Identification of synoptic patterns for extreme rainfall events associated with landfalling typhoons in China during 1960–2020

台风 气候学 环境科学 降水 低谷(经济学) 热带气旋 中国 气象学 地质学 地理 考古 经济 宏观经济学
作者
Dajun Zhao,Hongxiong Xu,Yubin Yu,Lianshou Chen
出处
期刊:Advances in Climate Change Research [Elsevier]
卷期号:13 (5): 651-665 被引量:13
标识
DOI:10.1016/j.accre.2022.07.002
摘要

Extreme rainfall associated with landfalling typhoon (ERLTC) can cause severe disasters and economic impacts throughout China. Improving the accuracy of ERLTC forecasts is therefore crucial in disaster prevention and mitigation. The top 26 ERLTC events in China during 1960–2020 are investigated based on multi-source datasets. These ERLTC events are categorized into five main types according to the geographical location of the extreme precipitation and its position relative to the tropical cyclone (TC) center, namely: the typhoon inner-core rainfall in Taiwan (TWIC), typhoon inverted trough rainfall in Taiwan (TWIT), weak typhoon rainfall in Hainan (HNWK), strong typhoon rainfall in Zhejiang (ZJST) and inland typhoon remnant rainfall (ILRM). All the ERLTC events occurred in the weakening stage of TC after reaching its lifetime maximum intensity in convective cloud (TBB ≤ −32 °C) regions over complex local terrain. The translational speeds of 20 TCs (76.9% of the total) were smaller than the climatological average (20.6 km h−1) during the extreme precipitation events. The differences are as follows: the TWIC and TWIT types are featured with different season, track and water vapor channel although both occurred in Taiwan. The other three types are distinguished by spinning track and strong convective cloud for HNWK type, strong TC intensity and binary TC interactions for ZJST type; and stagnation and strong westerly trough activity for ILRM type, respectively. These results are expected to provide useful clues for an in-depth understanding of ERLTC events over China.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
紧张的金毛完成签到,获得积分10
刚刚
王美祥发布了新的文献求助10
刚刚
金桔希子完成签到,获得积分10
刚刚
刚刚
Jenny应助清秀的烨伟采纳,获得500
1秒前
Beebee24完成签到,获得积分10
1秒前
丰知然应助冰红茶采纳,获得10
3秒前
自由元菱发布了新的文献求助10
3秒前
GD完成签到,获得积分10
4秒前
科研通AI2S应助ASZXDW采纳,获得10
4秒前
5秒前
青木蓝完成签到,获得积分10
6秒前
金金发布了新的文献求助10
6秒前
6秒前
白十二完成签到,获得积分10
6秒前
小蘑菇应助AABBZZ采纳,获得10
6秒前
嘉心糖应助zmyzhtx采纳,获得20
6秒前
qianmo发布了新的文献求助10
6秒前
翟小七完成签到,获得积分10
7秒前
明理的谷芹完成签到,获得积分10
8秒前
zhuangzhu完成签到,获得积分10
8秒前
8秒前
落红禹03完成签到 ,获得积分10
9秒前
研友_57A445发布了新的文献求助10
9秒前
传统的秋烟完成签到,获得积分10
10秒前
YJH完成签到,获得积分10
10秒前
在水一方应助薛人英采纳,获得10
11秒前
ajie发布了新的文献求助10
11秒前
fliexxi完成签到,获得积分10
11秒前
泡泡儿完成签到 ,获得积分10
11秒前
12秒前
斑比完成签到,获得积分10
12秒前
翟小七发布了新的文献求助20
13秒前
云里完成签到,获得积分10
13秒前
我爱绿色86完成签到,获得积分10
14秒前
15秒前
露卡完成签到,获得积分10
15秒前
单薄惜文发布了新的文献求助10
15秒前
16秒前
77完成签到 ,获得积分10
16秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
Introduction to Spectroscopic Ellipsometry of Thin Film Materials Instrumentation, Data Analysis, and Applications 1200
How Maoism Was Made: Reconstructing China, 1949-1965 800
Medical technology industry in China 600
中国内窥镜润滑剂行业市场占有率及投资前景预测分析报告 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3311586
求助须知:如何正确求助?哪些是违规求助? 2944410
关于积分的说明 8518837
捐赠科研通 2619769
什么是DOI,文献DOI怎么找? 1432582
科研通“疑难数据库(出版商)”最低求助积分说明 664704
邀请新用户注册赠送积分活动 649969