Three-Dimensional Biomass Burning Emission Inventory for Southeast and East Asia Based on Multi-Source Data and Machine Learning
收藏资源简介：
This dataset contains a partial release of the biomass burning (BB) emission fields from the Southeast and East Asia Fire (SEAF) emission inventory. The included files provide hourly 3 km resolution 2D and 3D PM₂.₅ emissions for March 2023, derived from cloud-corrected, cross-calibrated Fire Radiative Power (FRP) observations from Himawari-9 AHI and VIIRS. The vertical allocation in the 3D dataset is based on plume height predictions from a Random Forest model trained with MISR plume observations and ERA5 meteorological data. Due to size constraints, only selected files are provided here. For access to the complete dataset, please contact the author at jinyb3@mail2.sysu.edu.cn. Contents 2D_PM2.5_2023_03.nc – Hourly gridded surface PM₂.₅ emissions (g m⁻² s⁻¹) 3D_PM2_5_2023_03.nc – Hourly gridded vertically distributed PM₂.₅ emissions (g m⁻² s⁻¹) Spatial CoverageSoutheast Asia and East Asia (approx. 10°S–50°N, 90°E–150°E) Temporal CoverageMarch 2023 File FormatNetCDF-4 (CF-compliant)
