旋翼无人机盐城试验观测资料分析及其在一次浓雾天气观测中的应用     

王宏斌  吴泓  李永  徐家平  祖繁  张志薇 《气象》2020,46(1):89-97

2018年3月28—30日、6月20—26日和9月5—13日在江苏省盐城市射阳站开展了旋翼无人机大气边界层垂直结构观测试验,并与L波段雷达探空资料进行对比,验证无人机观测资料精度。结果表明无人机观测的温度、相对湿度、风向、风速廓线与探空观测资料具有较好的一致性。二者温度、相对湿度的相关系数均为0.98,温度绝对偏差为0.57℃,相对湿度绝对偏差为4.25%,风向相关系数为0.98,绝对偏差为11.5°,二者风速的相关系数为0.91,绝对偏差为1.88 m·s~(-1),且无人机探测的风速为对应高度上的瞬时风速,可以更好地反映出边界层内风速细节变化特征。试验期间,无人机观测到一次夏季浓雾过程边界层结构细致变化特征,其观测的雾的边界层结构特征和宏观特征与探空观测基本一致。验证结果表明无人机在边界层气象观测中具有很好的应用前景。  相似文献   

2020年两次北上台风产生的局地大暴雨天气过程分析     

刘玉娇  林虹  裴永燕 《黑龙江气象》2020,37(4):1-3,16

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干冷空气入侵台风"海棠"残余低压引发的华北地区大暴雨分析     

陈宏  杨晓君  尉英华  易笑园  杨洋  刘一玮  徐威 《湖北气象》2020,39(3):241-249

利用地面逐小时观测资料、NCEP/NCAR (1°×1°)再分析资料、FY-2F卫星加密观测(6 min分辨率)的云顶亮温(TBB)和常规观测资料,对1710号台风"海棠"残余低压北上与冷空气结合导致华北东部大暴雨天气过程进行分析。结果表明:(1)该华北东部大暴雨过程分为两个主要时段,2017年8月1日23时—2日20时(北京时)华北东南部暴雨,由台风残余低压产生,8月2日20时—3日11时华北东北部暴雨,是由减弱变性的台风环流与西风槽东移带来的干冷空气结合进而导致新生气旋和低涡产生引起。(2) 8月2日20时,台风与冷空气逐渐结合,干冷空气从对流层中高层进入变性台风北部,造成位涡下传,进而导致对流层低层形成低涡、地面形成新生气旋,同时激发出中尺度对流系统,系统稳定发展并缓慢向东北方向移动,导致持续近5 h的短时强降雨。(3)暴雨水汽来源主要有两部分,一是台风本身携带来的由南风输送的水汽,二是来自黄渤海由东风输送的水汽,二者结合后从对流层低层将水汽带至华北东北部,且在燕山前形成了水汽强辐合,为该暴雨过程大提供充足的水汽条件。  相似文献   

太阳能热水器雷电防护技术分析     

李虹 《气象与环境科学》2013,36(4):88-92

太阳能热水器的雷电防护隐患很大,每年都有不少雷击案例发生。通过调查发现,大多数热水器无雷电防护装置;多安装在屋顶,易招致雷击;安装人员多为非专业人员,缺乏必备的雷电防护知识。对太阳能热水器造成危害的不仅有直击雷,还有感应雷。因此,太阳能热水器的雷电防护,既要采取防直击雷防护措施,也要采取防雷电感应措施。  相似文献   

Simulation of the Direct Radiative Effect of Mineral Dust and Sea Salt Aerosols in a Doubled Carbon Dioxide Climate          下载免费PDF全文

YUE Xu  LIAO Hong  TANG Jin-Ping 《大气和海洋科学快报》2013,6(5):343-348

The authors examine the equilibrium climatic response to the direct radiative effect(DRE)of mineral dust and sea salt aerosols in a doubled-CO2climate with two-way coupling of aerosol-climate interactions.In response to the drier and windier conditions,dust emissions increase by 26%in the Sahara Desert and by 18%on the global scale relative to present day.Sea salt emissions increase in high latitudes(60°)but decrease in middle latitudes(30°–60°)of both hemispheres due to the poleward shift of westerlies,leading to a 3%decrease in global emissions.The burdens of dust and sea salt increase by 31%and 7%respectively,because reductions in rainfall over the tropical oceans increase the lifetime of particles in the warmer climate.The higher aerosol loading in the doubled-CO2climate reinforces aerosol DRE by0.2 W m 2,leading to an additional cooling of 0.1°C at the surface compared with the climatic effects of aerosols in present day.The additional cooling from changes in natural aerosols compensates for up to 15%of the regional warming induced by doubled CO2.  相似文献   

Soil moisture retrieved from microwave satellite data and its relationship with the Asian dust (Hwangsa) frequency in East Asia during the period from 2003 to 2010     

Youngmi Kim  Mi-Lim Ou  Sang-Boom Ryoo  Youngsin Chun  Eun-Hee Lee  Sungwook Hong 《Asia-Pacific Journal of Atmospheric Sciences》2013,49(4):527-534

