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

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.

Authors

Institutions

Publication Details

Journal
International Journal of Climatology
Published
2024-08-25
DOI
https://doi.org/10.1002/joc.8605
Citations
3
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.85

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Hui Gao, Tiejun Xie, Ting Ding
3 citations
International Journal of Climatology
Climate variability and models
0.85
article

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

Hui Gao, Tiejun Xie, Ting Ding
article en
3 citations

Abstract

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.

International Journal of ClimatologyVol. 44(13)
China Meteorological Administration (CN), Beijing Meteorological Bureau (CN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 28%
Climate variability and models
0.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.