Distinguish Extreme Precipitation Mechanisms Associated with Atmospheric River and Non-Atmospheric River in the Lower Yangtze River Basin

长江 降水 气候学 环境科学 大气环流 流域 大气科学 地质学 中国 气象学 地理 地图学 考古
作者
Yifei Zhao,Jianping Li,Yang Tian,Jiao Li
出处
期刊:Journal of Climate [American Meteorological Society]
标识
DOI:10.1175/jcli-d-23-0400.1
摘要

Abstract This study investigates the disparity in quantitative moisture contribution and synoptic-scale vertical motion in the lower reaches of the Yangtze River (LYRB) for different extreme precipitation (EP) types, which are categorized as EP associated with atmospheric river (AR&EP) or non-atmospheric river (non-AR&EP). To analyze moisture contribution, a backward tracking using the water accounting model-2layers is performed. In general, the remote moisture contribution is 9.7 times greater than the local contribution, with ocean contribution being 1.67 times stronger than land contribution. However, terrestrial and oceanic contributions obviously increase in the EP types, especially for oceanic contribution being double in magnitude. Notably, the West Pacific (WP) contribution emerges as the dominant differentia between the EP types, playing a crucial role in AR formation. By solving the quasi-geostrophic omega equation, the upper-level jet stream (ULJ) acts as the primary dynamic forcing for transverse vertical motion in AR&EP, while the baroclinic trough exhibits a relatively weaker influence. However, both systems have a nearly equal impact on vertical velocity in non-AR&EP. The enhanced shearwise elevation in the non-AR&EP type is the response of the stronger upper-level ridge over the Tibetan Plateau (TP), which induce enhanced Q-vector divergence pointing towards the LYRB. However, the main dynamic differences is location of ULJ, which serves as the trigger role although weak. Diabatic forcing proves to be the decisive factor for vertical motion development, the difference attributed to the released excessive latent heating with excess moisture contribution from the WP in AR&EP with enhanced precipitation.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
坚强的安柏完成签到 ,获得积分10
1秒前
科研涛完成签到,获得积分20
1秒前
2秒前
鑫渊完成签到,获得积分10
3秒前
fanfanzzz完成签到 ,获得积分10
3秒前
Katsuya完成签到,获得积分10
4秒前
纯真电源完成签到,获得积分20
4秒前
来自三百发布了新的文献求助20
5秒前
繁荣的又夏完成签到,获得积分10
7秒前
Quinna完成签到,获得积分10
7秒前
烟花应助科研涛采纳,获得10
8秒前
zpeng完成签到,获得积分10
8秒前
小宏完成签到,获得积分10
9秒前
123完成签到,获得积分10
10秒前
10秒前
洁净的天德完成签到,获得积分10
11秒前
小朱完成签到,获得积分20
11秒前
流而不逝完成签到,获得积分10
11秒前
栗子完成签到 ,获得积分10
12秒前
平常的青荷完成签到,获得积分10
12秒前
yyy完成签到,获得积分10
13秒前
老阎应助韩林岑采纳,获得30
13秒前
nature完成签到,获得积分10
13秒前
13秒前
玛卡巴卡完成签到,获得积分10
14秒前
xlj完成签到,获得积分10
14秒前
宗师算个瓢啊完成签到 ,获得积分10
15秒前
16秒前
鸡蛋灌饼与掉渣饼完成签到,获得积分10
16秒前
阿尔治完成签到,获得积分10
17秒前
哇wwwww发布了新的文献求助10
17秒前
xn201120完成签到 ,获得积分10
18秒前
碎落星沉完成签到,获得积分10
19秒前
19秒前
Grinder完成签到 ,获得积分10
19秒前
Loststar发布了新的文献求助10
20秒前
小米的稻田完成签到 ,获得积分10
21秒前
小翁完成签到 ,获得积分10
22秒前
喜悦蚂蚁完成签到,获得积分10
22秒前
高兴尔珍完成签到,获得积分10
22秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Immigrant Incorporation in East Asian Democracies 600
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3968593
求助须知:如何正确求助?哪些是违规求助? 3513416
关于积分的说明 11167791
捐赠科研通 3248853
什么是DOI,文献DOI怎么找? 1794507
邀请新用户注册赠送积分活动 875170
科研通“疑难数据库(出版商)”最低求助积分说明 804671