30个省市典型区域的红色预警数值气象数据库

本数据集主要面向气象灾害分析、气候变化影响评估及能源、交通、农业等跨领域韧性策略研究。数据集核心内容为2011年至2023年间，覆盖全国34个省级行政区、3134个县域的数值气象数据。依据中国气象局《气象灾害预警信号发布与传播办法》中明确的红色预警标准，数据集系统辨识并入库了台风、大风、高温、暴雨、霜冻五类极端气象事件。其核心价值在于，首次在全国县域尺度上，将长时间序列的气象观测与法定的红色预警阈值标准相结合，实现了多灾种极端事件的统一识别与结构化归集，为时空分布规律研究和量化风险建模提供了高质量、可复现的数据支撑。数据集主要基于NASA POWER开放数据库提供的全球再分析气象资料产生。研究团队利用高性能计算设备，通过异步爬虫技术高效获取原始数据，并采用Python等工具进行大规模清洗、标准化处理和质量控制。最终，根据前述国家级预警标准中的定量判据，对逐日气象要素进行自动阈值判定，筛选出红色预警事件。数据集主要内容包括两部分：一是记录各县域逐日关键气象要素（如气温、降水量）的数据表，用于大风、高温、暴雨、霜冻事件的识别；二是包含台风路径、强度等详细信息的台风专有数据表。所有数据均以CSV格式组织，按灾种和省份分层存储，便于检索与分析。This dataset is primarily targeted at meteorological disaster analysis, climate change impact assessment, and cross-domain resilience strategy research in sectors such as energy, transportation, and agriculture. The core content of the dataset is numerical meteorological data covering 3,134 county-level administrative regions across 34 provincial-level administrative divisions in China, spanning from 2011 to 2023. Based on the red warning criteria specified in the "Measures for the Issuance and Dissemination of Meteorological Disaster Warning Signals" issued by the China Meteorological Administration (CMA), the dataset has systematically identified and cataloged five types of extreme meteorological events: typhoons, strong winds, high temperatures, heavy rain, and frost. Its core value lies in that, for the first time at the national county-level scale, it combines long-time-series meteorological observations with statutory red warning threshold standards, achieving unified identification and structured aggregation of multi-disaster extreme events, providing high-quality, reproducible data support for research on spatiotemporal distribution patterns and quantitative risk modeling. This dataset is primarily generated using global reanalysis meteorological data provided by the NASA POWER open database. The research team efficiently acquired raw data using asynchronous web crawling technology with high-performance computing equipment, and conducted large-scale cleaning, standardization processing, and quality control using tools such as Python. Ultimately, automatic threshold determination was performed on daily meteorological elements based on the quantitative criteria specified in the aforementioned national-level warning standards, to screen out red warning events. The main content of the dataset consists of two parts: first, data tables recording daily key meteorological elements (such as temperature, precipitation) for each county, which are used to identify strong wind, high temperature, heavy rain, and frost events; second, dedicated typhoon data tables containing detailed information such as typhoon tracks and intensity. All data is organized in CSV format and stored hierarchically by disaster type and province, facilitating retrieval and analysis.

搜集汇总

背景与挑战

背景概述

该数据集覆盖2011年至2023年全国34个省级行政区及3134个县域，基于NASA POWER开放数据库的全球再分析气象资料生成。它依据中国气象局红色预警标准，系统识别并结构化归集了台风、大风、高温、暴雨、霜冻五类极端气象事件的数值气象数据，以CSV格式存储，旨在为气象灾害分析、气候变化评估及跨领域韧性策略研究提供数据支撑。