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On the impact of gaps on trend detection in extreme streamflow time series
Streamflow time series often contain gaps of varying length and location. However, the influence of these gaps on trend detection is poorly understood and cannot be estimated a priori in trend-detection studies. We simulated the effects of varying gap size (1, 2, 5, and 10 years) and location (one q...
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| Main Authors: | , |
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| Format: | Default Article |
| Published: |
2017
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/23978 |
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