用OCO-2 O2 A波段测量约束海岸尘埃气溶胶的垂直分布
Constraining the vertical distribution of coastal dust aerosol using OCO-2 O2 A-band measurements
摘要：
定量大气气溶胶的垂直分布对于评估其对地球能量收支和气候的影响、改善城市空气污染预测以及减少从空间反演温室气体（GHG）的偏差至关重要。然而，迄今为止，被动遥感测量提供的关于气溶胶消光剖面的信息有限。在这项研究中，我们提出了使用光谱排序的方法来约束气溶胶的垂直结构，使用反射的阳光吸收光谱内的分子氧（O2）的A波段收集的轨道碳观测站-2（OCO-2）。该方法的有效性进行了评估，使用光谱在西撒哈拉海岸通过比较气溶胶剖面反演与激光雷达测量的云气溶胶激光雷达和红外探路者卫星观测（CALIPSO）云气溶胶激光雷达与正交偏振（CALIOP）。利用辐射传输模式模拟OCO-2测量，我们发现，高分辨率的O2 A波段测量气溶胶光学深度（AOD）和气溶胶层高度（ALH）有很高的灵敏度。检索估计的AOD和ALH的基础上的查找表技术表现出良好的协议与CALIPSO测量，相关系数分别为0.65和0.53。所提出的光谱分选技术的优势在于它能够识别光谱通道与高灵敏度的AOD和ALH和提取相关的信息，从观测到的辐射在一个简单的方式。所提出的方法有可能使未来的被动遥感任务在全球范围内绘制气溶胶垂直分布。
英文摘要：
Quantifying the vertical distribution of atmospheric aerosols is crucial for estimating their impact on the Earth energy budget and climate, improving forecast of air pollution in cities, and reducing biases in the retrieval of greenhouse gases (GHGs) from space. However, to date, passive remote sensing measurements have provided limited information about aerosol extinction profiles. In this study, we propose the use of a spectral sorting approach to constrain the aerosol vertical structure using spectra of reflected sunlight absorption within the molecular oxygen (O2) A-band collected by the Orbiting Carbon Observatory-2 (OCO-2). The effectiveness of the approach is evaluated using spectra acquired over the western Sahara coast by comparing the aerosol profile retrievals with lidar measurements from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP). Using a radiative transfer model to simulate OCO-2 measurements, we found that high-resolution O2 A-band measurements have high sensitivity to aerosol optical depth (AOD) and aerosol layer height (ALH). Retrieved estimates of AOD and ALH based on a look up table technique show good agreement with CALIPSO measurements, with correlation coefficients of 0.65 and 0.53, respectively. The strength of the proposed spectral sorting technique lies in its ability to identify spectral channels with high sensitivity to AOD and ALH and extract the associated information from the observed radiance in a straightforward manner. The proposed approach has the potential to enable future passive remote sensing missions to map the aerosol vertical distribution on a global scale.
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