DOI: 10.57760/sciencedb.28705
title: Seasonal and Annual Average Frequency Dataset for Composite Extreme Events in the Huangshui River Basin, 1960–2022
title: 1960—2022年湟水流域复合极端事件季节、年均频次数据集

description: As the volatility and extremity of global climate change continue to intensify, the frequency, intensity, and disaster risks associated with compound extreme events are escalating, posing severe challenges to regional ecological environments and socio-economic development. To precisely investigate the patterns of change in compound extreme events and their potential impacts, this study focuses on the Huangshui River Basin in the northeastern Qinghai-Tibet Plateau. Utilising daily mean temperature and precipitation observations from eight meteorological stations within the basin between January 1960 and December 2022, the cumulative distribution function method was employed to systematically identify and analyse the spatiotemporal trends and intensity characteristics of four composite extreme event types: warm-wet, warm-dry, cold-wet, and cold-dry.The core content of this dataset comprises seasonal and annual frequency data in TIF format for composite extreme events in the Huangshui River Basin. Characterised by its extensive temporal coverage and strong spatial representativeness, this dataset directly supports in-depth research on composite extreme events in this region. Given the Huangshui River Basin's location at the northeastern edge of the Qinghai-Tibet Plateau, where it serves both as an ecological barrier and exhibits vulnerability, deepening the analysis of composite extreme events in this region not only provides a robust theoretical foundation and data support for establishing future meteorological disaster early warning and response systems. It also holds significant practical guidance for local management authorities in scientifically formulating meteorological disaster response strategies, optimising emergency management processes, and enhancing disaster risk prevention and control capabilities.
description: As the volatility and extremity of global climate change continue to intensify, the frequency, intensity, and disaster risks associated with compound extreme events are escalating, posing severe challenges to regional ecological environments and socio-economic development. To precisely investigate the patterns of change in compound extreme events and their potential impacts, this study focuses on the Huangshui River Basin in the northeastern Qinghai-Tibet Plateau. Utilising daily mean temperature and precipitation observations from eight meteorological stations within the basin between January 1960 and December 2022, the cumulative distribution function method was employed to systematically identify and analyse the spatiotemporal trends and intensity characteristics of four composite extreme event types: warm-wet, warm-dry, cold-wet, and cold-dry.The core content of this dataset comprises seasonal and annual frequency data in TIF format for composite extreme events in the Huangshui River Basin. Characterised by its extensive temporal coverage and strong spatial representativeness, this dataset directly supports in-depth research on composite extreme events in this region. Given the Huangshui River Basin's location at the northeastern edge of the Qinghai-Tibet Plateau, where it serves both as an ecological barrier and exhibits vulnerability, deepening the analysis of composite extreme events in this region not only provides a robust theoretical foundation and data support for establishing future meteorological disaster early warning and response systems. It also holds significant practical guidance for local management authorities in scientifically formulating meteorological disaster response strategies, optimising emergency management processes, and enhancing disaster risk prevention and control capabilities.