Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 386
Articles | Volume 386
https://doi.org/10.5194/piahs-386-209-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-386-209-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 386
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: 238 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
162 61 15 238 11 5
  • HTML: 162
  • PDF: 61
  • XML: 15
  • Total: 238
  • BibTeX: 11
  • 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: 234 (including HTML, PDF, and XML) Thereof 234 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Nov 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.
Read more