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Changes in rainfall and streamflow via quantile regression methods and relationship with IPO, MJO and ENSO indexes in French Polynesia

Authors

Sichoix,  Lydie
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Benoit,  Lionel
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Sichoix, L., Benoit, L. (2023): Changes in rainfall and streamflow via quantile regression methods and relationship with IPO, MJO and ENSO indexes in French Polynesia, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/iugg23-3744


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5022064
Abstract
This study aims to assess rainfall and streamflow changes at local scale and subhourly to daily interval over the Islands of Tahiti and Moorea during the period 1977-2020, and to provide indicators for integrated water resource management under high anthropogenic pressure, as well as flood risk anticipation, especially over the most populated northwestern part of Tahiti (50% of Polynesian population). Our analysis is based on quantile regression combining linear and annual cycle components applied on 18 rain gauge and 2 river discharge time series. Results show a moderate to high decrease of extreme precipitation (percentiles > 0.90) on the western leeward side. More surprisingly, we also observe a moderate increase in rainfall for the windward (North-East) and southern areas, as well as an overall decline in streamflow over two watersheds encompassing the urban zone of North-West Tahiti. This last finding is correlated with the precipitation decline in leeward slopes. The differences in observed rainfall and streamflow trends may be related to differences in forcings involved. To better understand the influence of the regional climate on our hydrometeorological observations, we investigate the modulating effect of the El Niño Southern Oscillation (ENSO), the Madden-Julian Oscillation (MJO) and Interdecadal Pacific Oscillation (IPO) on rainfall and runoff by testing a fast inference for time-varying quantiles via a flexible dynamic quantile linear approach. Increase and decline in precipitation are tied to respective positive and negative IPO phases. However, further validation is required to disentangle the short-term influence of different modes of variability contained in distinct time scales.