Mechanisms of Tropical Intraseasonal Oscillations Modulating Humid Heat Waves in the Asian Monsoon Region

气候学 季风 马登-朱利安振荡 热带气旋 环境科学 东亚季风 南亚 大气科学 地质学 地理 气象学 对流 历史 民族学
作者
Yiwan Huang,Pang‐Chi Hsu,Jiacan Yuan,Wei Zhang,Lei Lei,Jinhui Xie
出处
期刊:Journal of Climate [American Meteorological Society]
卷期号:38 (15): 3921-3936 被引量:1
标识
DOI:10.1175/jcli-d-24-0606.1
摘要

Abstract Humid heat waves—extended periods of high temperatures and humidity—pose significant risks to human health and ecosystems. While long-term changes have been examined, their subseasonal variations and mechanisms in the Asian monsoon region remain less well understood. Spectral analysis of daily wet-bulb temperature (Tw) data from June to August (1979–2021) reveals significant 10–30-day variability across South, Southeast, and East Asia, suggesting modulation by the quasi-biweekly oscillation (QBWO). The occurrence and intensity of humid heat waves, defined as Tw exceeding the 90th percentile for at least 3 days, fluctuate with the QBWO life cycle, with regionally distinct mechanisms. For central India, the humid heat wave probability nearly doubles during phase 2 of the real-time boreal summer intraseasonal oscillation (BSISO2) index, driven by a 10–30-day anticyclonic anomaly over the northern Bay of Bengal and India, promoting moisture advection from the Bay of Bengal toward India and enhanced shortwave radiation due to locally reduced cloud cover. In northern Indochina, phase 3 leads to an 81% increase in humid heat wave occurrence through suppressed convection-induced diabatic (evaporative) and adiabatic (warming) processes at the boundary layer. In southern China, phase 5 enhances the heat wave probability by 54%, with a southwesterly anomaly producing moisture convergence and warm advection. Operational subseasonal to seasonal prediction models from the ECMWF and NCEP skillfully predict humid heat waves up to 3–6 pentads in advance, with ECMWF outperforming NCEP, although both face challenges in accurately capturing moisture anomalies. These findings on the physical processes driving humid heat wave occurrence provide insights for improving model predictions.
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