呈双峰分布,在07:00~10:00和22:00~24:00达到峰值;O_(3)浓度小时值呈相反的变化趋势,在14:00~16:00达到峰值.高PM_(2.5)浓度和DPO_(3)时近地面气象要素特征表现为气温在24.0~28.0℃,相对湿度在58.4%~76.3%,风速在1.5~3 m·s^(-1).副高指数与DPO_(3)存在滞后相关,当副高离京津冀及周边地区越远且强度越强时,DPO_(3)越高.研究区域PM_(2.5)和O_(3)浓度双高的主要天气形势为近地面低压前部、高压型和锋前型,高空受高压脊控制且副高脊线稳定在21°~28°N.

关键词：臭氧(O_(3)) PM_(2.5) 气象要素天气形势京津冀及周边地区

On the Influences of Urbanization on the Extreme Rainfall over Zhengzhou on 20 July 2021: A Convection-Permitting Ensemble Modeling Study

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Advances in Atmospheric sciences 2023年第3期40卷 393-409页

作者： Yali luo Jiahua ZHANG Miao YU Xudong LIANG Rudi XIA Yanyu gao Xiaoyu gao Jinfang YIN State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China Collaborative Innovation Center on Forecast and Evaluation of meteorological Disasters Nanjing University of Information Science and TechnologyNanjing 210044China School of Atmospheric sciences Chengdu University of Information TechnologyChengdu 610225China

This study investigates the influences of urban land cover on the extreme rainfall event over the Zhengzhou city in central china on 20 July 2021 using the Weather Research and Forecasting model at a convection-permitting scale[1-km resolution in the innermost domain(d3)].Two ensembles of simulation(CTRL,NURB),each consisting of 11 members with a multi-layer urban canopy model and various combinations of physics schemes,were conducted using different land cover scenarios:(i)the real urban land cover,(ii)all cities in d3 being replaced with natural land *** results suggest that CTRL reasonably reproduces the spatiotemporal evolution of rainstorms and the 24-h rainfall accumulation over the key region,although the maximum hourly rainfall is underestimated and displaced to the west or southwest by most *** ensemble mean 24-h rainfall accumulation over the key region of heavy rainfall is reduced by 13%,and the maximum hourly rainfall simulated by each member is reduced by 15–70 mm in CTRL relative to *** reduction in the simulated rainfall by urbanization is closely associated with numerous cities/towns to the south,southeast,and east of *** heating effects jointly lead to formation of anomalous upward motions in and above the planetary boundary layer(PBL),which exaggerates the PBL drying effect due to reduced evapotranspiration and also enhances the wind stilling effect due to increased surface friction in urban *** a result,the lateral inflows of moisture and high-θe(equivalent potential temperature)air from south and east to Zhengzhou are reduced.

关键词： urbanization extreme rainfall convection-permitting ensemble simulation land-atmosphere interaction boundary layer water vapor transport

A New Method for Predicting the Decadal Component of Global SST

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Atmospheric and Oceanic Science Letters 2012年第6期5卷 521-526页

作者： luo Fei-Fei LI Shuanglin gao Yong-Qi Tore FUREVIK Nansen-Zhu International Research Centre and Climate Change Research Center Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China Graduate University of chinese academy of sciences Beijing 100049 China Nansen Environmental and Remote Sensing Center/Bjerknes Center for Climate Research Bergen Norway Geophysical Institute and Bjerknes Center for Climate Research University of Bergen Bergen Norway

A simple approach that considers both internal decadal variability and the effect of anthropogenic forcing is developed to predict the decadal components of global sea surface temperatures (SSTs) for the three decades 2011-2040. The internal decadal component is derived by harmonic wave expansion analyses based on the quasiperiodic evolution of the Pacific Decadal Oscillation (PDO) and the Atlantic Multidecadal Oscillation (AMO), as obtained from observational SST datasets. Furthermore, the external decadal component induced by anthropogenic forcing is assessed with a second-order fit based on the ensemble of projected SSTs in the experiments with multiple coupled climate models associated with the third Coupled Model Intercomparison Project (CMIP3) under the Intergovernmental Panels on Climate Change (IPCC) Special Reports on Emissions Scenario (SRES) A1B. A validation for the years from 2002 to 2010 based on a comparison of the predicted and the observed SST and their spatial correlation, as well as the root mean square error (RMSE), suggests that the approach is reasonable overall. In addition, the predicted results over the 50°S-50°N global band, the Indian Ocean, the western Pacific Ocean, the tropical eastern Pacific Ocean, and the North and the South Atlantic Ocean are presented.

