Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 16, issue 2
Articles | Volume 16, issue 2
https://doi.org/10.5194/amt-16-563-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-563-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 2
Research article
 | 
30 Jan 2023
Research article |  | 30 Jan 2023

Estimates of the spatially complete, observational-data-driven planetary boundary layer height over the contiguous United States

Zolal Ayazpour, Shiqi Tao, Dan Li, Amy Jo Scarino, Ralph E. Kuehn, and Kang Sun

Viewed

Total article views: 2,494 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,879 554 61 2,494 57 56
  • HTML: 1,879
  • PDF: 554
  • XML: 61
  • Total: 2,494
  • BibTeX: 57
  • EndNote: 56
Views and downloads (calculated since 23 Sep 2022)
Cumulative views and downloads (calculated since 23 Sep 2022)

Viewed (geographical distribution)

Total article views: 2,494 (including HTML, PDF, and XML) Thereof 2,375 with geography defined and 119 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Apr 2025
Download
Short summary
Accurate knowledge of the planetary boundary layer height (PBLH) is essential to study air pollution. However, PBLH observations are sparse in space and time, and PBLHs used in atmospheric models are often inaccurate. Using PBLH observations from the Aircraft Meteorological DAta Relay (AMDAR), we present a machine learning framework to produce a spatially complete PBLH product over the contiguous US that shows a better agreement with reference PBLH observations than commonly used PBLH products.
Read more
Share