2026-10-13T22:12:48Z https://www.scidb.cn/oai

10.57760/sciencedb.j00001.01925 2026-08-20T09:13:46Z

2026-08-20 A dataset of apparent temperature and human comfort index at 1-km resolution over the Beijing area(2023-2025) doi:10.57760/sciencedb.j00001.01925 en Using the optimal comfortable temperature determined by the Golden Section Method, together with daily values of air temperature, wind speed, humidity, and precipitation from ground meteorological stations in the Beijing–Tianjin–Hebei region during 2023–2025, station-level apparent temperature were calculated. Then, employing the regression Kriging method based on random forest prediction (RF‑Kriging) in combination with DEM data of Beijing, a 1‑km daily gridded dataset of apparent temperature and human comfort index for the Beijing region was produced. The dataset comprises daily apparent temperature and human comfort index at 1-km resolution over the Beijing region(2023-2025). This includes a total of 1096 TIF files, each TIF file comprises three bands, where Alti is the elevation band, Tg is the apparent temperature band, and HCI is the human comfort index band. Apparent temperature; Human comfort index; RF‑Kriging method; Beijing region lu li Shen Lingling Zhang Xiaoling Chen Jing Song Jingjing Xiong Yajun PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank