Dataset of heatwave exposure caused by UHI

We constructed a dataset to assess the exposure of urban human settlements to heat waves caused by urban heat islands worldwide from 2003 to 2020. This dataset uses an adaptive urban-rural threshold method to determine the impact range of urban heat islands, and uses the spatially and temporally fitted MODIS surface temperature dataset to solve the problem of data loss caused by cloud pollution, achieving quantification of heat wave exposure in global urban human settlements caused by urban heat islands at a resolution of 1km. We provide relevant heat wave exposure data in the form of quantitative datasets, which can clearly deconstruct the contributions of background climate, local landscape, and urbanization effects to heat wave exposure. This provides a scientific basis for clarifying key mitigation areas of urban heat islands and developing heat wave risk warning models that consider the impact of urban heat islands. Our method and dataset provide support for collaborative decision-making on urban climate adaptation and sustainable development, and its technical framework can be extended to research on urban heat islands and heat wave exposure in other regions around the world