Stochastic Modeling of Hydroclimatic Processes Using Vine Copulas
The generation of synthetic time series is important in contemporary water sciences for their wide applicability and ability to model environmental uncertainty. Hydroclimatic variables often exhibit highly skewed distributions, intermittency (that is, alternating dry and wet intervals), and spatial...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
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Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/13/16/2156 |