Impact of lidar data assimilation on planetary boundary layer wind and PM2.5 prediction in Taiwan

Yang, Shu-Chih; Cheng, Fang‐Yi; Wang, Lianjie; Wang, Sheng Hsiang; Hsu, Chia-Hua

doi:10.1016/j.atmosenv.2022.119064

Cited by 4 publications

(2 citation statements)

References 59 publications

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“…The lower troposphere is the primary region for the exchange of material, water, and energy between the free atmosphere and the planetary boundary layer (PBL). Observing and studying wind fields in the lower troposphere are crucial for understanding the intricate land-atmosphere physical processes and improving the accuracy of numerical models in simulating and forecasting the climate, the weather, and air pollution [1][2][3]. Additionally, they play an essential role in bridge design, aviation flight safety support, and wind power utilization [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Investigating Wind Characteristics and Temporal Variations in the Lower Troposphere over the Northeastern Qinghai–Tibet Plateau Using a Doppler LiDAR

Zheng,

Liu,

Peng

et al. 2024

Remote Sensing

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Knowledge of wind field characteristics and variation principles in complex topographical regions is of great importance for the development of numerical prediction models, aviation safety support, and wind energy utilization. However, there has been limited research focused on the lower-tropospheric wind fields in the Qinghai-Tibet Plateau. This paper aims to study the wind characteristics, vertical distributions, and temporal variations in the northeast of the plateau by analyzing a four-year continuous dataset collected from a Doppler wind LiDAR deployed in Xining, Qinghai Province of China. The results indicate that the prevailing horizontal wind direction in the low levels is primarily influenced by the mountain-valley wind circulation. However, as the altitude increases, the prevailing winds are predominantly affected by the westerlies. From a diurnal perspective, noticeable transition processes between up-valley and down-valley winds can be observed. The west-northwest wind (down-valley wind) dominates from late night to morning, while the east-southeast wind (up-valley wind) prevails from afternoon to early evening. The vertical winds in the low levels exhibit a downward motion during the daytime and an upward motion during the nighttime. In this plateau valley, the wind shear exponent is found to be highest in spring and lowest in winter, and it is generally lower during the daytime compared to the nighttime.

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Section: Introductionmentioning

confidence: 99%

Investigating Wind Characteristics and Temporal Variations in the Lower Troposphere over the Northeastern Qinghai–Tibet Plateau Using a Doppler LiDAR

Zheng,

Liu,

Peng

et al. 2024

Remote Sensing

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“…The CMAQ model has been used to analyze forecasts of fine particle concentrations. For instance, various studies have examined the direct impact of meteorological factor forecasts on the prediction of atmospheric pollutants [ 20 ], the utilization of micro-pulse lidar observations [ 21 ], the incorporation of Global Positioning System Zenith Total Delay data [ 22 ], and the implementation of an urban canopy parameterization scheme [ 23 ] to enhance the accuracy of fine particle forecasting using the CMAQ model. Researchers have also used machine learning [ 24 ], four-dimensional variational assimilation [ 25 ], and Kalman filter [ 26 ] methods to optimize fine particle forecasts by the CMAQ model.…”

Section: Introductionmentioning

confidence: 99%

Forecast of Fine Particles in Chengdu under Autumn–Winter Synoptic Conditions

Yang,

Wang,

Zhang

2023

Toxics

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We conducted an evaluation of the impact of meteorological factor forecasts on the prediction of fine particles in Chengdu, China, during autumn and winter, utilizing the European Cooperation in Science and Technology (COST)733 objective weather classification software and the Community Multiscale Air Quality model. This analysis was performed under four prevailing weather patterns. Fine particle pollution tended to occur under high-pressure rear, homogeneous-pressure, and low-pressure conditions; by contrast, fine particle concentrations were lower under high-pressure bottom conditions. The forecasts of fine particle concentrations were more accurate under high-pressure bottom conditions than under high-pressure rear and homogeneous-pressure conditions. Moreover, under all conditions, the 24 h forecast of fine particle concentrations were more accurate than the 48 and 72 h forecasts. Regarding meteorological factors, forecasts of 2 m relative humidity and 10 m wind speed were more accurate under high-pressure bottom conditions than high-pressure rear and homogeneous-pressure conditions. Moreover, 2 m relative humidity and 10 m wind speed were important factors for forecasting fine particles, whereas 2 m air temperature was not. Finally, the 24 h forecasts of meteorological factors were more accurate than the 48 and 72 h forecasts, consistent with the forecasting of fine particles.

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Horizontal flux of ozone in the planetary boundary layer in Hong Kong using wind LiDAR measurements

Lin,

Fung,

Ren

et al. 2023

Atmospheric Environment

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Impact of lidar data assimilation on planetary boundary layer wind and PM2.5 prediction in Taiwan

Cited by 4 publications

References 59 publications

Investigating Wind Characteristics and Temporal Variations in the Lower Troposphere over the Northeastern Qinghai–Tibet Plateau Using a Doppler LiDAR

Investigating Wind Characteristics and Temporal Variations in the Lower Troposphere over the Northeastern Qinghai–Tibet Plateau Using a Doppler LiDAR

Forecast of Fine Particles in Chengdu under Autumn–Winter Synoptic Conditions

Horizontal flux of ozone in the planetary boundary layer in Hong Kong using wind LiDAR measurements

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