Trends, Shifting, or Oscillations? Stochastic Modeling of Nonstationary Time Series for Future Water‐Related Risk Management
Abstract Hydrological time series often present nonstationarities such as trends, shifts, or oscillations due to anthropogenic effects and hydroclimatological variations, including global climate change. For water managers, it is crucial to recognize and define the nonstationarities in hydrological...
Main Authors: | Taesam Lee, Taha B. M. J. Ouarda |
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Format: | Article |
Language: | English |
Published: |
Wiley
2023-07-01
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Series: | Earth's Future |
Subjects: | |
Online Access: | https://doi.org/10.1029/2022EF003049 |
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