气溶胶光学厚度(AOD)、一次散射反射比(ω_0)、粒子谱分布和散射相函数是表征气溶胶光学微物理特征的重要参数。利用CE318太阳光度计的直接测量数据与平纬圈测量数据基于Skyrad.pack算法可以用于反演这些气溶胶参数。结合光度计标定结果以及针对观测数据的严格去云方案和质量控制措施,利用该算法对几种不同的大气混浊度状况计算了上述气溶胶参数。计算结果与基于Dubovik算法的AERONET业务产品进行了比较,发现两种方法得到的结果大部分比较一致。虽然在大气混浊度较小的情况,Skyrad反演的ω_0和谱分布中的小粒子体积浓度与Dubovik结果相比有很大差异,同时Skyrad的计算误差较大,说明在实际AOD较小时,Skyrad算法的稳定性较低,但其反演结果依然能够在一定程度上表征气溶胶的光学特征。基本分析表明,基于Skyrad.pack算法的等天顶角观测反演结果在一定的大气混浊度和合适的太阳天顶角条件下是合理的,能够用于未纳入AERONET体系的光度计观测的气溶胶光学微物理参数研究。
Aerosol optical depth(AOD),single-scattering albedo(ω_0),size distribution and phase function are important parameters for depicting aerosol optical and microphysical characteristics.These parameters can be derived with Skyrad.pack algorithm from CE 318 sunphotometer direct radiance and sky radiance measurements.Based on the instrument calibration with the cloud screening and quality control schemes employed,these above aerosol parameters for different atmospheric turbidity conditions are retrieved using Skyrad.pack algorithm and compared with those from AERONET operational algorithm presented by Dubovik,et al(2000).The retrieved parameters from Skyrad.pack algorithm are in good agreement with those from AERONET operational algorithm for most conditions.On the other hand,for the clean atmospheric turbidityω_0 and volume concentration of small size particles retrieved using Skyrad.pack algorithm show a significant discrepancy with increased calculation error, indicating that the stability of this algorithm is decreased for clean atmospheric condition.The preliminary analysis demonstrates that the retrieval results based on the Skyrad.pack algorithm are of acceptable precision under the condition of higher atmospheric turbidity and appropriate solar zenith angle and can be used to study the aerosol optical and microphysical parameters derived from the sunphotometers that are not included in the AERONET network.