Articles | Volume 14, issue 9
https://doi.org/10.5194/amt-14-5977-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-5977-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Sep 2021
Research article |
| 03 Sep 2021
| 03 Sep 2021
Evaluation of retrieval methods for planetary boundary layer height based on radiosonde data
Hui Li
State Key Laboratory of Information Engineering in Surveying,
Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
Shandong Provincial Engineering and Technical Center of Light
Manipulations & Shandong Provincial Key Laboratory of Optics and Photonic
Device, School of Physics and Electronics, Shandong Normal University, Jinan
250014, China
Boming Liu
CORRESPONDING AUTHOR
State Key Laboratory of Information Engineering in Surveying,
Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
Xin Ma
CORRESPONDING AUTHOR
State Key Laboratory of Information Engineering in Surveying,
Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
Shikuan Jin
State Key Laboratory of Information Engineering in Surveying,
Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
Yingying Ma
State Key Laboratory of Information Engineering in Surveying,
Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China
Yuefeng Zhao
Shandong Provincial Engineering and Technical Center of Light
Manipulations & Shandong Provincial Key Laboratory of Optics and Photonic
Device, School of Physics and Electronics, Shandong Normal University, Jinan
250014, China
Wei Gong
School of Electronic Information, Wuhan University, Wuhan, China
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Cited
18 citations as recorded by crossref.
- Estimation of Planetary Boundary Layer Height From Lidar by Combining Gradient Method and Machine Learning Algorithms H. Li et al. 10.1109/TGRS.2023.3329122
- Modeling NO2 air pollution variation during and after COVID-19-regulation using principal component analysis of satellite imagery K. Kovács & I. Haidu 10.1016/j.envpol.2023.122973
- Edge AI cosmos blockchain distributed network for precise ablh detection S. Shivadekar et al. 10.1007/s11042-024-18128-9
- Regionalization of the summertime planetary boundary layer height in comparison with various reanalysis datasets over China Z. Xu et al. 10.1016/j.atmosres.2022.106534
- Probing into the wintertime meteorology and particulate matter (PM2.5 and PM10) forecast over Delhi A. Sengupta et al. 10.1016/j.apr.2022.101426
- A mixed layer height parameterization in a 3-D chemical transport model: Implications for gas and aerosol simulations H. Kim et al. 10.1016/j.scitotenv.2024.176838
- Estimating Boundary Layer Height from LiDAR Data under Complex Atmospheric Conditions Using Machine Learning Z. Liu et al. 10.3390/rs14020418
- Study of winter haze pollution events in Jinan (China) Y. Zhao et al. 10.1016/j.uclim.2023.101516
- The relationship between atmospheric boundary layer and temperature inversion layer and their aerosol capture capabilities B. Liu et al. 10.1016/j.atmosres.2022.106121
- Study of Persistent Haze Pollution in Winter over Jinan (China) Based on Ground-Based and Satellite Observations H. Li et al. 10.3390/rs13234862
- Evaluating convective planetary boundary layer height estimations resolved by both active and passive remote sensing instruments during the CHEESEHEAD19 field campaign J. Duncan Jr. et al. 10.5194/amt-15-2479-2022
- Regionalization of the Summertime Planetary Boundary Layer Height in Comparison with Various Reanalysis Datasets Over China Z. Xu et al. 10.2139/ssrn.4171533
- A Comparative Study on Four Methods of Boundary Layer Height Calculation in Autumn and Winter under Different PM2.5 Pollution Levels in Xi’an, China H. Sun et al. 10.3390/atmos14040728
- The covariability between temperature inversions and aerosol vertical distribution over China Z. Zhu et al. 10.1016/j.apr.2023.101959
- Comparison of scanning aerosol lidar and in situ measurements of aerosol physical properties and boundary layer heights H. Zhang et al. 10.5194/ar-2-135-2024
- Midday Boundary-Layer Collapse in the Altiplano Desert: The Combined Effect of Advection and Subsidence F. Aguirre-Correa et al. 10.1007/s10546-023-00790-5
- A Cluster Analysis Approach for Nocturnal Atmospheric Boundary Layer Height Estimation from Multi-Wavelength Lidar Z. Zhu et al. 10.3390/atmos14050847
- An ensemble method for improving the estimation of planetary boundary layer height from radiosonde data X. Chen et al. 10.5194/amt-16-4289-2023
18 citations as recorded by crossref.
