Hydroclimatic Variability of the Grey River Basin (Chilean Patagonia): Trends and Relationship with Large-Scale Climatic Phenomena
Abstract
This study investigated the influence of long-term climatic phenomena on the hydroclimatic dynamics of the Grey River Basin in Chilean Patagonia. By analyzing hydroclimatological datasets from the last four decades (1980 to 2020), including precipitation, temperature, wind speed, potential evapotranspiration, and streamflow, we identified key trends and correlations with three large-scale climate indices: the Antarctic Oscillation (AAO), El NiñoSouthern Oscillation (ENSO), and Pacific Decadal Oscillation (PDO). Statistical methods such as the MannKendall test, Sens slope, PCA, and wavelet coherence were applied. The results indicate a significant upward trend in streamflow, with Sens slope of 0.710 m3/s/year (p-value = 0.020), particularly since 2002, while other variables showed limited or no significant trends. AAO exhibited the strongest correlations with streamflow and wind speed, while ENSO 3.4 was the most influential ENSO index, especially during the two extreme El Niño events in 1982, 1997, and 2014. PDO showed weaker relationships overall. Wavelet analysis revealed coherent periodicities at 1- and 2-year frequencies between AAO and flow (wavelet coherence = 0.44), and at 2- to 4-year intervals between ENSO and precipitation (wavelet coherence = 0.63). These findings highlight the sensitivity of the Grey River basin to climatic variability and reinforce the need for integrated water resource management in the face of ongoing climate change. © 2025 by the authors.
Más información
| Título según WOS: | Hydroclimatic Variability of the Grey River Basin (Chilean Patagonia): Trends and Relationship with Large-Scale Climatic Phenomena |
| Título según SCOPUS: | Hydroclimatic Variability of the Grey River Basin (Chilean Patagonia): Trends and Relationship with Large-Scale Climatic Phenomena |
| Título de la Revista: | Water (Switzerland) |
| Volumen: | 17 |
| Número: | 13 |
| Editorial: | Multidisciplinary Digital Publishing Institute (MDPI) |
| Fecha de publicación: | 2025 |
| Idioma: | English |
| DOI: |
10.3390/w17131895 |
| Notas: | ISI, SCOPUS |