关键词： decadal climate prediction internal decadal variability anthropogenic forcing SST

A Localization Method of High Energy Transients for All-sky Gamma-ray Monitor

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Research in Astronomy and Astrophysics 2024年第10期24卷 25-35页

作者： Yi Zhao Wangchen Xue Shaolin Xiong Qi luo Yuanhao Wang Jiacong Liu Heng Yu Xiaoyun Zhao Yue Huang Jinyuan Liao Jianchao Sun Xiaobo Li Qibin Yi Ce Cai Shuo Xiao Shenglun Xie Chao Zheng Yanqiu Zhang Chenwei Wang Wenjun Tan Zhiwei Guo Chaoyang Li Zhenghua An Gang Chen Yanqi Du Min gao Ke Gong Dongya Guo Jiang He Jianjian He Bing Li Gang Li Xinqiao Li Jing Liang Xiaohua Liang Yaqing Liu Xiang Ma Rui Qiao Liming Song Xinying Song Xilei Sun Jin Wang Ping Wang Xiangyang Wen Hong Wu Yanbing Xu Sheng Yang Dali Zhang Fan Zhang Hongmei Zhang Peng Zhang Shu Zhang Zhen Zhang Shijie Zheng Keke Zhang Xingbo Han Haiyan Wu Hu Tai Hao Geng gaopeng Lu Wei Xu Fanchao Lyu Hongbo Zhang Fangjun Lu Shuangnan Zhang Department of Astronomy Beijing Normal UniversityBeijing 100875China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of chinese academy of sciences Beijing 100049China School of Physics and Optoelectronics Xiangtan UniversityXiangtan 411105China College of Physics Hebei Normal UniversityShijiazhuang 050024China Guizhou Provincial Key Laboratory of Radio Astronomy and Data Processing Guizhou Normal UniversityGuiyang 550001China School of Physics and Electronic Science Guizhou Normal UniversityGuiyang 550001China Institute of Astrophysics Central China Normal UniversityWuhan 430079China College of physics sciences Technology Hebei UniversityBaoding 071002China Physics and Space Science College China West Normal UniversityNanchong 637002China School of Computing and Artificial Intelligence Southwest Jiaotong UniversityChengdu 611756China College of Electronic and information Engineering Tongji UniversityShanghai 201804China Innovation academy for Microsatellites of chinese academy of sciences Shanghai 201304China National Space Science Center Chinese Academy of SciencesBeijing 100190China School of Earth and Space sciences University of Science and Technology of ChinaHefei 230026China Electronic Information School Wuhan UniversityWuhan 430072China Key Laboratory of Transportation Meteorology of china meteorological Administration Nanjing Joint Institute for Atmospheric SciencesNanjing 210000China Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

Fast and reliable localization of high-energy transients is crucial for characterizing the burst properties and guiding the follow-up *** based on the relative counts of different detectors has been widely used for all-sky gamma-ray *** are two major methods for this count distribution localization:χ^(2)minimization method and the Bayesian *** we propose a modified Bayesian method that could take advantage of both the accuracy of the Bayesian method and the simplicity of the χ^(2)*** comprehensive simulations,we find that our Bayesian method with Poisson likelihood is generally more applicable for various bursts than the χ^(2)method,especially for weak *** further proposed a location-spectrum iteration approach based on the Bayesian inference,which could alleviate the problems caused by the spectral difference between the burst and location *** method is very suitable for scenarios with limited computation resources or timesensitive applications,such as in-flight localization software,and low-latency localization for rapidly follow-up observations.

