2011年美国西部顾及逆温潜能的日尺度1公里PM2.5地图

本数据集提供了2003年至2020年间美国西部地区日尺度的、1公里分辨率的地表细颗粒物（PM2.5）浓度网格图。该数据产品通过一种创新的方法生成，不仅结合了卫星遥感气溶胶数据（MODIS AOD）和气象数据，还特别考虑了逆温强度和静态烟雾潜能这两个关键因素，以更准确地捕捉山区谷地等地形中因空气滞留而导致的高污染事件。
核心价值：
高时空分辨率：提供了长期、连续且空间细节丰富的PM2.5数据，尤其适用于美国西部山区等地面监测站点稀疏的区域。
创新性：首次在如此大的范围和长时间序列中，将逆温潜能作为预测因子纳入模型，显著改善了冬季等地形性污染事件的模拟精度。
广泛应用：该数据集可用于探究PM2.5暴露对健康的影响、分析逆温和局部地形对空气质量的作用，以及研究野火等特定事件的空间污染模式。

This dataset provides daily, 1-kilometer resolution gridded surface fine particulate matter (PM2.5) concentration data for the western United States from 2003 to 2020. It is generated using an innovative methodology that integrates satellite remote sensing aerosol data (MODIS AOD) and meteorological data, while specifically accounting for two critical factors: inversion intensity and static smoke potential, to more accurately capture high-pollution events caused by air stagnation in terrains such as mountain valleys.

Key Values:
High spatiotemporal resolution: Provides long-term, continuous, spatially detailed PM2.5 data, which is particularly suitable for regions with sparse ground monitoring stations such as the mountainous areas of the western United States.
Innovation: For the first time at such a large spatial scale and over such a long time series, inversion potential is incorporated as a predictive factor into the model, significantly improving the simulation accuracy of topographic pollution events such as those occurring in winter.
Broad applications: This dataset can be used to explore the health impacts of PM2.5 exposure, analyze the effects of temperature inversions and local terrain on air quality, and study the spatial pollution patterns of specific events such as wildfires.