Nonstationary Streamflow Forecasting
Nonstationary Streamflow Forecasting is a streamflow forecasting approach that accounts for time-varying statistical properties in hydrological systems, distinguishing itself from traditional methods by explicitly modeling nonstationarities arising from climate change, land-use changes, or other external forcings.
34
Publications
2.2K
Citations
108
Authors
61
Institutions
Publications per year
2017–2026
13
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1–5 of 34
108
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61
Xi'an University of Technology
Xi'an, China
3 h-index
14 publications
2.4K citations
Environment and Climate Change Canada
Ottawa, Canada
2 h-index
4 publications
472 citations
CSIRO Land and Water
Canberra, Australia
2 h-index
11 publications
1.2K citations

Yangzhou University
Yangzhou, China
2 h-index
2 publications
86 citations
United Arab Emirates University
Al Ain, United Arab Emirates
2 h-index
2 publications
53 citations

University of Liverpool
Liverpool, United Kingdom
2 h-index
2 publications
23 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
2 h-index
9 publications
1.1K citations
University of Wyoming
Laramie, United States
1 h-index
2 publications
114 citations
1–8 of 61
12 publications · 1.4K citations
11
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2 publications · 160 citations
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JAP · 2 publications · 23 citations
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2 publications · 37 citations
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2 publications · 41 citations
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