从数值天气预报模型中持续白天和夜间预测大气光学流
Optics express
|October 20, 2023
概括
对大气光学流 (Cn2) 的准确预测对于卫星通信至关重要. 本研究提出了一种新的数值方法,使用WRF连续预测Cn2配置文件,并通过现实世界的测量进行验证.
科学领域:
- 光学通信系统 光学通信系统
- 大气物理大气物理学
- 遥感是一种远程传感.
背景情况:
- 从卫星到地面的光通信需要精确的大气光学流预测.
- 流会影响站点选择,链路路由,操作和终端设计.
研究的目的:
- 开发和验证大气光学流 (Cn2) 垂直配置文件的连续数值预测方法.
- 为了比较两个不同的Cn2模型的预测准确度.
主要方法:
- 利用天气研究和预报 (WRF) 软件进行数值模拟.
- 实施了两个Cn2模型:一个基于动动能,一个混合模型 (塔塔斯基方程和莫宁-奥布霍夫相似性理论).
- 使用热探测器数据 (T-REX活动) 和连贯度长度测量 (帕拉纳尔天文台) 验证的模型.
主要成果:
- 介绍了一种用于连续C n2配置预测的新型数值方法.
- 证明了该方法在白天和夜间预测方面的能力.
- 对实验测量进行了验证,证实了模型的有效性.
结论:
- 开发的基于WRF的方法提供了连续的,验证的光学流 (C n2) 预测.
- 这种能力对于优化未来卫星到地面光通信系统的性能和可靠性至关重要.
- 该研究成功评估和比较了两种不同的Cn2建模策略.
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