Spatial distribution dataset of grassland fire susceptibility in Qinghai Province based on CMIP6

This dataset is based on CMIP6 climate model data and historical grassland fire samples, constructed using multiple regression prediction models and maximum entropy models (MaxEnt), aiming to evaluate the spatial distribution characteristics of grassland fire susceptibility in Qinghai Province under different climate scenarios (SSP119, SSP245, SSP585) and different periods (short-term: 2025-2049, medium-term: 2050-2074, long-term: 2075-2100). Climate variable data includes temperature, precipitation, and wind speed, which are downscaled to a resolution of 1km × 1km using bias correction and bilinear interpolation methods. The fire susceptibility is constructed using a maximum entropy model, and the model input variables also include NDVI, human footprint, slope, etc DEM、 Factors such as relative humidity and distance from residential areas, roads, and rivers. The data output format is GeoTIFF (. tif), where each. tif file represents the spatial probability distribution of fire susceptibility in a certain scenario and period, with a numerical range of 0-1.