Performance analysis of weather research and forecasting model for simulating near-surface optical turbulence over land

Qing, Chun; Wu, Xiaoqing; Li, Xuebin; Zhu, Wenyue

doi:10.1016/j.ijleo.2019.05.023

Cited by 7 publications

(3 citation statements)

References 31 publications

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“…e discipline of music sight-reading is a course that aims to develop students' ability to read, sing, memorize, and recognize music, as well as perceive, analyze, express, and imagine music, based on proficiency in the basic principles of music and is a basic skill that all musicians engaged in music must master has traditionally been valued by people engaged in professional music education [5]. With the continuous development of the music education system, the teaching concept and teaching methods of sight-singing and ear training have been innovated; however, the teaching form has been using classroom teaching and training for many years, and this boring teaching form is not only inefficient but also greatly affects the students' interest in learning and lack of learning initiative [6]. Although more and more multimedia tools and teaching software are being used in the classroom for sight-singing teaching, these tools (software) can only assist in teaching, and the existing online courses and online learning platforms, which only provide learners with rich learning resources and different learning pathways, do not yet meet the needs of intelligent teaching [7].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Research on the Model of Music Sight‐Singing Guidance System Based on Artificial Intelligence

Zhe

2021

Complexity

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Intelligent Guided Learning System (ITS) is a computer system that uses computers to imitate the experience and methods of teaching experts to assist in teaching; ITS provides learners with personalized learning resources and adaptive teaching methods, thus reducing students’ dependence on teachers and realizing independent learning. After years of research and development, and with the help of artificial intelligence technology, ITS has basically formed a stable structure and unified implementation specifications and has given birth to many excellent products in disciplines such as basic computer, language, medicine, and mathematics. Based on the above background, this paper takes the system structure of universal ITS as the basis, combines the characteristics of music sight-singing subject in teaching contents and teaching methods, researches the intelligent guidance system model of music sight-singing, and completes the design of the overall system architecture. The specific strategies and implementation methods of the teaching methods, resource recommendation, and ability assessment components of the teaching model are studied. The research includes the definition of the difficulty characteristics of the score, the design of the score recommendation algorithm, the design of the sight-singing scoring algorithm, and the experimental analysis of each algorithm. It is proposed that the difficulty feature-based score recommendation algorithm is the core component of resource recommendation in the teacher model, and the sight-singing scoring algorithm is the basis for ability assessment and learner model update.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Research on the Model of Music Sight‐Singing Guidance System Based on Artificial Intelligence

Zhe

2021

Complexity

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“…All the flights were released during the early morning at 7:40 or late evening at 19:40. At the same time, the turbulence strength near the ground was obtained [14,15]. A comprehensive description of micro-thermometer and its specifications are given in [16][17][18][19].…”

Section: Experiments Detailsmentioning

confidence: 99%

Atmospheric Optical Turbulence Characteristics over the Ocean Relevant to Astronomy and Atmospheric Physics

Shao

Weng

et al. 2021

Applied Sciences

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Due to the space and time constraints of turbulence measurement equipment and the experiment scene, it is difficult to obtain the atmosphere refractive index structure constant over the ocean. In this paper, the characteristics of atmospheric optical turbulence in offshore and open ocean conditions are summarized by analyzing the meteorological data obtained from two ocean atmospheric optical parameter field experiments. Because of the influence of land undersurface, the turbulence strength in offshore conditions is roughly the same as that on land and presents different characteristics in open ocean. Compared with the offshore area, the turbulence strength over the open ocean near-surface decreases during the day and increases at night, and the diurnal variation characteristics weaken. The turbulence strength profiles over the offshore area show different characteristics at different times, where the turbulence strength in the morning is higher than that in the evening. By retrieving the meteorological factors affecting the turbulence, it is found that the temperature gradient and wind shear are in good agreement with turbulence strength in both offshore and open ocean areas. Furthermore, the integrated parameters for astronomy and optical telecommunication are derived from profiles over the offshore and open ocean areas. It is of great significance to research the turbulent characteristics of ocean atmosphere for optical transmission and astronomical observations.

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“…However, under stable conditions, MOST fails to realistically represent turbulence and stability functions and other boundary characteristics [5][6][7], because of their sensitivity to frequently observed submesoscale phenomena such as gravity waves, meandering motions, radiative divergence, and intermittency [5,8]. The Weather Research and Forecasting (WRF) model, which uses MOST, has been widely used for weather forecasting and air quality research in the numerical modelling community [9][10][11][12]. However, for the reasons noted, this model has limitations in presenting boundary characteristics under stable conditions, which leads to discrepancies in the results of studies based on the WRF model [13,14].…”

Section: Introductionmentioning

confidence: 99%

Improvement of Stable Atmospheric Boundary Simulation with High-Spatiotemporal-Resolution Nudging over the North China Plain

Xu,

Peng,

Wang

et al. 2024

Atmosphere

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The WRF model often struggles to accurately replicate specific characteristics of the atmospheric boundary layer, particularly under highly stable conditions. In this study, we reconstructed an OBS-nudging module using meteorological data with high spatiotemporal resolution, then coupled it in the WRF model (WRF-OBS) to improve stable boundary layer (SBL) simulation over the North China Plain (NCP). The results showed that WRF-OBS improved the simulation of SBL characteristics and reduced the deviation from observations significantly. The correlations (R2) between WRF-OBS simulations and observations of 2 m temperature, relative humidity, and 10 m wind speed at 460 stations across the NCP were 0.72, 0.56, and 0.75, respectively, which were much higher than the values for results from the unassimilated WRF model (WRF-BS). The simulated vertical profiles of temperature, relative humidity, and wind were generally consistent with observations at Pingyuan station. The meteorological factors which caused heavy air pollution was also investigated based on WRF-OBS simulation. The SBL characteristics obtained from WRF-OBS showed that light wind persisted over the NCP region during the period of heavy pollution, and Pingyuan was affected by warm and humid air. Vertically, the persistent temperature inversion at Pingyuan station was one of the main drivers of the heavy pollution. The WRF-OBS simulation captured the characteristics of the two temperature inversion layers very well. The two inversion layers covered the NCP, with a horizontal scale of approximately 200 km, and created very stable conditions, preventing the vertical diffusion of pollutants and maintaining high PM2.5 concentrations.

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Performance analysis of weather research and forecasting model for simulating near-surface optical turbulence over land

Cited by 7 publications

References 31 publications

[Retracted] Research on the Model of Music Sight‐Singing Guidance System Based on Artificial Intelligence

[Retracted] Research on the Model of Music Sight‐Singing Guidance System Based on Artificial Intelligence

Atmospheric Optical Turbulence Characteristics over the Ocean Relevant to Astronomy and Atmospheric Physics

Improvement of Stable Atmospheric Boundary Simulation with High-Spatiotemporal-Resolution Nudging over the North China Plain

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