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A Brief Discussion on the High-impact Cold-season Tornado Outbreak During 10-11 December 2021 in the United States 被引量:2
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作者 LI Cai-ling BAI Lan-qiang +5 位作者 YU Xiao-ding TAN Hao-bo HUANG Xian-xiang YAN Li-jun LI Zhao-ming ZHANG Ze-yu 《Journal of Tropical Meteorology》 SCIE 2022年第2期252-260,共9页
An outbreak of powerful tornadoes tore through multiple states in the central and southern United States from 10 to 11 December 2021.It is claimed the deadliest tornado outbreak that has taken place on December days.T... An outbreak of powerful tornadoes tore through multiple states in the central and southern United States from 10 to 11 December 2021.It is claimed the deadliest tornado outbreak that has taken place on December days.The National Oceanic and Atmospheric Administration had confirmed 66 tornadoes as of 21 December,producing at least 90 fatalities.Most tornadoes occurred at night and thus they were difficult to be visually located,which directly increases the risk for local residents.Two violent nighttime tornadoes were rated category 4 on the enhanced Fujita scale(EF4).Although a high death toll was caused during this event,the operational service actually presented an excellent performance.This tornado outbreak has aroused extensive discussion from both the public and the research community in China.This paper presents a brief discussion on the formation environment and warning services of the tornado outbreak.Recall the deadliest violent tornado in the past 45 years in China,the radar-based tornadic vortex signatures at the locations with EF4 damages show a comparable strength with those in the current cases.Some views on the tornado warning issuance and receiving and damage surveys in China are also presented. 展开更多
关键词 tornado tornado outbreak severe weather cold season warning service
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Predictability of US tornado outbreak seasons using ENSO and northern hemisphere geopotential height variability 被引量:1
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作者 Kent H.Sparrow Andrew E.Mercer 《Geoscience Frontiers》 SCIE CAS CSCD 2016年第1期21-31,共11页
The predictability of dangerous atmospheric phenomena such as tornado outbreaks has generally been limited to a week or less. However, recent work has demonstrated the importance of the Rossby wavetrain phasing over t... The predictability of dangerous atmospheric phenomena such as tornado outbreaks has generally been limited to a week or less. However, recent work has demonstrated the importance of the Rossby wavetrain phasing over the United States in establishing outbreak-favorable environments. The predictability of Rossby wavetrain phasing is strongly related to numerous climate-scale interannual variability indices, which are predictable many months in advance. To formalize the relationship between interannual variability indices and seasonal tornado outbreak frequency, indices derived from monthly mean Northern Hemisphere 500-hPa and 1000-hPa geopotential height fields and Ni?o 3.4 indices for ENSO phase were compared to annual tornado outbreak seasonal frequencies. Statistical models predicting seasonal outbreak frequency were established using linear(stepwise multivariate linear regressione SMLR) and nonlinear(support vector regressione SVR) statistical modeling techniques.The stepwise methodology revealed predictors that are important in establishing outbreak-favorable environments at long lead times. Additionally, the results of the statistical modeling revealed that the nonlinear SVR technique reduced root mean square errors produced by the control SMLR technique by 28% and provided more consistent forecasts. A preliminary physical analysis revealed that years with high outbreak frequencies were associated with the presence of 500-mb troughs over the central and western US during the peak of outbreak season, while lower frequencies were consistent with ridging over the US or northwest flow over the Plains. These patterns support the results of the statistical modeling, which demonstrate the utility of geopotential height variability as a predictability measure of outbreak frequency. 展开更多
关键词 Interannual variability Support vector regression Climate predictability tornado outbreaks
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Using Extreme Value Theory to Assess the Mortality Risk of Tornado Outbreaks
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作者 Vilane Gonçalves Sales Eric Strobl 《International Journal of Disaster Risk Science》 SCIE CSCD 2023年第1期14-25,共12页
