Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 13, issue 12
Articles | Volume 13, issue 12
https://doi.org/10.5194/amt-13-6593-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-13-6593-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 12
Research article
 | 
07 Dec 2020
Research article |  | 07 Dec 2020

Improvement of numerical weather prediction model analysis during fog conditions through the assimilation of ground-based microwave radiometer observations: a 1D-Var study

Pauline Martinet, Domenico Cimini, Frédéric Burnet, Benjamin Ménétrier, Yann Michel, and Vinciane Unger

Viewed

Total article views: 3,191 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,191 913 87 3,191 131 134
  • HTML: 2,191
  • PDF: 913
  • XML: 87
  • Total: 3,191
  • BibTeX: 131
  • EndNote: 134
Views and downloads (calculated since 13 May 2020)
Cumulative views and downloads (calculated since 13 May 2020)

Viewed (geographical distribution)

Total article views: 3,191 (including HTML, PDF, and XML) Thereof 3,034 with geography defined and 157 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Nov 2025
Download
Short summary
Each year large human and economical losses are due to fog episodes. However, fog forecasts remain quite inaccurate, partly due to a lack of observations in the atmospheric boundary layer. The benefit of ground-based microwave radiometers has been investigated and has demonstrated their capability of significantly improving the initial state of temperature and liquid water content profiles in current numerical weather prediction models, paving the way for improved fog forecasts in the future.
Read more
Share
Special issue
Tropospheric profiling (ISTP11) (AMT/ACP inter-journal SI)