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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Retrieval of aerosol size distribution from multi-angle polarized measurements assisted by intensity measurements over East China
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Retrieval of aerosol size distribution from multi-angle polarized measurements assisted by intensity measurements over East China

机译:通过华东地区多角度极化测量和强度测量辅助的气溶胶粒径分布反演

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摘要

Integrating multi-angle, multi-spectral, and polarized measurements can improve the accuracy of retrieved aerosol microphysical properties, such as aerosol size distribution and complex refractive index. Using polarized measurements assisted by intensity measurements, a new algorithm to retrieve aerosol size distribution is developed. Constrained by fine-mode aerosol optical depth (AOD) extracted from polarization and anisotropy of reflectances for atmospheric science coupled with observations from a LIDAR (PARASOL) intensity measurements, aerosol size distribution is retrieved from multi-angle polarized measurements of PARASOL. The retrieved results of our algorithm are compared with ground-based measurements from Beijing, Xianghe, and Hong Kong Polytechnic University (PolyU) sites in the PHOtométrie pour le Traitement Opérational de Normalisation Satellitaire (PHOTONS) network included in the worldwide Aerosol Robotic Network (AERONET), and the correlation coefficient of AOD is greater than 0.7, whereas the modal radii is greater than AERONET/PHOTONS. The discussions of complex refractive index, fixed surface reflectance in the blue, fixed parameters for the coarse-mode size distribution, and restricted range for fine/coarse fraction show the potential for algorithm improvement in the future.
机译:集成多角度,多光谱和偏振测量值可以提高所获得的气溶胶微物理特性(如气溶胶尺寸分布和复折射率)的准确性。利用偏振测量和强度测量,开发了一种新的算法来检索气溶胶尺寸分布。受用于大气科学的从偏振和反射率各向异性中提取的精细模式气溶胶光学深度(AOD)以及来自LIDAR(PARASOL)强度测量的观测值的约束,可以从PARASOL的多角度偏振测量中获取气溶胶尺寸分布。将我们算法的检索结果与北京,香河和香港理工大学(PolyU)的地面测量结果进行了比较,该站点位于全球气溶胶机器人网络(AERONET)中的PHOtométriepour le Traitement标准化机器人(PHOTONS)网络),并且AOD的相关系数大于0.7,而模态半径大于AERONET / PHOTONS。复数折射率,蓝色的固定表面反射率,粗模式尺寸分布的固定参数以及细/粗分数的受限范围的讨论显示了将来算法改进的潜力。

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