Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China; Collaborative Innovation Center for West Ecological Safety (CIWES), Lanzhou University, Lanzhou 730000, China.
Sci Total Environ. 2020 Jun 15;721:137699. doi: 10.1016/j.scitotenv.2020.137699. Epub 2020 Mar 5.
Passive remote sensing has been widely used in recent decades to obtain global particulate matter (PM) mass concentration at daytime and under cloud-free condition. In this study, a retrieval method was developed for providing PM (PM and PM) mass concentration both at daytime and nighttime using the latest data version (V4.10) from space-borne Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) lidar measurements. The advantage of the method is that PM & PM mass concentrations were obtained for seven aerosol types respectively base on active remote sensing observation at daytime and nighttime, even under cloudy condition. The results show that satellite-based PM mass concentrations are in good agreement with in-situ observations from 1602 ground monitoring sites throughout the world. Moreover, global distributions of PM and PM mass concentration during 2007-2016 were investigated, showing that for Beijing the annual mean PM mass concentration at nighttime is 11.31% less than those at daytime, however for London is 36.62%. It is suggested that diurnal variations in PM mass concentration are closely related to human activities. This work provides a reliable high-resolution database for long-term particulate mass concentrations on the global scale, which is of importance to evaluate aerosol impacts on climate, environment as well as ecosystem.
被动遥感技术在近几十年得到了广泛应用，用于获取全球白天无云条件下的颗粒物（PM）质量浓度。本研究利用星载云气溶胶激光雷达和红外探测卫星观测（CALIPSO）激光雷达最新数据版本（V4.10），开发了一种白天和夜间同时获取 PM（PM 和 PM）质量浓度的反演方法。该方法的优点是，即使在云层条件下，也可以基于白天和夜间的主动遥感观测，分别获得七种气溶胶类型的 PM 和 PM 质量浓度。结果表明，基于卫星的 PM 质量浓度与全球 1602 个地面监测站的实地观测结果吻合良好。此外，还研究了 2007-2016 年期间全球 PM 和 PM 质量浓度的分布情况，结果表明，对于北京，夜间的 PM 质量浓度平均比白天低 11.31%，而对于伦敦则低 36.62%。这表明 PM 质量浓度的日变化与人类活动密切相关。这项工作为全球范围内长期颗粒物质量浓度提供了可靠的高分辨率数据库，对于评估气溶胶对气候、环境和生态系统的影响具有重要意义。
