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On the impact of gaps on trend detection in extreme streamflow time series

Abstract:

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 quarter, one third, and half of the way) on the detection rate of significant monotonic trends in annual maxima and peaks‐over‐threshold, based on the most commonly‐used trend tests in time series o...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1002/joc.4954

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Institution:
University of Oxford
Division:
Social Sciences Division
Department:
SOGE
Subgroup:
Geography
Oxford college:
Hertford College
Role:
Author
ORCID:
0000-0001-9416-488X
Publisher:
Wiley Publisher's website
Journal:
International Journal of Climatology Journal website
Volume:
37
Issue:
10
Pages:
3976-3983
Publication date:
2016-12-19
Acceptance date:
2016-11-05
DOI:
EISSN:
1097-0088
ISSN:
0899-8418
Pubs id:
pubs:919131
URN:
uri:8fe3ae96-82a7-416d-820a-82cb7ff90d85
UUID:
uuid:8fe3ae96-82a7-416d-820a-82cb7ff90d85
Local pid:
pubs:919131

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