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  1. OA@INAF
  2. PRODOTTI RICERCA INAF
  3. 3 CONTRIBUTI IN ATTI DI CONVEGNO (Proceedings)
  4. 3.01 Contributi in Atti di convegno
Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12386/28359
Title: Evaluation of filtering techniques to increase the reliability of weather forecasts for ground-based telescopes
Authors: TURCHI, ALESSIO 
Martelloni, Gianluca
MASCIADRI, ELENA 
Issue Date: 2018
Volume: Adaptive Optics Systems VI
Editors: Close, Laird M.; Schreiber, Laura; Schmidt, Dirk
Series: PROCEEDINGS OF SPIE 
Number: 10703
First Page: 107036H
Abstract: 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.
Conference Name: Adaptive Optics Systems VI
Conference Place: Austin, Texas, United States
Conference Date: 10-15 June, 2018
URI: http://hdl.handle.net/20.500.12386/28359
URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10703/107036H/Evaluation-of-filtering-techniques-to-increase-the-reliability-of-weather/10.1117/12.2312480.full
ISSN: 0277-786X
ISBN: 9781510619593
9781510619609
DOI: 10.1117/12.2312480
Bibcode ADS: 2018SPIE10703E..6HT
Fulltext: open
Appears in Collections:3.01 Contributi in Atti di convegno

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