Journal article
On the impact of gaps on trend detection in extreme streamflow time series
- Abstract:
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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
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- Files:
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(Accepted manuscript, pdf, 1.2MB)
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- Publisher copy:
- 10.1002/joc.4954
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Authors
Bibliographic Details
- 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:
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1097-0088
- ISSN:
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0899-8418
- Source identifiers:
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919131
Item Description
- Keywords:
- Pubs id:
-
pubs:919131
- UUID:
-
uuid:8fe3ae96-82a7-416d-820a-82cb7ff90d85
- Local pid:
- pubs:919131
- Deposit date:
- 2018-09-16
Terms of use
- Copyright holder:
- Royal Meteorological Society
- Copyright date:
- 2016
- Notes:
- © 2016 Royal Meteorological Society. This is the author accepted manuscript following peer review version of the article. The final version is available online from Wiley at: 10.1002/joc.4954
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