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Работы, на которые ссылается эта работа

Работ: 31

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

  1. The ERA5 global reanalysis

    Hans Hersbach, Bill Bell, Paul Berrisford +40

    Статья2020Цитирований: 27
    ABI

  2. From Differential Image Motion to Seeing

    Andreï Tokovinin

    Статья2002Цитирований: 4
    ABI

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

    Zhiyong Wang, Lanqiang Zhang, Lin Kong +6

    Статья2018Цитирований: 3
    ABI

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

    Joschua Hellemeier, Rui Yang, M. Sarazin +1

    Статья2018Цитирований: 3
    ABI

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

    Eslam Reda Lotfy, Ashraf A. Abbas, Sheikh Ahmad Zaki +1

    Статья2019Цитирований: 3
    ABI

  6. Wide field-of-view, high-resolution Solar observation in combination with ground layer adaptive optics and speckle imaging

    Libo Zhong, Lanqiang Zhang, Zhendong Shi +7

    Статья2020Цитирований: 3
    ABI

  7. Canarian Observatories Meteorology; Comparison of OT and ORM using Regional Climate Reanalysis

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

    Статья2021Цитирований: 3
    ABI

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

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

    Статья2019Цитирований: 3
    ABI

  9. Evaluation of Five Reanalysis Products With Radiosonde Observations Over the Central Taklimakan Desert During Summer

    Jie Huang, Jinfang Yin, Minzhong Wang +5

    Статья2021Цитирований: 3
    ABI

  10. Estimation of Turbulence Parameters in the Lower Troposphere from ShUREX (2016–2017) UAV Data

    Hubert Luce, Lakshmi Kantha, Hiroyuki Hashiguchi +1

    Статья2019Цитирований: 2
    ABI

  11. Astroclimate of Northern Caucasus—Myths and reality

    В. Е. Панчук, В. Л. Афанасьев

    Статья2011Цитирований: 2
    ABI

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

    Yao Wang, Sukanta Basu

    Статья2016Цитирований: 2
    ABI

  13. Developments and Prospects of GMDH-Based Inductive Modeling

    Volodymyr Stepashko

    Глава2017Цитирований: 2
    ABI

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

    Chun Qing, Xiaoqing Wu, Xuebin Li +3

    Статья2020Цитирований: 2
    ABI

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

    Raúl Parada, S. Rueda-Teruel, Carlos Monzó

    Статья2020Цитирований: 2
    ABI

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

    Ebru Eriş, Yonca Çavuş, Hafzullah Aksoy +3

    Статья2020Цитирований: 2
    ABI

  17. Без названия

    ДругоеЦитирований: 2
    ABI

  18. The Daniel K. Inouye Solar Telescope – Observatory Overview

    Thomas Rimmelé, M. Warner, S. L. Keil +71

    Статья2020Цитирований: 2
    ABI

  19. Machine-learning informed macro-meteorological models for the near-maritime environment

    Christopher Jellen, Miles Oakley, Charles Nelson +2

    Статья2021Цитирований: 2
    ABI

  20. 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

    Статья2021Цитирований: 2
    ABI

  21. Forecasting seeing for the Maunakea observatories with machine learning

    T. Cherubini, Ryan Lyman, Steven Businger

    Статья2021Цитирований: 2
    ABI

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

    S. L. Odintsov, В. А. Гладких, A. P. Kamardin +1

    Статья2022Цитирований: 2
    ABI

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

    Yalin Li, Hongqun Zhang, Lang Li +3

    Статья2023Цитирований: 2
    ABI

  24. Application of Neural Networks to Estimation and Prediction of Seeing at the Large Solar Telescope Site

    A. Yu. Shikhovtsev, P. G. Kovadlo, Alexander Kiselev +2

    Статья2023Цитирований: 2
    ABI

  25. Machine learning-based seeing estimation and prediction using multi-layer meteorological data at Dome A, Antarctica

    Xu H, Yi Hu, Fujia Du +6

    Статья2023Цитирований: 2
    ABI