- 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...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted manuscript
- Files:
-
-
(pdf, 1.2MB)
-
- Publisher copy:
- 10.1002/joc.4954
-
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- 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
- 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
Journal article
On the impact of gaps on trend detection in extreme streamflow time series
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