关键词： methods:data analysis methods:analytical (stars:)gamma-ray burst:general

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藏东南乌连沟石冰川活动特征与灾变机制

冰川冻土 2024年第2期46卷 406-416页

作者：李元灵余斌黄海陈龙杨东旭张佳佳高波田尤李洪梁罗伦成都理工大学环境与土木工程学院四川成都610059 中国地质科学院探矿工艺研究所四川成都611734 自然资源部地质灾害风险防控工程技术创新中心四川成都611734 中国科学院青藏高原研究所北京100101 中国地质调查局军民融合地质调查中心四川成都610036

全球气候变暖背景下,青藏高原的石冰川活动性增强,产生灾变的趋势上升。采用遥感影像分析、现场调查及气象和径流监测等方法,获取了藏东南地区乌连沟石冰川的特征数据,分析其灾变形成泥石流的诱发因素及过程。结果显示,乌连沟石冰川2010... 详细信息

全球气候变暖背景下,青藏高原的石冰川活动性增强,产生灾变的趋势上升。采用遥感影像分析、现场调查及气象和径流监测等方法,获取了藏东南地区乌连沟石冰川的特征数据,分析其灾变形成泥石流的诱发因素及过程。结果显示,乌连沟石冰川2010—2017年平均运动速度为1~3 m·a^(-1),且前缘整体运动速度显著高于中后部。石冰川前缘向前运动进而失稳,可持续为沟道输送松散物源,2013年及2014年约有5600~9000 m^(3)石冰川输送的松散物质被启动。形成泥石流除需要充沛的物源外,还需要足够的水源启动。区内降雨量有限,乌连沟最大径流出现在5—6月,主要由高温引发冰雪消融贡献。分析2013年及2014年两次泥石流事件发现,其主要诱发因素是高温,灾变机制为气温快速升高导致表层冰雪快速消融,融水在石冰川表面凹陷处积聚形成湖塘,湖水泄流启动了石冰川前缘积累的松散物质形成泥石流。未来随着气候变暖加剧,石冰川的活动性进一步增强,在急剧升温或强降雨影响下,形成泥石流的规模及频率可能会增加,需防范石冰川灾变形成泥石流的致灾风险。

关键词：石冰川泥石流青藏高原气候变化

气候系统模式对南亚高压气候特征的模拟比较研究

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高原气象 2018年第2期37卷 455-468页

作者：董敏吴统文左群杰高守亭国家气候中心北京100081 大气物理研究所北京100029 中国气象科学研究院灾害天气国家重点实验室北京100081

应用国家气候中心气候模式(BCC_CSM1.1)CMIP5和AMIP试验结果对模式模拟南亚高压的能力进行了评估。结果表明,BCC_CSM1.1模式对作为北半球高层大气环流活动中心的南亚高压有较好的模拟能力。它能够模拟出南亚高压的气候平均状态、季节变... 详细信息

应用国家气候中心气候模式(BCC_CSM1.1)CMIP5和AMIP试验结果对模式模拟南亚高压的能力进行了评估。结果表明,BCC_CSM1.1模式对作为北半球高层大气环流活动中心的南亚高压有较好的模拟能力。它能够模拟出南亚高压的气候平均状态、季节变化,对南亚高压脊线的位置、高压中心的位置及其季节变化也有较好的模拟。模式存在的主要问题是高度场和南亚高压强度的模拟结果较观测明显偏弱;模拟的脊线位置在冬半年要比观测略偏南;模拟的南亚高压中心在某些月份与观测有出入,例如,5月南亚高压中心的模拟较观测偏西,夏季南亚高压的双中心的位置与实际也略有差异;模拟的南亚高压强度偏低与多种因素有关。比较耦合模式与单独大气模式模拟的南亚高压强度发现,在给定观测海温的条件下,模拟的误差减小13%~15%。因此可以认为耦合模式的误差大部分来自大气分量。海洋模拟的改进虽然对总体的模拟结果有所改进但贡献不大;比较T106和T42两种分辨率的模式对南亚高压进行模拟结果发现,分辨率的提高明显减小了南亚高压及全球100 h Pa位势高度场的模拟误差。为验证地形强迫对模拟结果的影响,进行了改变青藏高原地形高度的试验,结果表明青藏高原地形高度对南亚高压的强度有明显的影响,高原高度升高将会促使南亚高压及更大范围的高层位势高度场增强。因此,正确给定高原地形这一模式的下边界条件,对模拟结果的改进有重要作用。

关键词：南亚高压模拟评估