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Works cited by this work

37 works

Work: Estimation of Astronomical Seeing with Neural Networks at the Maidanak Observatory

  1. The ERA5 global reanalysis

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  2. The atmospheric conditions of the Maidanak Observatory in Uzbekistan for ground-based observations

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  3. Astronomical Seeing and Meteorological Parameters at Maidanak Observatory

    Yusufjon Tillayev, Azimjon Azimov, Sh. A. Ehgamberdiev +1

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  4. From Differential Image Motion to Seeing

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  5. A modified S-DIMM+: applying additional height grids for characterizing daytime seeing profiles

    Zhiyong Wang, Lanqiang Zhang, Lin Kong +6

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  6. Weather at selected astronomical sites – an overview of five atmospheric parameters

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  7. Characteristics of Turbulent Coherent Structures in Atmospheric Flow Under Different Shear–Buoyancy Conditions

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    Libo Zhong, Lanqiang Zhang, Zhendong Shi +7

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    S. L. Hidalgo, C. Muñoz–Tuñón, Julio A. Castro-Almazán +1

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  10. Formation of Turbulence at Astronomical Observatories in Southern Siberia and North Caucasus

    V. V. Nosov, В. П. Лукин, Е. В. Носов +1

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  11. Untitled

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  14. Using an artificial neural network approach to estimate surface-layer optical turbulence at Mauna Loa, Hawaii

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  15. Developments and Prospects of GMDH-Based Inductive Modeling

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  16. Mesoscale optical turbulence simulations above Tibetan Plateau: first attempt

    Chun Qing, Xiaoqing Wu, Xuebin Li +3

    Article20202 citations
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  17. Local Seeing Measurement for Increasing Astrophysical Observatory Quality Images Using an Autonomous Wireless Sensor Network

    Raúl Parada, S. Rueda-Teruel, Carlos Monzó

    Article20202 citations
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  18. Spatiotemporal analysis of meteorological drought over Kucuk Menderes River Basin in the Aegean Region of Turkey

    Ebru Eriş, Yonca Çavuş, Hafzullah Aksoy +3

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  19. Untitled

    Other2 citations
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  20. The Daniel K. Inouye Solar Telescope – Observatory Overview

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  22. The application of machine learning to predictions of optical turbulence in the surface layer at Baikal Astrophysical Observatory

    L. А. Bolbasova, Anatoliy Andrakhanov, A. Yu. Shikhovtsev

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  23. Forecasting seeing for the Maunakea observatories with machine learning

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  24. Height of the Mixing Layer under Conditions of Temperature Inversions: Experimental Data and Model Estimates

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  25. Multistep ahead atmospheric optical turbulence forecasting for free-space optical communication using empirical mode decomposition and LSTM-based sequence-to-sequence learning

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