Global Annual PM2.5 Grids from MODIS, MISR, SeaWiFS and VIIRS Aerosol Optical Depth (AOD), 1998-2022, V5.GL.04

The Global Annual PM2.5 Grids from MODIS, MISR, SeaWiFS and VIIRS Aerosol Optical Depth (AOD), 1998-2022, V5.GL.04 consists of annual concentrations (micrograms per cubic meter) of all composition (i.e. total) ground-level fine particulate matter (PM2.5). This data set combines AOD retrievals from multiple satellite algorithms including the NASA MODerate resolution Imaging Spectroradiometer Collection 6.1 (MODIS C6.1), Multi-angle Imaging SpectroRadiometer Version 23 (MISRv23), MODIS Multi-Angle Implementation of Atmospheric Correction Collection 6 (MAIAC C6), the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) Deep Blue Version 4, along with the Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS). The GEOS-Chem chemical transport model is used to initially relate this total column measure of aerosol to near-surface PM2.5 concentration. Geographically Weighted Regression (GWR) is used with global ground-based measurements from the World Health Organization (WHO) database and available regional networks to predict and adjust for the residual PM2.5 bias per grid cell in the initial satellite-derived values. These estimates are primarily intended to aid in large-scale studies. Gridded data sets are provided at a resolution of 0.01 degrees to allow users to agglomerate data as best meets their particular needs. Data sets are gridded at the finest resolution of the information sources that were incorporated, but do not fully resolve PM2.5 gradients at the gridded resolution due to influence by information sources at coarser resolution. The data are distributed as GeoTIFF and netCDF files and are in WGS84 projection.

该全球年度PM2.5网格数据集（MODIS、MISR、SeaWiFS及VIIRS气溶胶光学深度，1998-2022，版本V5.GL.04）包含了所有成分（即总量）的地面细颗粒物（PM2.5）的年浓度（每立方米微克）。本数据集整合了来自多个卫星算法的AOD反演结果，包括美国国家航空航天局（NASA）中分辨率成像光谱辐射计第六版（MODIS C6.1）、多角度成像光谱辐射计第23版（MISRv23）、MODIS多角度大气校正第六版（MAIAC C6）、海洋观测宽视场传感器（SeaWiFS）深蓝第四版，以及苏omi国家极地轨道伙伴关系（Suomi NPP）可见光红外成像辐射仪套件（VIIRS）。GEOS-Chem化学传输模型被用于将气溶胶总柱浓度与近地表PM2.5浓度初步联系起来。地理加权回归（GWR）技术结合世界卫生组织（WHO）数据库的全球地面测量数据和可用区域网络，用于预测和调整初始卫星导出值中每个网格单元的PM2.5残差偏差。这些估算主要用于辅助大规模研究。网格数据集以0.01度的分辨率提供，以使用户能够根据其特定需求聚合数据。数据集以所整合信息源的最细分辨率进行网格化，但由于受较低分辨率信息源的影响，无法完全解析网格分辨率上的PM2.5梯度。数据以GeoTIFF和netCDF文件形式分发，并采用WGS84投影。