The majority of tornado fatalities occur during severe thunderstorm occurrences that produce a large number of tornadoes,termed tornado outbreaks.This study used extreme value theory to estimate the impact of tornado ... The majority of tornado fatalities occur during severe thunderstorm occurrences that produce a large number of tornadoes,termed tornado outbreaks.This study used extreme value theory to estimate the impact of tornado outbreaks on fatalities while accounting for climate and demographic factors.The findings indicate that the number of fatalities increases with the increase of tornado outbreaks.Additionally,this study undertook a counterfactual analysis to determine what would have been the probability of a tornado outbreak under various climatic and demographic scenarios.The results of the counterfactual study indicate that the likelihood of increased mortality increases as the population forecast grows.Intensified El Niño events,on the other hand,reduce the likelihood of further fatalities.La Niña events are expected to increase probability of fatalities. 展开更多
关键词 Climate change DEMOGRAPHY Extreme value theory Fatalities tornado outbreaks
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Uncertainties in Tornado Records and Potential Solutions from the Perspective of Damage Surveys 被引量:1
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作者 Zhaoming LI Zhiyong MENG +2 位作者 Lanqiang BAI Kanglong CAI Xiaohua WANG 《Advances in Atmospheric Sciences》 2025年第3期411-416,共6页
Confirming tornado occurrence and estimating tornado intensity are quite challenging,especially for long-track tornadoes and tornado outbreaks,because of the inefficiency or absence of on-site damage surveys,especiall... Confirming tornado occurrence and estimating tornado intensity are quite challenging,especially for long-track tornadoes and tornado outbreaks,because of the inefficiency or absence of on-site damage surveys,especially in sparsely populated regions,which brings about large uncertainties in the tornado record.Some potential methods to alleviate this uncertainty in tornado records have been introduced,such as reports from tornado enthusiasts,trawling of social media sites,and spaceborne photography,which have been shown to be efficient in collecting damage information and depicting the damage swath and ascertaining tornado records.Unmanned aerial vehicles may help in effectively rating tornado intensities.Since 2021,some of these methods have been being tested or are under operation at the China Meteorological Administration Tornado Key Laboratory and the Foshan Tornado Research Center,and have proved to be effective.They have great potential in advancing tornado or downburst damage surveys nationally or worldwide,as well as assessing tornado climatologies,especially in sparsely populated regions such as Northeast China. 展开更多
关键词 tornado outbreak damage survey unmanned aerial vehicle spaceborne photography
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融合多源信息的龙卷爆发事件灾情调查方法研究
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作者 蔡康龙 戴春容 +2 位作者 张修远 麦永耀 李彩玲 《气象科技》 2026年第1期108-117,共10页
本文以2024年9月17日发生在华东四省的龙卷爆发事件为例,发展并实践了一套融合多源信息与灾情特征的系统性调查方法。该方法涵盖舆情收集与分析、调查路径规划、现场调查技巧、无人机航拍技术以及灾情的分析评估等关键环节。应用此方法... 本文以2024年9月17日发生在华东四省的龙卷爆发事件为例,发展并实践了一套融合多源信息与灾情特征的系统性调查方法。该方法涵盖舆情收集与分析、调查路径规划、现场调查技巧、无人机航拍技术以及灾情的分析评估等关键环节。应用此方法,灾情调查组在三天内高效完成了10处舆情点的实地验证,确认其中9处由11个独立的龙卷所致(包括EF1级8个、EF0级3个),并成功识别出一处虚假舆情。本文系统阐述了基于条状痕迹、辐合倒伏与灾情狭道等关键地面特征判别龙卷移向的技术,并据此制定了标准化的无人机航拍流程,有效克服了弱龙卷地面痕迹模糊、雷达探测局限等调查难点。通过综合龙卷漏斗视频、地面灾情特征与雷达速度对等信息,研究完成了对所有龙卷的精确判识与定损评估,构建了包含路径、强度与时间等关键参数的完整个例数据集。本研究总结的系统调查方法,为龙卷灾情调查(包括群发与单个事件)提供了标准化模板,显著提升了工作的准确性与效率。所获得的高精度灾情信息,为构建高质量的龙卷数据库、精准检验监测预警效果提供了不可或缺的实证依据。 展开更多
关键词 龙卷爆发 灾情调查 灾情特征 多源信息 龙卷移向
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2024年7月5日山东龙卷爆发事件雷达观测特征
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作者 刁秀广 孟宪贵 +1 位作者 朱晓清 韩永清 《海洋气象学报》 2025年第2期14-27,共14页
基于新一代天气雷达探测资料,结合探空、地面实况资料、灾情调查报告及ERA5资料,对2024年7月5日山东爆发性龙卷天气的环境物理量、风暴演变、龙卷风暴低层小尺度涡旋及双偏振特征进行分析。结果表明:温带气旋形势下,爆发性龙卷都出现在... 基于新一代天气雷达探测资料,结合探空、地面实况资料、灾情调查报告及ERA5资料,对2024年7月5日山东爆发性龙卷天气的环境物理量、风暴演变、龙卷风暴低层小尺度涡旋及双偏振特征进行分析。结果表明:温带气旋形势下,爆发性龙卷都出现在地面低压中心的东或东北方,低空急流较强,大的低空垂直风切变、风暴相对螺旋度和能量螺旋度指数是龙卷爆发的关键环境因子。6个龙卷产生在地面强的3 h负变压区内偏东风气流附近。准线性对流系统内的超级单体或弓形回波,或者线性对流系统前侧暖区新生发展起来的强风暴是爆发性龙卷的直接缔造者,强涡旋中心的快速下降或低层局部径向风的迅速增大,是小尺度龙卷涡旋产生的前兆。8个中气旋龙卷风暴低层中气旋旋转速度在20 m·s^(-1)以上,1个非中气旋龙卷由弓形回波诱发,其后部入流为42~45 m·s^(-1)。东明龙卷破坏性最强,母体风暴上升气流最强,低层龙卷碎片宽度约为2 km,顶部高度达9 km左右,呈分散状态,最大宽度约为4 km。 展开更多
关键词 龙卷爆发 小尺度涡旋 龙卷碎片特征
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