- Estimation of Planetary Boundary Layer Height From Lidar by Combining Gradient Method and Machine Learning Algorithms H. Li et al. 10.1109/TGRS.2023.3329122
- Modeling NO2 air pollution variation during and after COVID-19-regulation using principal component analysis of satellite imagery K. Kovács & I. Haidu 10.1016/j.envpol.2023.122973
- Edge AI cosmos blockchain distributed network for precise ablh detection S. Shivadekar et al. 10.1007/s11042-024-18128-9
- Regionalization of the summertime planetary boundary layer height in comparison with various reanalysis datasets over China Z. Xu et al. 10.1016/j.atmosres.2022.106534
- Probing into the wintertime meteorology and particulate matter (PM2.5 and PM10) forecast over Delhi A. Sengupta et al. 10.1016/j.apr.2022.101426
- A mixed layer height parameterization in a 3-D chemical transport model: Implications for gas and aerosol simulations H. Kim et al. 10.1016/j.scitotenv.2024.176838
- Estimating Boundary Layer Height from LiDAR Data under Complex Atmospheric Conditions Using Machine Learning Z. Liu et al. 10.3390/rs14020418
- Study of winter haze pollution events in Jinan (China) Y. Zhao et al. 10.1016/j.uclim.2023.101516
- The relationship between atmospheric boundary layer and temperature inversion layer and their aerosol capture capabilities B. Liu et al. 10.1016/j.atmosres.2022.106121
- Study of Persistent Haze Pollution in Winter over Jinan (China) Based on Ground-Based and Satellite Observations H. Li et al. 10.3390/rs13234862
- Evaluating convective planetary boundary layer height estimations resolved by both active and passive remote sensing instruments during the CHEESEHEAD19 field campaign J. Duncan Jr. et al. 10.5194/amt-15-2479-2022
- Regionalization of the Summertime Planetary Boundary Layer Height in Comparison with Various Reanalysis Datasets Over China Z. Xu et al. 10.2139/ssrn.4171533
- A Comparative Study on Four Methods of Boundary Layer Height Calculation in Autumn and Winter under Different PM2.5 Pollution Levels in Xi’an, China H. Sun et al. 10.3390/atmos14040728
- The covariability between temperature inversions and aerosol vertical distribution over China Z. Zhu et al. 10.1016/j.apr.2023.101959
- Comparison of scanning aerosol lidar and in situ measurements of aerosol physical properties and boundary layer heights H. Zhang et al. 10.5194/ar-2-135-2024
- Midday Boundary-Layer Collapse in the Altiplano Desert: The Combined Effect of Advection and Subsidence F. Aguirre-Correa et al. 10.1007/s10546-023-00790-5
- A Cluster Analysis Approach for Nocturnal Atmospheric Boundary Layer Height Estimation from Multi-Wavelength Lidar Z. Zhu et al. 10.3390/atmos14050847
- An ensemble method for improving the estimation of planetary boundary layer height from radiosonde data X. Chen et al. 10.5194/amt-16-4289-2023
Latest update: 20 Nov 2024
Short summary
Radiosonde (RS) is widely used to detect the vertical structures of the planetary boundary layer (PBL), and numerous methods have been proposed for retrieving PBL height (PBLH) from RS data. However, an algorithm that is suitable under all atmospheric conditions does not exist. This study evaluates the performance of four common PBLH algorithms under different thermodynamic stability conditions based on RS data.
Radiosonde (RS) is widely used to detect the vertical structures of the planetary boundary layer...
