Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 21
Articles | Volume 17, issue 21
https://doi.org/10.5194/gmd-17-7629-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-7629-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 21
Model description paper
 | 
30 Oct 2024
Model description paper |  | 30 Oct 2024

At-scale Model Output Statistics in mountain environments (AtsMOS v1.0)

Maximillian Van Wyk de Vries, Tom Matthews, L. Baker Perry, Nirakar Thapa, and Rob Wilby

Viewed

Total article views: 1,188 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
730 211 247 1,188 51 54
  • HTML: 730
  • PDF: 211
  • XML: 247
  • Total: 1,188
  • BibTeX: 51
  • EndNote: 54
Views and downloads (calculated since 03 Apr 2024)
Cumulative views and downloads (calculated since 03 Apr 2024)

Viewed (geographical distribution)

Total article views: 1,188 (including HTML, PDF, and XML) Thereof 1,188 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Apr 2025
Download
Short summary
This paper introduces the AtsMOS workflow, a new tool for improving weather forecasts in mountainous areas. By combining advanced statistical techniques with local weather data, AtsMOS can provide more accurate predictions of weather conditions. Using data from Mount Everest as an example, AtsMOS has shown promise in better forecasting hazardous weather conditions, making it a valuable tool for communities in mountainous regions and beyond.
Read more
Share