Articles | Volume 14, issue 2
https://doi.org/10.5194/amt-14-1099-2021
https://doi.org/10.5194/amt-14-1099-2021
Research article
 | 
10 Feb 2021
Research article |  | 10 Feb 2021

Assimilation of lidar planetary boundary layer height observations

Andrew Tangborn, Belay Demoz, Brian J. Carroll, Joseph Santanello, and Jeffrey L. Anderson

Viewed

Total article views: 1,828 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,183 586 59 1,828 66 68
  • HTML: 1,183
  • PDF: 586
  • XML: 59
  • Total: 1,828
  • BibTeX: 66
  • EndNote: 68
Views and downloads (calculated since 07 Jul 2020)
Cumulative views and downloads (calculated since 07 Jul 2020)

Viewed (geographical distribution)

Total article views: 1,828 (including HTML, PDF, and XML) Thereof 1,774 with geography defined and 54 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Jun 2024
Download
Short summary
Accurate prediction of the planetary boundary layer is essential to both numerical weather prediction (NWP) and pollution forecasting. This paper presents a methodology to combine these measurements with the models through a statistical data assimilation approach that calculates the correlation between the PBLH and variables like temperature and moisture in the model. The model estimates of these variables can be improved via this method, and this will enable increased forecast accuracy.