57 citations as recorded by crossref.

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2. Estimation of Surface Solar Radiation using Ground-based Remote Sensing Data on the Seoul Metropolitan Area J. Jee et al. https://doi.org/10.5467/JKESS.2018.39.3.228
3. Variability of air ion concentrations in urban Paris V. Dos Santos et al. https://doi.org/10.5194/acp-15-13717-2015
4. Comparison of PBL Heights from Ceilometer Measurements and Greenhouse Gases Concentrations in São Paulo A. Vieira dos Santos et al. https://doi.org/10.3390/atmos14121830
5. Deriving boundary layer height from aerosol lidar using machine learning: KABL and ADABL algorithms T. Rieutord et al. https://doi.org/10.5194/amt-14-4335-2021
6. Investigation of the atmospheric boundary layer depth variability and its impact on the 222Rn concentration at a rural site in France S. Pal et al. https://doi.org/10.1002/2014JD022322
7. On the analysis of ground-based microwave radiometer data during fog conditions M. Temimi et al. https://doi.org/10.1016/j.atmosres.2019.104652
8. Mixing-layer height retrieval with ceilometer and Doppler lidar: from case studies to long-term assessment J. Schween et al. https://doi.org/10.5194/amt-7-3685-2014
9. Estimating the urban atmospheric boundary layer height from remote sensing applying machine learning techniques G. de Arruda Moreira et al. https://doi.org/10.1016/j.atmosres.2021.105962
10. Ceilometer aerosol profiling versus Raman lidar in the frame of the INTERACT campaign of ACTRIS F. Madonna et al. https://doi.org/10.5194/amt-8-2207-2015
11. Convective boundary layer evolution from lidar backscatter and its relationship with surface aerosol concentration at a location of a central China megacity W. Kong & F. Yi https://doi.org/10.1002/2015JD023248
12. An Investigation of Aerosol Scattering and Absorption Properties in Wuhan, Central China W. Gong et al. https://doi.org/10.3390/atmos6040503
13. Monitoring Depth of Shallow Atmospheric Boundary Layer to Complement LiDAR Measurements Affected by Partial Overlap S. Pal https://doi.org/10.3390/rs6098468
14. Effect of Clouds on the Diurnal Evolution of the Atmospheric Boundary-Layer Height Over a Tropical Coastal Station E. Davis et al. https://doi.org/10.1007/s10546-019-00497-6
15. Influence of mixing layer height on air pollutant concentrations in an urban street canyon P. Wagner & K. Schäfer https://doi.org/10.1016/j.uclim.2015.11.001
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18. Evaluation of Ground-Based Upward-Looking Microwave Radiometer Brightness Temperature Observations and Assessment of Machine Learning-Based Methods for Retrieving Atmospheric Profiles and Their Application for Studying the Evolution of the Atmospheric Boundary Layer M. Mishra & P. Thapliyal https://doi.org/10.1007/s12524-025-02164-5
19. Detection of the planetary boundary layer height by employing the Scheimpflug lidar technique and the covariance wavelet transform method L. Mei et al. https://doi.org/10.1364/AO.58.008013
20. Summertime Urban Mixing Layer Height over Sofia, Bulgaria V. Danchovski https://doi.org/10.3390/atmos10010036
21. Evaluation of the boundary layer mixing height and air pollution in Arak, Iran M. Karampoor et al. https://doi.org/10.1007/s12517-022-11097-z
22. The Planetary Boundary Layer Height Climatology Over Oceans Using COSMIC-2 and Spire GNSS RO Bending Angles From 2019 to 2023: Comparisons to CALIOP, ERA-5, MERRA2, and CFS Reanalysis S. Ho et al. https://doi.org/10.1109/TGRS.2024.3503418
23. Measurement report: characteristics of clear-day convective boundary layer and associated entrainment zone as observed by a ground-based polarization lidar over Wuhan (30.5° N, 114.4° E) F. Liu et al. https://doi.org/10.5194/acp-21-2981-2021
24. Seasonal and diurnal variability of planetary boundary layer height in Beijing: Intercomparison between MPL and WRF results Y. Chu et al. https://doi.org/10.1016/j.atmosres.2019.04.017
25. Observation of PM2.5 using a combination of satellite remote sensing and low-cost sensor network in Siberian urban areas with limited reference monitoring C. Lin et al. https://doi.org/10.1016/j.atmosenv.2020.117410
26. Study of mineral dust entrainment in the planetary boundary layer by lidar depolarisation technique J. Bravo-Aranda et al. https://doi.org/10.3402/tellusb.v67.26180
27. Study of the planetary boundary layer by microwave radiometer, elastic lidar and Doppler lidar estimations in Southern Iberian Peninsula G. de Arruda Moreira et al. https://doi.org/10.1016/j.atmosres.2018.06.007
28. Motivating a Synergistic Mixing-Layer Height Retrieval Method Using Backscatter Lidar Returns and Microwave-Radiometer Temperature Observations M. Araujo da Silva et al. https://doi.org/10.1109/TGRS.2022.3158401
29. Determination and climatology of the diurnal cycle of the atmospheric mixing layer height over Beijing 2013–2018: lidar measurements and implications for air pollution H. Wang et al. https://doi.org/10.5194/acp-20-8839-2020
