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Study of Thermodynamic Horizontal Structure of the Middle and Upper Atmosphere Based on Atmospheric Detection Lidar Networks

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Publicado en:Atmosphere vol. 16, no. 4 (2025), p. 401
Autor principal: Ren Liting
Otros Autores: Yang, Yong, Liu Linmei, Lin, Xin, Zheng Jinzhou, Wang, Wei, Liang Jiaming, Xia Yuan, Wang Jiqin, Ji Kaijie, Chen, Zhenwei, Zhang, Yuqi, Cheng, Xuewu, Li Faquan
Publicado:
MDPI AG
Materias:
China
Temperature distribution
Investigations
Lidar observations
Lidar
Atmospheric dynamics
Data assimilation
Temperature profiles
Temperature structure
Wave dynamics
Optics
Energy transport
Thermodynamics
Temperature fields
Telescopes
Upper atmosphere
Lasers
Sodium
Root-mean-square errors
Temperature profile
Data collection
Mesopause
Atmospheric waves
Acceso en línea:Citation/Abstract
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Resumen:Understanding the thermodynamic horizontal structure of the mesopause is essential for studying atmospheric wave dynamics and energy transport. However, conventional models like MSISE-00 exhibit some discrepancies from lidar observations in the mesopause. To obtain a more reliable horizontal temperature structure, this study integrates coordinated lidar observations from Urumqi, Yuzhong, and Yangbajing with models using a three-dimensional variational (3DVAR) data assimilation method to construct a high-resolution temperature field over northwestern China. The assimilated temperature profiles closely match lidar observations, with the RMSE (root mean square error) of residual reductions of 67.35% at Urumqi, 60.69% at Yuzhong, and 34.80% at Yangbajing. Independent validation at Korla showed a RMSE of residual reductions of 40.14%, confirming the model’s effectiveness. The thermodynamical horizontal structures of the mesopause obtained from this model were also analyzed. The lidar-based model for the mesopause extends the observation results from disparate lidar stations to the area between lidar stations and will contribute to a deeper understanding of upper atmospheric dynamics.
ISSN:2073-4433
DOI:10.3390/atmos16040401
Fuente:Publicly Available Content Database