环境科学
索引(排版)
含水量
水分
事件(粒子物理)
气候学
预警系统
前期水分
构造盆地
强度(物理)
可预测性
前因(行为心理学)
气候变化
水文学(农业)
大气科学
震级(天文学)
气象学
作者
Rukhshinda Aftab,Guojie Wang,Daniel Fiifi Tawia Hagan,Baoying Shan,Fareeha Siddique,Chensi Zhou,Emmanuel Yeboah,Pedro Cabral
摘要
ABSTRACT Compound dry–hot extremes are increasing globally, yet existing indices often overlook the critical role of soil moisture in regulating moisture surplus or deficit. This study proposes the Standardised Soil Moisture Temperature Compound Index (SSTCI), a globally applicable, daily‐scale index derived from the joint probability of the Standardised Antecedent Soil Moisture Index (SASMI) and Standardised Temperature Index (STI). To improve event classification, SSTCI incorporates an objective removal and merging procedure that filters minor spells and consolidates temporally dependent events. As a case study, we apply SSTCI to the Poyang Lake Basin (1961–2020), where it performs better than existing indices in detecting CDHEs, validated by recorded events. Spatiotemporal analyses show a significant rise in event frequency and intensity over recent decades. By integrating soil moisture dynamics and operating at a sub‐monthly scale, SSTCI enhances the accuracy of CDHE monitoring, offering a robust tool for early warning and risk assessment.
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