Evaluation of Aqua MODIS Collection 6 AOD Parameters for Air Quality Research over the Continental United States
Evaluation of Aqua MODIS Collection 6 AOD Parameters for Air Quality Research over the Continental United States
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DOI：
10.3390/rs8100815
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发表时间：
2016-10-01
期刊：
影响因子：
5
通讯作者：
Liu, Yang
中科院分区：
文献类型：
--
作者：
Belle, J. H.;Liu, Yang
卫星反演的气溶胶光学厚度（AOD）已成为地面颗粒物（PM）的重要预测因子，并极大地增强了全球空气污染研究的能力。我们评估了AOD参数包括在收集6气溶胶产品的中分辨率成像光谱仪（MODIS）的两个关键因素影响其应用在空气质量研究的覆盖范围和准确性，在美国大陆。对于高置信度反演（QAC 3），10 km DB-DT组合AOD在全国范围内具有最佳覆盖率（在任何给定的12 km网格单元中，一年中有29.7%的天数）。虽然美国东部通常有更成功的AOD检索，最高的空间覆盖率的AOD参数被发现在加州（>55%）和其他植被的美国西部地区。如果包括较低的QAC检索，10公里DB AOD的覆盖率急剧增加到49.6%。在美国东部，QAC 3反演的所有四个AOD参数与AERONET观测高度相关（相关系数在0.80和0.92之间）。在美国西部，正反演误差存在于所有的MODIS AOD参数，导致较低的相关性与AERONET。AOD反演误差表现出显着的依赖于飞行的几何形状，土地覆盖类型和天气条件。为确保适当使用这些气溶胶光学厚度值，空气质量研究人员应仔细平衡覆盖范围和准确性的需求，并根据其研究设计制定额外的数据筛选标准。
Satellite-retrieved aerosol optical depth (AOD) has become an important predictor of ground-level particulate matter (PM) and greatly empowered air pollution research worldwide. We evaluated the AOD parameters included in the Collection 6 aerosol product of the Moderate Resolution Imaging Spectroradiometer (MODIS) for two key factors affecting their applications in air quality research-coverage and accuracy-over the continental US. For the high confidence retrievals (QAC 3), the 10 km DB-DT combined AOD has the best coverage nationwide (29.7% of the days in a year in any given 12 km grid cell). While the Eastern US generally had more successful AOD retrievals, the highest spatial coverage of AOD parameters were found in California (>55%) and other vegetated parts of the Western US. If lower QAC retrievals were included, the coverage of the 10 km DB AOD was dramatically increased to 49.6%. In the Eastern US, the QAC 3 retrievals of all four AOD parameters are highly correlated with AERONET observations (correlation coefficients between 0.80 and 0.92). In the Western US, positive retrieval errors existed in all MODIS AOD parameters, resulting in lower correlations with AERONET. AOD retrieval errors showed significant dependence on flight geometry, land cover type, and weather conditions. To ensure appropriate use of these AOD values, air quality researchers should carefully balance the needs for coverage and accuracy, and develop additional data screening criteria based on their study design.