Global 3-Year Running Mean Ground-Level Nitrogen Dioxide (NO2) Grids from GOME, SCIAMACHY and GOME-2

The Global 3-Year Running Mean Ground-Level Nitrogen Dioxide (NO2) Grids from GOME, SCIAMACHY and GOME-2 represent a series of three-year running mean grids (1996-2012) of ground level NO2 that were derived from Global Ozone Monitoring Experiment (GOME), SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY) and Global Ozone Monitoring Experiment-2 (GOME-2) satellite retrievals. For each satellite-derived NO2 source, the relationship between satellite observations of tropospheric NO2 column densities and the NO2 concentrations at ground level relevant to human exposure is simulated, using the Goddard Earth Observing System chemical transport model (GEOS-Chem) to produce a mean NO2 concentration raster grid. The grid cell resolution is six arc-minutes (0.1 degree, or approximately 10 km at the equator) covering the global land surface.
To provide a continuous surface of NO2 concentrations for health and environmental research.

源自GOME、SCIAMACHY与GOME-2的全球三年滑动平均近地面二氧化氮（NO2）网格数据集，包含1996至2012年的近地面二氧化氮三年滑动平均网格，其数据来源于全球臭氧监测实验（Global Ozone Monitoring Experiment, GOME）、大气制图扫描成像吸收光谱仪（SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY, SCIAMACHY）以及全球臭氧监测实验-2（Global Ozone Monitoring Experiment-2, GOME-2）的卫星反演结果。针对每一个卫星反演的二氧化氮数据源，研究人员借助戈达德地球观测系统化学传输模型（Goddard Earth Observing System chemical transport model, GEOS-Chem），模拟对流层二氧化氮柱浓度的卫星观测值与人体暴露相关的近地面二氧化氮浓度之间的关联，从而生成平均二氧化氮浓度栅格网格。该栅格的网格分辨率为6角分（0.1度，赤道处约合10千米），覆盖全球陆地区域。本数据集旨在为健康与环境研究提供连续的二氧化氮浓度空间分布场。