首页> 外文会议>Remote Sensing of Aerosol and Chemical Gases, Model Simulation/Assimilation, and Applications to Air Quality >Application of Satellite Data for Three-dimensional Monitoring of PM_(2.5) Formation and Transport in San Joaquin Valley, California
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Application of Satellite Data for Three-dimensional Monitoring of PM_(2.5) Formation and Transport in San Joaquin Valley, California

机译:卫星数据在加利福尼亚圣华金河谷三维监测PM_(2.5)形成和迁移方面的应用

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摘要

High resolution (5x5 km~2 horizontal resolution) retrievals of aerosol optical depth (AOD) from the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments aboard NASA's Aqua and Terra satellite platforms have been examined. These data products have been compared to coincident, hourly measurements of ground-based PM_(2.5) routinely obtained by the San Joaquin Valley Air Pollution Control District (SJV APCD) and California Air Resources Board (CARB) and to airborne light detection and ranging (lidar) aerosol scattering measurements obtained by NASA in July 2003 in San Joaquin Valley (SJV). Comparison of MODIS AOD to ground based PM_(2.5) measurement shows significant improvement for the higher resolution MODIS AOD. Lidar aerosol scattering measurements correspond well to MODIS AOD during a variety of atmospheric conditions, and throughout the SJV. Future lidar measurements are proposed to establish a high resolution vertical link between satellite and ground-based measurements during the winter. With the data from these two episodes, we plan to characterize the horizontal, vertical, and temporal distribution of PM_(2.5) in SJV and evaluate the need for future intensive ground-based measurement and modeling studies in SJV.
机译:已经研究了从NASA Aqua和Terra卫星平台上的中等分辨率成像光谱仪(MODIS)仪器对气溶胶光学深度(AOD)进行高分辨率(5x5 km〜2水平分辨率)检索的过程。这些数据产品已与圣华金山谷空气污染控制区(SJV APCD)和加利福尼亚州空气资源委员会(CARB)常规获得的地面PM_(2.5)的每小时每小时一致测量值进行了比较,并与机载光检测和测距(美国国家航空航天局(NASA)于2003年7月在圣华金河谷(SJV)获得的激光雷达散射)。 MODIS AOD与基于地面的PM_(2.5)测量值的比较表明,对于分辨率更高的MODIS AOD,其显着改进。激光雷达的气溶胶散射测量值在各种大气条件下以及整个SJV中都非常符合MODIS AOD。提出了未来的激光雷达测量,以在冬季在卫星和地面测量之间建立高分辨率垂直链接。利用这两个情节的数据,我们计划表征SJV中PM_(2.5)的水平,垂直和时间分布,并评估未来在SJV中进行深入的地面测量和建模研究的需求。

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