Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 4
Articles | Volume 17, issue 4
https://doi.org/10.5194/gmd-17-1469-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-1469-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 4
Methods for assessment of models
 | 
19 Feb 2024
Methods for assessment of models |  | 19 Feb 2024

Sensitivity of atmospheric rivers to aerosol treatment in regional climate simulations: insights from the AIRA identification algorithm

Eloisa Raluy-López, Juan Pedro Montávez, and Pedro Jiménez-Guerrero

Viewed

Total article views: 1,015 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
716 220 79 1,015 80 62
  • HTML: 716
  • PDF: 220
  • XML: 79
  • Total: 1,015
  • BibTeX: 80
  • EndNote: 62
Views and downloads (calculated since 06 Jul 2023)
Cumulative views and downloads (calculated since 06 Jul 2023)

Viewed (geographical distribution)

Total article views: 1,015 (including HTML, PDF, and XML) Thereof 992 with geography defined and 23 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Nov 2024
Download
Short summary
Atmospheric rivers (ARs) represent a significant source of water but are also related to extreme precipitation events. Here, we present a new regional-scale AR identification algorithm and apply it to three simulations that include aerosol interactions at different levels. The results show that aerosols modify the intensity and trajectory of ARs and redistribute the AR-related precipitation. Thus, the correct inclusion of aerosol effects is important in the simulation of AR behavior.
Read more