Evaluation of filtering techniques to increase the reliability of weather forecasts for ground-based telescopes
Date Issued
2018
Author(s)
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.
Coverage
Adaptive Optics Systems VI
All editors
Close, Laird M.; Schreiber, Laura; Schmidt, Dirk
Series
Volume
10703
Start page
107036H
Conferenece
Adaptive Optics Systems VI
Conferenece place
Austin, Texas, United States
Conferenece date
10-15 June, 2018
Issn Identifier
0277-786X
Ads BibCode
2018SPIE10703E..6HT
Rights
open.access
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