30. When and where horizontal advection is critical to alter atmospheric boundary layer dynamics over land: The need for a conceptual framework S. Pal et al. https://doi.org/10.1016/j.atmosres.2021.105825
31. Evaluation of Different WRF Parametrizations over the Region of Iași with Remote Sensing Techniques I. Roșu et al. https://doi.org/10.3390/atmos10090559
32. Exploiting Existing Ground-Based Remote Sensing Networks to Improve High-Resolution Weather Forecasts A. Illingworth et al. https://doi.org/10.1175/BAMS-D-13-00283.1
33. Climatology of the Atmospheric Boundary Layer Height Using ERA5: Spatio-Temporal Variations and Controlling Factors S. Yang & C. Pan https://doi.org/10.3390/atmos16050573
34. Atmosphere Boundary Layer Height (ABLH) Determination under Multiple-Layer Conditions Using Micro-Pulse Lidar R. Dang et al. https://doi.org/10.3390/rs11030263
35. Thermal Structure of a Coastal–Urban Boundary Layer D. Melecio-Vázquez et al. https://doi.org/10.1007/s10546-018-0361-7
36. A new algorithm for planetary boundary layer height calculation based on multilayer recognition Y. Pan et al. https://doi.org/10.1016/j.atmosenv.2021.118919
37. Accuracy assessment of ground-based microwave radiometer in the Mount Qomolangma region Y. Zhao et al. https://doi.org/10.1016/j.atmosres.2024.107450
38. Characteristics of the planetary boundary layer above Wuhan, China based on CALIPSO Z. Zhu et al. https://doi.org/10.1016/j.atmosres.2018.07.024
39. Radiative Transfer Model Simulations for Ground-Based Microwave Radiometers in North China W. He et al. https://doi.org/10.3390/rs13245161
40. Atmospheric boundary layer top height in South Africa: measurements with lidar and radiosonde compared to three atmospheric models K. Korhonen et al. https://doi.org/10.5194/acp-14-4263-2014
41. A novel model evaluation approach focusing on local and advected contributions to urban PM2.5 levels – application to Paris, France H. Petetin et al. https://doi.org/10.5194/gmd-7-1483-2014
42. Planetary Boundary-Layer Structure at an Inland Urban Site under Sea Breeze Penetration Y. Lee et al. https://doi.org/10.1007/s13143-020-00222-1
43. Single-line-extracted pure rotational Raman lidar to measure atmospheric temperature and aerosol profiles M. Weng et al. https://doi.org/10.1364/OE.26.027555
44. Exploring the daytime boundary layer evolution based on Doppler spectrum width from multiple coplanar wind lidars during CROSSINN N. Babić et al. https://doi.org/10.5194/wcd-5-609-2024
45. Parallel Developments and Formal Collaboration between European Atmospheric Profiling Observatories and the U.S. ARM Research Program M. Haeffelin et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-15-0045.1
46. Planetary boundary layer height by means of lidar and numerical simulations over New Delhi, India K. Nakoudi et al. https://doi.org/10.5194/amt-12-2595-2019
47. Study of the planetary boundary layer height in an urban environment using a combination of microwave radiometer and ceilometer G. Moreira et al. https://doi.org/10.1016/j.atmosres.2020.104932
48. Improving the Retrieval of Cloudy Atmospheric Profiles from Brightness Temperatures Observed with a Ground-Based Microwave Radiometer Q. Li et al. https://doi.org/10.3390/atmos12050648
49. Evaluating WRF-GC v2.0 predictions of boundary layer height and vertical ozone profile during the 2021 TRACER-AQ campaign in Houston, Texas X. Liu et al. https://doi.org/10.5194/gmd-16-5493-2023
50. AI model to improve the mountain boundary layer height of ERA5 J. Xin et al. https://doi.org/10.1016/j.atmosres.2024.107352
51. Impact of atmospheric boundary layer depth variability and wind reversal on the diurnal variability of aerosol concentration at a valley site S. Pal et al. https://doi.org/10.1016/j.scitotenv.2014.07.067
52. Retrieval of the planetary boundary layer height from lidar measurements by a deep-learning method based on the wavelet covariance transform L. Mei et al. https://doi.org/10.1364/OE.454094
53. Atmospheric boundary layer height from ground-based remote sensing: a review of capabilities and limitations S. Kotthaus et al. https://doi.org/10.5194/amt-16-433-2023
54. Evolution of Meteorological Conditions during a Heavy Air Pollution Event under the Influence of Shallow Foehn in Urumqi, China X. Li et al. https://doi.org/10.1007/s00376-022-1422-x
55. Potential of collocated radiometer and wind profiler observations for monsoon studies B. Balaji et al. https://doi.org/10.1016/j.atmosres.2017.04.023
56. Retrieving Boundary Layer Height Using Doppler Wind Lidar and Microwave Radiometer in Beijing Under Varying Weather Conditions C. Liu et al. https://doi.org/10.3390/rs18020296
57. Overview: Tropospheric profiling: state of the art and future challenges – introduction to the AMT special issue D. Cimini et al. https://doi.org/10.5194/amt-7-2981-2014