TURCHI, ALESSIOALESSIOTURCHIMartelloni, GianlucaGianlucaMartelloniMASCIADRI, ELENAELENAMASCIADRI2020-11-162020-11-162018978151061959397815106196090277-786Xhttp://hdl.handle.net/20.500.12386/28359In 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.ELETTRONICOenConference paper10.1117/12.23124802-s2.0-85053553829000452819300191https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10703/107036H/Evaluation-of-filtering-techniques-to-increase-the-reliability-of-weather/10.1117/12.2312480.full2018SPIE10703E..6HTFIS/05 - ASTRONOMIA E ASTROFISICA