Articles | Volume 386
https://doi.org/10.5194/piahs-386-209-2024
https://doi.org/10.5194/piahs-386-209-2024
Post-conference publication
 | 
19 Apr 2024
Post-conference publication |  | 19 Apr 2024

Attributing weather patterns to Davao River extreme rainfall from Reanalysis and GCM

Ralph Allen Acierto, Tomoki Ushiyama, and Toshio Koike

Viewed

Total article views: 99 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
60 30 9 99 7 5
  • HTML: 60
  • PDF: 30
  • XML: 9
  • Total: 99
  • BibTeX: 7
  • EndNote: 5
Views and downloads (calculated since 19 Apr 2024)
Cumulative views and downloads (calculated since 19 Apr 2024)

Viewed (geographical distribution)

Total article views: 96 (including HTML, PDF, and XML) Thereof 96 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jun 2024
Download
Short summary
The study evaluated how well a GCM can reproduce the past weather patterns linked to the heavy rainfall events in Davao river basin by using raingauge and ERA5 data as reference. Our findings show that MRI-AGCM 3.2S reproduced similar weather patterns in JJA and DJF seasons as compared to ERA5 but due to small differences in configuration lead to biases in the local rainfall. This method can be also applied to other river basins and for evaluating how the future local rainfall will change.