A Multi-Model Ensemble Pattern Method to Estimate the Refractive Index Structure Parameter Profile and Integrated Astronomical Parameters in the Atmosphere

作者：Hanjiu Zhang, Liming Zhu, Gang Sun, Kun Zhang, Ying Liu, Xuebin Ma, Haojia Zhang, Qing Liu, Shengcheng Cui, Tao Luo, Xuebin Li, Ningquan Weng · 发表于：Remote Sensing · 年份：2023 · DOI：10.3390/rs15061584 · 被引用次数：8 · 研究领域：Adaptive optics and wavefront sensing、Atmospheric aerosols and clouds、Remote Sensing in Agriculture

In this study, we devised a constraint method, called multi-model ensemble pattern (MEP), to estimate the refractive index structure parameter (Cn2) profiles based on observational data and multiple existing models. We verified this approach against radiosonde data from field campaigns in China’s eastern and northern coastal areas. Multi-dimensional statistical evaluations for the Cn2 profiles and integrated astronomical parameters have proved MEP’s relatively reliable performance in estimating optical turbulence in the atmosphere. The correlation coefficients of MEP and measurement overall Cn2 in two areas are up to 0.65 and 0.76. A much higher correlation can be found for a single radiosonde profile. Meanwhile, the difference evaluation of integrated astronomical parameters also shows its relatively robust performance compared to a single model. The prowess of this reliable approach allows us to carry out regional investigation on optical turbulence features with routine meteorological data soon.