Optical turbulence characterization at LAMOST site: observations and models

Liu, L.-Y.; Giordano, Christophe; Yao, Yulong; Vernin, J.; Chadid, M.; Wang, H.-S.; Yin, Jiabo; Wang, Y.-P.

doi:10.1093/mnras/stv1165

Cited by 16 publications

(10 citation statements)

References 43 publications

(47 reference statements)

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“…In most recent years other studies concerning the OT forecast on the whole atmosphere have been published using other mesoscale models (Trinquet & Vernin (2007); Cherubini et al (2008); Cherubini et al (2011); Giordano et al (2013); Liu et al (2015)) or using GCMs (Ye (2011); Osborn & Sarazin (2018)). Methods employed include the TKE prognostic equation approach and empirical approaches based on description of the C 2 N as a function of the temperature and wind speed.…”

Section: Introductionmentioning

confidence: 99%

Filtering techniques to enhance optical turbulence forecast performances at short time-scales

Masciadri

Martelloni

Turchi

2019

Monthly Notices of the Royal Astronomical Society

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The efficiency of the management of top-class ground-based astronomical facilities supported by Adaptive Optics (AO) relies on our ability to forecast the optical turbulence (OT) and a set of relevant atmospheric parameters. Indeed, in spite of the fact that the AO is able to achieve, at present, excellent levels of wavefront corrections (a Strehl Ratio up to 90% in H band), its performances strongly depend on the atmospheric conditions. Knowing in advance the atmospheric turbulence conditions allows an optimization of the AO use. It has already been proven that it is possible to provide reliable forecasts of the optical turbulence (C 2 N profiles and integrated astroclimatic parameters such as seeing, isoplanantic angle, wavefront coherence time, ...) for the next night. In this paper we prove that it is possible to improve the forecast performances on shorter time scales (order of one or two hours) with consistent gains (order of 2 to 8) employing filtering techniques that make use of real-time measurements. This has permitted us to achieve forecasts accuracies never obtained before and reach a fundamental milestone for the astronomical applications. The time scale of one or two hours is the most critical one for an efficient management of the ground-based telescopes supported by AO. We implemented this method in the operational forecast system of the Large Binocular Telescope, named ALTA Center that is, at our knowledge, the first operational system providing forecasts of turbulence and atmospheric parameters at short time scales to support science operations.

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Section: Introductionmentioning

confidence: 99%

Filtering techniques to enhance optical turbulence forecast performances at short time-scales

Masciadri

Martelloni

Turchi

2019

Monthly Notices of the Royal Astronomical Society

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“…Graham in Arizona (Hagelin et al 2011), Dome C in Antarctica (Lascaux et al 2009(Lascaux et al , 2010(Lascaux et al , 2011. For completeness we remind that other studies concerning the OT forecast on the whole atmosphere have been carried out using other mesoscale or general Circulation Models and similar (or different) approaches in the astronomical context (Cherubini et al 2011;Ye 2011;Giordano et al 2013;Liu et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Optical turbulence forecast: ready for an operational application

Masciadri¹,

Lascaux²,

Turchi³

et al. 2016

Mon. Not. R. Astron. Soc.

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One of the main goals of the feasibility study MOSE (MOdelling ESO Sites) is to evaluate the performances of a method conceived to forecast the optical turbulence above the ESO sites of the Very Large Telescope and the European-Extremely Large Telescope in Chile. The method implied the use of a dedicated code conceived for the optical turbulence (OT) called Astro-Meso-Nh. In this paper we present results we obtained at conclusion of this project concerning the performances of this method in forecasting the most relevant parameters related to the optical turbulence (C 2 N , seeing ε, isoplanatic angle θ 0 and wavefront coherence time τ 0 ). Numerical predictions related to a very rich statistical sample of nights uniformly distributed along a solar year and belonging to different years have been compared to observations and different statistical operators have been analyzed such as the classical bias, RMSE, σ and more sophisticated statistical operators derived by the contingency tables that are able to quantify the score of success of a predictive method such as the percentage of correct detection (PC) and the probability to detect a parameter within a specific range of values (POD). The main conclusions of the study tell us that the Astro-Meso-Nh model provides performances that are already very good to definitely guarantee a not negligible positive impact on the Service Mode of top-class telescopes and ELTs. A demonstrator for an automatic and operational version of the Astro-Meso-Nh model will be soon implemented on the sites of VLT and E-ELT.

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“…The ESO SCIDAR data were obtained using a Stereo-SCIDAR instrument developed by Durham University (Shepherd et al 2014). The Tibet Ali site is considered to be one of the best sites in east Asia (Liu et al 2015a;Ye et al 2016) and has been selected as one of the potential sites for the LOT. The site-testing data are obtained with the method discussed in Liu et al (2010), Liu et al (2013) and Liu et al (2015b).…”

Section: A S E R G U I D E S Ta R S Y S T E M S T U Dymentioning

confidence: 99%

OUP accepted manuscript

Jia

Basden

Osborn

2018

MNRAS

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Optical turbulence characterization at LAMOST site: observations and models

Cited by 16 publications

References 43 publications

Filtering techniques to enhance optical turbulence forecast performances at short time-scales

Filtering techniques to enhance optical turbulence forecast performances at short time-scales

Optical turbulence forecast: ready for an operational application

OUP accepted manuscript

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