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Abstract. Wild fires have a strong negative effect on environment, ecology and public health. However, the continuous degradation of mainstream global fire products leads to large uncertainty on the effective monitoring of wild fires and its influence. To fill this gap, we produced FY-3D global fire products with a similar spatial and temporal resolution, aiming to serve as the continuity and replacement for MODIS fire products. Firstly, the sensor parameters and major algorithms for noise detection and fire identification in FY-3D products were introduced. For accuracy assessment, five typical regions, Africa, South America, Indo-China Peninsula，Siberia and Australia, across the globe were selected. The overall consistence between FY-3D fire products and reference data exceeded 94 %, with a more than 90 % consistence in all regions. Furthermore, the consistence between FY-3D and MODIS fire products was examined. The result suggested that the overall consistence was 84.4 %, with a fluctuation across seasons, surface types and regions. The high accuracy and consistence with MODIS products proved that FY-3D fire product was an ideal tool for global fire monitoring. Specially, since detailed geographical conditions in China were considered, FY-3D products should be preferably employed for fires monitoring in China. FY-3D fire dataset can be downloaded at http://satellite.nsmc.org.cn/portalsite/default.aspx (NSMC, 2021).