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山东不同云系降水微物理参数特征     

王洪  雷恒池  杨洁帆  张佃国 《大气科学》2020,44(2):315-326

研究不同云系降水的微物理参数特征,对研究降水机制、人工影响天气、雷达定量测量降水、数值预报模式中微物理参数化方案的选择等都有一定意义。本文针对2015年济南地区的液态降水过程,基于微降水雷达(Micro Rain Radar,简称MRR)资料,研究不同云系降水的微物理参数。在400 m高度上,层状云降水0.02~0.2 mm h-1雨强样本数很大,但对累计降水量的贡献很小。混合云和对流云降水在大粒子端数浓度较高。在垂直方向上,层状云降水中的粒子的尺度较集中,中值体积直径D0平均在1 mm左右,随高度的变化不大。对流云降水在雨强大于20 mm h-1时,强垂直气流(包括上升气流和下沉气流)对粒子直径的影响较大,进而影响空中微降水雷达反演降水参数的数据质量。而垂直气流的影响对层状云降水影响较小,在层状云降水时,微降水雷达可以用来分析零度层亮带以下雨滴谱在垂直方向上的演变。  相似文献   

全球升温1.5℃和2.0℃背景下北京市暴雨洪涝淹没风险研究     

张君枝  袁冯  王冀  孙赫敏  刘洪  马文林 《气候变化研究进展》2020,16(1):78-87

基于第五次耦合模式比较计划(CMIP5)的5个气候模式模拟结果,结合FloodArea模型,对RCP8.5情景下全球升温1.5℃和2.0℃时,北京市极端降水和淹没风险进行分析。结果表明：北京市极端降水量呈从西南向东北逐渐减少的分布趋势。在升温2.0℃时,极端降水和淹没风险增加较升温1.5℃时明显,郊区极端降水增加最明显的地区是房山和门头沟,城区极端降水量增加最明显的地区是海淀、石景山和丰台区。海淀区出现一级和二级淹没风险的面积最大,其次是丰台和石景山区。郊区的延庆和怀柔是发生一级淹没风险面积最大的地区。  相似文献   

A Case Study of the November 2012 Mixed Rain-Snow Storm over North China     

WANG Donghai  DUAN Yihong  LIU Ying  LIANG Zhaoming  LIU Chongjian  ZHAO Yanfeng  ZHANG Yuwei  YIN Jinfang  WANG Hong 《Acta Meteorologica Sinica》2013,27(5):601-625

A mixed rain-snow storm associated with a strong burst of cold air and development of an extratropical cyclone occurred over North China from 3 to 5 November 2012.This early snowfall event was characterized by a dramatic drop in temperature,strong winds,high precipitation intensity,broad spatial extent,and coexistence of multi-phase precipitating hydrometeors.This study investigates the multi-scale interactions between the large-scale circulation background and the synoptic-scale weather systems associated with the storm.The results are as follows.（1） The Arctic Oscillation （AO） had been in its negative phase long before the event,leading to southward advection of cold air into North China in advance of the storm.（2）The large-scale atmospheric circulation experienced a decreased number of long waves upstream of North China prior to the storm,resulting in reduced wave velocity and an almost stagnant low pressure system （extratropical cyclone） over North China.（3） An Ω-shaped blocking high over East Asia and the western Pacific obstructed the eastward movement of an upstream trough,allowing the corresponding surface cyclone to stabilize and persist over Beijing and its neighboring areas.This blocking high was a major factor in making this event a historically most severe precipitation event in autumn in Beijing for the past 60 years.（4） Baroclinic instability at lower levels gave rise to rapid development of the cyclone under the classical ＂second type＂ development mechanism for extratropical cyclones.（5） Moisture originated from the Yellow Sea entered the slowly-moving cyclone in a steady stream,creating fairly favorable water vapor supply for the heavy rainfall-snowfall,especially during the later stage of the cyclone development.（6） Moisture transport and frontal lifting triggered low-level instability and updrafts.Intensification of the front enhanced the vertical wind shear,causing conditional symmetric instability （CSI） to expand upward within the unstable lower troposphere,and to eventually gear into the CSI region of the upper troposphere,which facilitated the upward development of low-level updrafts.  相似文献   

Evaluation of an ensemble of regional climate model simulations over South America driven by the ERA-Interim reanalysis: model performance and uncertainties   总被引：2，自引：1，他引：1  

Silvina A. Solman  E. Sanchez  P. Samuelsson  R. P. da Rocha  L. Li  J. Marengo  N. L. Pessacg  A. R. C. Remedio  S. C. Chou  H. Berbery  H. Le Treut  M. de Castro  D. Jacob 《Climate Dynamics》2013,41(5-6):1139-1157

The capability of a set of 7 coordinated regional climate model simulations performed in the framework of the CLARIS-LPB Project in reproducing the mean climate conditions over the South American continent has been evaluated. The model simulations were forced by the ERA-Interim reanalysis dataset for the period 1990–2008 on a grid resolution of 50 km, following the CORDEX protocol. The analysis was focused on evaluating the reliability of simulating mean precipitation and surface air temperature, which are the variables most commonly used for impact studies. Both the common features and the differences among individual models have been evaluated and compared against several observational datasets. In this study the ensemble bias and the degree of agreement among individual models have been quantified. The evaluation was focused on the seasonal means, the area-averaged annual cycles and the frequency distributions of monthly means over target sub-regions. Results show that the Regional Climate Model ensemble reproduces adequately well these features, with biases mostly within ±2 °C and ±20 % for temperature and precipitation, respectively. However, the multi-model ensemble depicts larger biases and larger uncertainty (as defined by the standard deviation of the models) over tropical regions compared with subtropical regions. Though some systematic biases were detected particularly over the La Plata Basin region, such as underestimation of rainfall during winter months and overestimation of temperature during summer months, every model shares a similar behavior and, consequently, the uncertainty in simulating current climate conditions is low. Every model is able to capture the variety in the shape of the frequency distribution for both temperature and precipitation along the South American continent. Differences among individual models and observations revealed the nature of individual model biases, showing either a shift in the distribution or an overestimation or underestimation of the range of variability.  相似文献