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.
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Metadata Creator:
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Name:
Tianning SU |
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Email:
tianningsu1994@gmail.com |
Phone:
3016487713 |
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Street:
5825 University Research Ct suite 4001 |
City:
College Park |
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State:
MD |
Postal:
20740 |
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Contact Info:
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Name:
Tianning SU |
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Email:
tianningsu1994@gmail.com |
Phone:
3016487713 |
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Street:
5825 University Research Ct suite 4001 |
City:
College Park |
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State:
MD |
Postal:
20740 |
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Investigator(s):
| TIANNING SU (tianningsu1994@gmail.com) 0000-0003-3056-2592
ZHANQING LI (zhanqing@umd.edu)
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| Related Publications/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. |
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| Data Citation: | https://doi.org/10.5439/2007149 |
| Data Format: | netcdf |
| Abstract: | 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. |
| 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. |
| Data Usage: | The PBLH data set offers vital insights into the atmosphere's vertical structure close to the Earth's surface. The data set is particularly valuable for diverse applications such as weather forecasting, air quality modeling, and climate research. Data for PBLH are collected between 07:00 and 19:00 Local Time and are expressed in meters. In the data set, 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. |
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Arm Sites:
| sgp |
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Content Time Range:
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Begin:
1998-09-29
End:
2023-06-29 |
| Data Type: | research data - ASR funded
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| Scientific Measurements(s): |
| Measurement name | Variables |
| Planetary Boundary Layer Height | pblh
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| Stratum Keyword(s): |
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| Data Quality: |
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Attribute Accuracy:
| No formal uncertainty assessments were conducted and no estimates of uncertainty are reported. |
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Positional Accuracy:
| No formal positional accuracy tests were conducted. |
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Consistency and Completeness Report:
| 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. |
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Use Restrictions:
| No use constraints are associated with this data. |
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Distribution Info:
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Organization Name: |
ARM Archive User Services
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Email:
armarchive[at]ornl.gov
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Phone:
1-888-ARM-DATA
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Street:
Oak Ridge National Laboratory
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City:
Oak Ridge
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State:
Tennessee
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Postal:
37831-6290
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