全球海域热带气旋灾害空间风险评估数据集

热带气旋作为最具破坏性的自然灾害之一，在全球范围内造成严重的灾害损失，科学评估全球海域热带气旋灾害空间风险分布特征，对实现全球灾害风险的有效管理、促进沿海城市经济发展具有重要意义。该数据集是基于美国国家海洋大气局发布的热带气旋最佳路径数据，运用ArcGIS和大数据分析方法，并结合热带气旋灾害生命周期、移动轨迹等属性特性，建立了全球海域热带气旋灾害空间风险评估数据集。数据集包含了1950-2023年以来全球海域热带气旋灾害影响程度的空间分布信息；其中，地理区域范围涉及全球海域，空间分辨率为20km，时间尺度为1950-2023年，数据格式为TIFF格式。通过与中国气象局提供的热带气旋最佳路径数据进行对比验证，本数据集具有较高的准确性和一致性，可用于全球范围内的热带气旋灾害风险评估、城市防灾减灾规划，也可为气象与灾害研究、政策制定、沿海经济发展等领域提供数据支撑。

Tropical cyclones (TCs) are among the most destructive natural hazards, causing severe disaster losses worldwide. Scientifically assessing the spatial risk distribution characteristics of tropical cyclone disasters over global oceans is of great significance for effective global disaster risk management and the economic development of coastal cities.

This dataset is established as a spatial risk assessment dataset for tropical cyclone disasters over global oceans, based on the tropical cyclone best-track data released by the U.S. National Oceanic and Atmospheric Administration (NOAA), using ArcGIS and big data analysis methods, and incorporating attribute characteristics such as the disaster lifecycle and movement tracks of tropical cyclones.

The dataset contains spatial distribution information on the impact intensity of tropical cyclone disasters over global oceans from 1950 to 2023. Its geographic coverage spans all global oceans, with a spatial resolution of 20 km, a temporal scope of 1950–2023, and a data format of TIFF.

Through comparative validation against the tropical cyclone best-track data provided by the China Meteorological Administration (CMA), this dataset exhibits high accuracy and consistency. It can be utilized for global tropical cyclone disaster risk assessment and urban disaster prevention and mitigation planning, and also provides data support for fields including meteorological and disaster research, policy formulation, and coastal economic development.

搜集汇总

背景与挑战

背景概述

该数据集提供了1950年至2023年全球海域热带气旋灾害的空间风险评估，基于美国国家海洋大气局的最佳路径数据，采用核密度分析和ArcGIS方法生成，空间分辨率为20公里，数据格式为TIFF。它通过科学验证确保了高准确性，适用于气候变化研究、沿海城市防灾规划、可再生能源选址和航运线路优化等领域，为全球灾害风险管理和政策制定提供关键数据支撑。