Interannual Variation of Summer Compound Hot and Drought Events in Xinjiang and Its Relationship with the North Atlantic Sea Surface Temperature

气候学 变化(天文学) 海面温度 环境科学 季节性 地质学 数学 天体物理学 统计 物理
作者
Xiaolu Zhang,Jiapeng Miao,Xiaoxin Wang,Botao Zhou
出处
期刊:Journal of Climate [American Meteorological Society]
卷期号:37 (18): 4949-4960 被引量:7
标识
DOI:10.1175/jcli-d-24-0086.1
摘要

Abstract Xinjiang suffers compound hot and drought events under global warming. However, less attention has been paid to physical mechanisms of the variability of compound hot and drought events in this region. This article investigates the interannual variation of summer (June–August) compound hot and drought events in Xinjiang and its relationship with the sea surface temperature (SST) over the North Atlantic. The results show that its first empirical orthogonal function (EOF) mode features a spatially homogenous pattern. This mode is closely connected with the simultaneous meridional negative–positive–negative SST anomalies over the North Atlantic. The summer North Atlantic tripole SST anomalies can trigger a remarkable wave train extending from the North Atlantic to Eurasia, consequently inducing an anomalous high pressure system over the Iran–Pamir Plateau, which is conducive to the increase in air temperature from the surface to the upper troposphere over Xinjiang. The warmer troposphere further strengthens the western Asian subtropical meridional temperature gradient and thereby enhances the westerly wind to the north flank of the West Asian subtropical westerly jet (WASWJ). As a result, the WASWJ is displaced northward, which intensifies the sinking motion and prevents the water vapor transport to Xinjiang, leading to a decrease in precipitation in the target region. The higher temperature and less precipitation contribute to the occurrence of compound hot and drought events over Xinjiang. Numerical simulations based on the Community Atmosphere Model, version 4 (CAM4), further confirm the relationship between the North Atlantic tripole SST anomalies and compound hot and drought events in Xinjiang during summer on the interannual time scale. Significance Statement Xinjiang, located in northwest China, suffers from frequent and intense compound hot and drought events in recent decades. It is thus urgent to understand the physical mechanisms associated with its occurrence in order for disaster prevention and mitigation. In this study, we reveal that the leading mode of summer compound hot and drought events over Xinjiang, featuring a spatially homogenous pattern, is closely correlated with the simultaneous meridional negative–positive–negative SST anomalies over the North Atlantic. The North Atlantic tripole SST anomalies can lead to an anomalous high pressure system over the Iran–Pamir Plateau and a northward shift of the West Asian subtropical westerly jet through exciting a wave train propagating from the North Atlantic to Eurasia, which consequently contributes to the occurrence of compound hot and drought events over Xinjiang.
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
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
任性铅笔完成签到 ,获得积分10
1秒前
大胆的自行车完成签到 ,获得积分10
3秒前
Cole完成签到 ,获得积分10
6秒前
xiaoguang li完成签到,获得积分10
8秒前
酷波er应助感动的凡桃采纳,获得30
10秒前
亮总完成签到 ,获得积分10
12秒前
HHYYAA完成签到 ,获得积分10
13秒前
尤小玉完成签到,获得积分10
21秒前
CJW完成签到 ,获得积分10
22秒前
baitaowl完成签到 ,获得积分10
27秒前
fjhsg25完成签到,获得积分20
31秒前
qinxiang完成签到,获得积分10
32秒前
Language完成签到,获得积分10
32秒前
radom完成签到 ,获得积分10
33秒前
不想吃大蒜完成签到 ,获得积分10
33秒前
感动的凡桃完成签到,获得积分20
34秒前
35秒前
meimei完成签到 ,获得积分10
37秒前
领导范儿应助科研通管家采纳,获得10
38秒前
科研通AI2S应助科研通管家采纳,获得10
38秒前
毛豆爸爸应助科研通管家采纳,获得20
39秒前
Ava应助科研通管家采纳,获得30
39秒前
39秒前
Novice6354完成签到 ,获得积分10
40秒前
41秒前
殷勤的紫槐应助疯狂的绿蝶采纳,获得200
42秒前
marc107完成签到,获得积分10
43秒前
猪猪hero应助leilei采纳,获得10
44秒前
jiuzhege完成签到 ,获得积分10
45秒前
懿璎完成签到,获得积分10
46秒前
jzmupyj完成签到,获得积分10
50秒前
饭胖胖完成签到 ,获得积分10
51秒前
52秒前
香锅不要辣完成签到 ,获得积分10
55秒前
Elytra发布了新的文献求助10
59秒前
jzmulyl完成签到,获得积分10
1分钟前
蛋糕完成签到,获得积分20
1分钟前
加减乘除完成签到 ,获得积分10
1分钟前
大力的灵雁应助adeno采纳,获得10
1分钟前
听寒完成签到,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Adverse weather effects on bus ridership 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6350684
求助须知:如何正确求助?哪些是违规求助? 8165311
关于积分的说明 17182124
捐赠科研通 5406866
什么是DOI,文献DOI怎么找? 2862727
邀请新用户注册赠送积分活动 1840310
关于科研通互助平台的介绍 1689463