Responses of zonal wind at ~40°N to stratospheric sudden warming events in the stratosphere, mesosphere and lower thermosphere

Yang, Jin Min; Cunying, Xiao; Hu, Xiong; Xu, Qingchen

doi:10.1007/s11431-016-0310-8

Cited by 12 publications

(9 citation statements)

References 32 publications

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“…Because wind filtering is the main reason for AGWs dissipation in the stratosphere and mesosphere [9,21], WACCM was run in the specified dynamics mode (SD-WACCM) to output the wind profiles below 80 km. SD-WACCM demonstrates its reliability by integrating dynamic parameters from observational or reanalysis data [22,23]. The dataset was used to interpolate the wind with the hours of the lidar observations above Jiuquan.…”

Section: Discussionmentioning

confidence: 99%

Atmospheric Gravity Wave Potential Energy Observed by Rayleigh Lidar above Jiuquan (40° N, 95° E), China

Zhao

Yan

et al. 2022

Atmosphere

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Two years of observational data from the 532 nm Rayleigh lidar were used to study the vertical profile characteristics of atmospheric gravity wave potential energy density (GWPED) between 40–80 km above Jiuquan (40° N, 95° E) for the first time. The atmospheric gravity waves (AGWs) characteristics are presented in terms of the atmospheric relative temperature perturbation, along with the estimated annual and seasonal GWPED with high spatial and temporal resolution (0.5 km and 1 h). The annual potential energy mass density Epm and volume density Epv vertical profiles show that the GWPED in the upper mesosphere is close to the adiabatic growth rate. The seasonal vertical profiles result shows that Epm is higher in autumn–winter than in spring–summer in all the observed altitudes. The GWPED approaches adiabatic growth above 61 and 65 km in spring–summer and autumn–winter, respectively. The AGWs severely dissipate below the turning altitudes and transfer energy into the background atmosphere. The GWPED scale heights show that the AGWs dissipation rate of spring–summer is close to that of autumn–winter. Furthermore, based on the wind data from SD–WACCM, the influence of critical level filtering on AGWs is discussed. It plays an important role in affecting the seasonal variation in GWPED.

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Section: Discussionmentioning

confidence: 99%

Atmospheric Gravity Wave Potential Energy Observed by Rayleigh Lidar above Jiuquan (40° N, 95° E), China

Zhao

Yan

et al. 2022

Atmosphere

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“…Measurements of the wind field in the middle atmosphere (10~80 km) hold significant scientific and practical value in various fields, including atmospheric dynamics, climate research, and aircraft design [1][2][3][4][5][6]. To conduct continuous wind measurements in this altitude range, direct detection (incoherent) Doppler lidar systems equipped with powerful lasers and large-aperture telescopes are required [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

The Impacts of Deformed Fabry–Perot Interferometer Transmission Spectrum on Wind Lidar Measurements

Zhao,

Chen,

Xie

et al. 2024

Remote Sensing

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The Fabry–Perot interferometer (FPI) plays a crucial role as the frequency discriminator in the incoherent Doppler wind lidar. However, in the practical receiver system, reflections occurring between optical elements introduce non-normal incident components in the light beams passing through the FPI. This phenomenon results in the deformation of the FPI transmission spectral lines. Based on that, a theoretical model has been developed to describe the transmission spectrum of the FPI when subjected to obliquely incident light beams with a divergence angle. By appropriately adjusting the model parameters, the simulated transmission spectrum of the FPI edge channels can coincide with the experimentally measured FPI spectral line. Subsequently, the impact of deformations in the transmission spectrum of the two edge channels on wind measurements is evaluated. The first implication is a systematic shift of 30.7 m/s in line-of-sight (LOS) wind velocities. This shift is based on the assumption that the lidar echo is solely backscattered from atmospheric molecules. The second consequence is the inconsistency in the response sensitivities of Doppler frequency shift between Rayleigh signals and Mie signals. As a result, the lidar system fails to fully achieve its initial design objectives, particularly in effectively suppressing interference from Mie signals. The presence of aerosols can introduce a significant error of several meters per second in the measurement of LOS wind velocity.

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“…The study of atmospheric wind fields has its roots in long-term observations and explorations of weather, climate, and atmospheric motions. Accurate understanding and prediction of weather conditions are crucial for human life, agriculture, transportation, aviation, and other aspects [1][2][3][4][5]. Currently, there is a widespread recognition of the significance of measuring the tropospheric wind field in improving the accuracy of numerical weather prediction and wind shear warnings.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation and Error Tracing of Rotary Rayleigh Doppler Wind LiDAR

Chen,

Xie,

et al. 2024

Photonics

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In the study of atmospheric wind fields from the upper troposphere to the stratosphere (10 km to 50 km), direct detection wind LiDAR is considered a promising method that offers high-precision atmospheric wind field data. In 2020, Xie et al. of the Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, developed an innovative rotating Rayleigh Doppler wind LiDAR (RRDWL). The system aims to achieve single-LiDAR detection of atmospheric wind fields by rotating the entire device cabin. In 2022, the feasibility of the system was successfully validated in laboratory conditions, and field deployment was completed. Due to the structural differences between this system and traditional direct-detection wind LiDAR, performance tests were conducted to evaluate its continuous detection capability in outdoor environments. Subsequently, based on the test results and error analysis, further analysis was carried out to identify the main factors affecting the system’s detection performance. Finally, the error analysis and traceability of the detection results were conducted, and corresponding measures were discussed to provide a theoretical foundation for optimizing the performance of RRDWL.

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Responses of zonal wind at ~40°N to stratospheric sudden warming events in the stratosphere, mesosphere and lower thermosphere

Cited by 12 publications

References 32 publications

Atmospheric Gravity Wave Potential Energy Observed by Rayleigh Lidar above Jiuquan (40° N, 95° E), China

Atmospheric Gravity Wave Potential Energy Observed by Rayleigh Lidar above Jiuquan (40° N, 95° E), China

The Impacts of Deformed Fabry–Perot Interferometer Transmission Spectrum on Wind Lidar Measurements

Performance Evaluation and Error Tracing of Rotary Rayleigh Doppler Wind LiDAR

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