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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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Bibliographic Details
Main Authors:	Louise Slater, Gabriele Villarini
Format:	Default Article
Published:	2017
Subjects:	Atmospheric sciences not elsewhere classified Other earth sciences not elsewhere classified Gaps Trend detection Annual maximum Peak-over-threshold Times series analysis Earth Sciences not elsewhere classified Atmospheric Sciences
Online Access:	https://hdl.handle.net/2134/23978
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