PBLH is a critical parameter influencing weather phenomena, air quality, and various meteorological processes. However, accurately retrieving PBLH has been a challenging task due to limitations such as coarse temporal resolution and measurement drift in traditional radiosonde observations. To address these limitations, we have devised a lidar-based methodology that capitalizes on a newly developed algorithm for PBLH retrieval. This algorithm demonstrates enhanced capabilities in capturing diurnal fluctuations in PBLH compared to existing lidar-based methods (Su et al., 2020). In addition, we have refined this algorithm specifically for PBLH retrieval under cloudy conditions through a novel scheme (Su et al., 2022). To ensure data reliability, a quality-control process has been implemented to filter out questionable data points. Accompanying the dataset is a quality-control flag for ease of reference. It should be noted that we have assimilated all available radiosonde observations to provide a more robust estimate of PBLH, making the dataset valuable for a variety of related studies. Data for PBLH are collected between 07:00 and 19:00 Local Time and are expressed in meters. In the dataset, a Quality Control (QC) value of 0 signifies valid data. A QC value of -2 denotes data that are "Not a Number" (NaN), indicating missing or non-applicable information. A QC value of 2 flags problematic data that may require further scrutiny.

{"references": ["Su T, Z Li, and R Kahn. 2020. \"A new method to retrieve the diurnal variability of planetary boundary layer height from lidar under different thermodynamic stability conditions.\" Remote Sensing of Environment, 237, 111519, 10.1016/j.rse.2019.111519.", "Su T, Y Zheng, and Z Li. 2022. \"Methodology to determine the coupling of continental clouds with surface and boundary layer height under cloudy conditions from lidar and meteorological data.\" Atmospheric Chemistry and Physics, 22(2), 10.5194/acp-22-1453-2022."]}

If you have any questions or want to use this dataset in manuscripts/publications, please contact me (Email: tianningsu1994@gmail.com).