Jiawei Hao

Dr. Jiawei Hao


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 July 2026 in Atmosphere
Verified
Journal Article
Open access
PDF file
JHJiawei Hao
Jiawei Hao
Er LuEr Lu
Er Lu
DYDian Yuan
Dian Yuan
JTJuqing Tu
Juqing Tu
ZLZhuoyuan Li
Zhuoyuan Li
HLHao Long
Hao Long
Seasonal prediction of summer rainfall over the middle and lower reaches of the Yangtze River Basin (MLYRB) remains challenging because the linkage between preceding climate signals and regional precipitation anomalies involves complex dynamic and thermodynamic processes. This study examines March precipitation over the eastern Mediterranean–West Asia region, hereafter referred to as PE, as an upstream spring signal associated with July rainfall anomalies over the MLYRB. The central objective is to determine, through a relative humidity decomposition framework, whether the humidification accompanying PE-related July rainfall anomalies is dominated by moisture changes or by temperature-related saturation effects. The results indicate that high-PE years are associated with a significant increase in July rainfall over the MLYRB. This rainfall enhancement is accompanied by anomalous circulation patterns favourable for moisture transport and convergence over eastern China. Meanwhile, positive relative humidity anomalies extend from the lower to the upper troposphere, with the 400 and 300 hPa levels showing a particularly close spatial correspondence with the significant rainfall anomalies over the rainfall region. Although absolute water vapour content decreases with height, the coherent upper-tropospheric relative humidity response indicates the presence of a deep moist layer, which is favourable for sustained condensation, reduced dry-air entrainment, and persistent monsoon rainfall. A further moisture–temperature decomposition shows that the PE-related relative humidity response is jointly controlled by changes in atmospheric moisture content and saturation vapour pressure. Over the MLYRB, the increase in relative humidity is primarily associated with enhanced moisture content, whereas temperature-induced changes in saturation conditions are more evident in regions with more coherent temperature anomalies. These findings suggest that the PE-related July rainfall anomaly is supported by a combination of dynamic moisture supply and thermodynamic humidification of the atmospheric column. The study provides a physically consistent explanation for the potential precursor relevance of the PE signal and emphasizes the importance of vertical humidity structure in understanding and predicting summer rainfall anomalies over eastern China.

19 October 2026 in Meteorology
Verified
Journal Article
Open access
PDF file
JTJuqing Tu
Juqing Tu
JHJiawei Hao
Jiawei Hao
DYDian Yuan
Dian Yuan
FHFeng Hu
Feng Hu
YZYali Zhang
Yali Zhang
As an important grain-producing region of China, Anhui Province suffered its most severe drought in 70 years in 1978, particularly in summer. During the drought, the west–northward shifted western Pacific subtropical high (WPSH) induced local high temperatures, while a weakened monsoon suppressed south-to-north moisture transport into the region. These two factors jointly triggered the extreme drought. This study aims to quantitatively examine the respective contributions of water vapor and air temperature anomalies to the drought. Based on the tight relationship between precipitation and relative humidity as well as the definition expression of relative humidity, two measures are constructed to separate moisture and temperature effects, with three supplementary indicators for assessing their relative importance. The results show that water vapor anomalies dominate this drought, contributing approximately 73% of the total effect, while temperature anomalies account for 27%. At the condensation levels, the contribution of less-than-normal water vapor to the drought is roughly 4.6 times that of warmer-than-normal temperature. Distinguishing the dominance of moisture and air temperature in the drought and quantifying their respective contribution fractions provides physical support for drought classification and prediction.