Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 22
Articles | Volume 17, issue 22
https://doi.org/10.5194/gmd-17-8093-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-8093-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 22
Development and technical paper
 | 
14 Nov 2024
Development and technical paper |  | 14 Nov 2024

An updated parameterization of the unstable atmospheric surface layer in the Weather Research and Forecasting (WRF) modeling system

Prabhakar Namdev, Maithili Sharan, Piyush Srivastava, and Saroj Kanta Mishra

Viewed

Total article views: 1,657 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,266 316 75 1,657 140 94 113
  • HTML: 1,266
  • PDF: 316
  • XML: 75
  • Total: 1,657
  • Supplement: 140
  • BibTeX: 94
  • EndNote: 113
Views and downloads (calculated since 27 Feb 2024)
Cumulative views and downloads (calculated since 27 Feb 2024)

Viewed (geographical distribution)

Total article views: 1,657 (including HTML, PDF, and XML) Thereof 1,603 with geography defined and 54 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Oct 2025
Download
Short summary
Inadequate representation of surface–atmosphere interaction processes is a major source of uncertainty in numerical weather prediction models. Here, an effort has been made to improve the Weather Research and Forecasting (WRF) model version 4.2.2 by introducing a unique theoretical framework under convective conditions. In addition, to enhance the potential applicability of the WRF modeling system, various commonly used similarity functions under convective conditions have also been installed.
Read more
Share