Qing Chun, Wu Xiaoqing, Li Xuebin, Zhu Wenyue, Qiao Chunhong, Rao Ruizhong, Mei Haipin
Opt Express. 2016 Jun 13;24(12):13303-15. doi: 10.1364/OE.24.013303.
The methods to obtain atmospheric refractive index structure constant (Cn2) by instrument measurement are limited spatially and temporally and they are more difficult and expensive over the ocean. It is useful to forecast Cn2 effectively from Weather Research and Forecasting Model (WRF) outputs. This paper introduces a method that WRF Model is used to forecast the routine meteorological parameters firstly, and then Cn2 is calculated based on these parameters by the Bulk model from the Monin-Obukhov similarity theory (MOST) over the ocean near-surface. The corresponding Cn2 values measured by the micro-thermometer which is placed on the ship are compared with the ones forecasted by WRF model to determine how this method performs. The result shows that the forecasted Cn2 is consistent with the measured Cn2 in trend and the order of magnitude as a whole, as well as the correlation coefficient is up to 77.57%. This method can forecast some essential aspects of Cn2 and almost always captures the correct magnitude of Cn2, which experiences fluctuations of two orders of magnitude. Thus, it seems to be a feasible and meaningful method that using WRF model to forecast near-surface Cn2 value over the ocean.
通过仪器测量获取大气折射率结构常数（Cn2）的方法在空间和时间上都受到限制，而且在海洋上实施起来更加困难且成本高昂。利用天气研究和预报模型（WRF）的输出结果有效预测Cn2是很有意义的。本文介绍了一种方法，即首先利用WRF模型预测常规气象参数，然后根据这些参数，基于莫宁-奥布霍夫相似理论（MOST）的总体模型计算海洋近表层的Cn2。将放置在船上的微型温度计测量得到的相应Cn2值与WRF模型预测的Cn2值进行比较，以确定该方法的效果。结果表明，预测的Cn2与测量的Cn2在趋势和整体量级上是一致的，相关系数高达77.57%。该方法能够预测Cn2的一些基本特征，并且几乎总能捕捉到经历两个量级波动的Cn2的正确量级。因此，利用WRF模型预测海洋近表层Cn2值似乎是一种可行且有意义的方法。
