Articles | Volume 16, issue 2
https://doi.org/10.5194/amt-16-563-2023
https://doi.org/10.5194/amt-16-563-2023
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: 3,196 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,357 753 86 3,196 82 98
  • HTML: 2,357
  • PDF: 753
  • XML: 86
  • Total: 3,196
  • BibTeX: 82
  • EndNote: 98
Views and downloads (calculated since 23 Sep 2022)
Cumulative views and downloads (calculated since 23 Sep 2022)

Viewed (geographical distribution)

Total article views: 3,196 (including HTML, PDF, and XML) Thereof 3,065 with geography defined and 131 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 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.
Share