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 data set 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 data set valuable for a variety of related studies.
PBLHT
 
pblht > Planetary Boundary Layer Height (PBLH) over SGP from 1998 to 2023Data Source Type(s) > PI
Purpose
The purpose of this data set is to provide a high-quality, reliable source of PBLH measurements, aiming to advance our understanding of atmospheric processes and conditions. This data set aspires to be the best PBLH product available for researchers and practitioners.
Primary Measurements
Locations
- Fixed
- Mobile
Data Details
Developed By | TIANNING SU (tianningsu1994@gmail.com) 0000-0003-3056-2592 | ZHANQING LI (zhanqing@umd.edu) |
Contact | Tianning SU |
Resource(s) |
Data Directory ReadMe |
Data format | netcdf |
Site | SGP |
Content time range | 29 September 1998 - 29 June 2023 |
Attribute accuracy | No formal uncertainty assessments were conducted and no estimates of uncertainty are reported. |
Positional accuracy | No formal positional accuracy tests were conducted. |
Data Consistency and Completeness | Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details. |
Use Restriction | No use constraints are associated with this data. |
Citations |
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. |