Obvious difference of dominant circulation patterns between dry‐type and humid‐type heatwaves in North China

气候学 中国 环境科学 循环(流体动力学) 地理 地质学 物理 考古 热力学
作者
Ting Ding,Hui Gao,Tiejun Xie
出处
期刊:International Journal of Climatology [Wiley]
卷期号:44 (13): 4710-4724 被引量:3
标识
DOI:10.1002/joc.8605
摘要

Abstract Based on the observed maximum temperature ( T max ), relative humidity (RH) and NCEP/NCAR reanalysis data during 1981–2021, basic temporal features and dominant atmospheric circulation patterns of dry‐type and humid‐type heatwaves in North China are investigated and compared. Statistical results indicate the dry heatwaves occur mainly in early summer (from early June to early July), that is, before the rainy season of North China, while the humid heatwaves have a high frequency in mid‐July to mid‐August. During the research period, the increasing trend of dry heatwaves is 0.67 days·decade −1 , while the humid heatwaves increase at a greatly higher rate of 1.85 days·decade −1 . For the dry heatwave, a high ridge in the subtropical westerlies plays the main role, and the northerly wind in the east of the ridge reduces the air moisture convergence over the region. However, for the humid heatwave, the westward and northward propagations of the western Pacific subtropical high (WPSH) may make the major contribution, and the southerly wind anomalies in the west of the WPSH enlarge the water vapour to the region. The adiabatic heating in subsiding air at all levels and horizontal temperature advection at lower troposphere are stronger for dry heatwaves than for humid heatwaves, which cause a higher T max for the former type. These results highlight the diversity of the heatwaves in North China, which suggests that multiple local and large‐scale subseasonal circulations should be considered to improve the subseasonal to seasonal forecast skills for heat extremes.
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
田様应助entgegen采纳,获得10
刚刚
冷艳的白凡完成签到,获得积分10
1秒前
wangxuezhibuct完成签到 ,获得积分10
1秒前
星辰大海应助雪梨酱采纳,获得10
2秒前
123关注了科研通微信公众号
2秒前
2秒前
奶油生菜完成签到,获得积分10
3秒前
3秒前
云城完成签到,获得积分10
4秒前
小兔完成签到,获得积分10
4秒前
CodeCraft应助6789采纳,获得10
5秒前
酷波er应助ikun采纳,获得10
5秒前
coldfish完成签到,获得积分10
6秒前
向北游完成签到,获得积分10
6秒前
7秒前
7秒前
8秒前
洁净的寻菱完成签到 ,获得积分10
9秒前
英俊的铭应助Baylin采纳,获得10
9秒前
10秒前
煎饼果子发布了新的文献求助10
10秒前
Rudan完成签到,获得积分10
11秒前
ZB完成签到,获得积分10
11秒前
深情安青应助青梅煮酒采纳,获得10
11秒前
达不溜发布了新的文献求助10
12秒前
13秒前
hui完成签到,获得积分10
14秒前
啦啦啦发布了新的文献求助10
15秒前
lu应助pick采纳,获得10
16秒前
18秒前
18秒前
18秒前
syy应助Blackmamba采纳,获得30
20秒前
20秒前
20秒前
达不溜完成签到,获得积分10
21秒前
21秒前
天天快乐应助viauue9采纳,获得10
22秒前
shorting发布了新的文献求助20
22秒前
CLW发布了新的文献求助10
22秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7576346
求助须知:如何正确求助?哪些是违规求助? 9155933
关于积分的说明 19587431
捐赠科研通 7160381
什么是DOI,文献DOI怎么找? 3264993
关于科研通互助平台的介绍 2430152
邀请新用户注册赠送积分活动 2255622