EGU22-11024, updated on 16 Jan 2024
https://doi.org/10.5194/egusphere-egu22-11024
EGU General Assembly 2022
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Local Changes in Rainfall and Streamflow via Quantile Regression Methods and their relationship with the PDO, MJO and ENSO: Application to French Polynesia

Lydie Sichoix1, Garance Tanguy1, and Lionel Benoit2
Lydie Sichoix et al.
  • 1University of French Polynesia, OGT & GEPASUD Laboratory, Physics & Geosciences, 98702 Faaa - Tahiti, French Polynesia (lydie.sichoix@upf.pf)
  • 2Biostatistics and Spatial Processes (BioSP), INRAE, 84914 Avignon Cedex 9, France

How to cite: Sichoix, L., Tanguy, G., and Benoit, L.: Local Changes in Rainfall and Streamflow via Quantile Regression Methods and their relationship with the PDO, MJO and ENSO: Application to French Polynesia, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11024, https://doi.org/10.5194/egusphere-egu22-11024, 2022.

This abstract has been withdrawn on 25 May 2022.