标题： 评估滤波技术以提高基于地面望远镜的天气预报可靠性 显示英文标题

标题： Evaluation of filtering techniques to increase the reliability of meteo forecasts for ground-based telescopes

摘要： 本文中，我们评估了滤波技术在提升光学湍流和对地基望远镜至关重要的大气参数预报精度方面的影响。 这些技术利用望远镜传感器和仪器持续提供的数据，以改善实时预报性能，而实时预报对望远镜运行具有影响。 在之前的研究中，我们已经展示了如何使用中尺度高频预报（Meso-NH 和 Astro-Meso-NH 模型）来可靠地预测不同的大气参数和光学湍流。 与全球模型相比，中尺度预报在物理大气过程（包括湍流）的实现上更优，并且生成的空间分辨率更高的输出（高达 100 米或更高）。 利用望远镜实时传感器数据的滤波技术可能有助于去除可能对短期中尺度预报产生影响的潜在偏差和趋势，从而提高最终输出的准确性。 鉴于当前和未来顶级望远镜设施的复杂性和成本，对未来观测条件预报的每一次改进无疑都将有助于更好地分配观测时间，特别是在排队模式操作中，并将在中长期为科学界带来益处。 显示英文摘要

摘要： In this contribution we evaluate the impact of filtering techniques in enhancing the accuracy of forecasts of optical turbulence and atmospheric parameters critical for ground-based telescopes. These techniques make use of the data continuously provided by the telescope sensors and instruments to improve the performances of real-time forecasts which have an impact on the telescope operation. In previous works we have already shown how a mesoscale high-frequency forecast (Meso-NH and Astro-Meso-Nh models) can produce reliable predictions of different atmospheric parameters and the optical turbulence. The mesoscale forecast has an advantage on the global model in having a better implementation of the physical atmospheric processes, including turbulence, and produces an output with greater spatial resolution (up to 100m or beyond). Filtering techniques that make use of the real-time sensor data at the telescope may help in removing potential biases and trends which have an impact on short term mesoscale forecast and, as a consequence, may increase the accuracy of the final output. Given the complexity and cost of present and future top-class telescope installations, each improvement of forecasts of future observing conditions will definitely help in better allocating observing time, especially in queue-mode operation, and will definitely benefit the scientific community in medium-long term.