Medium-range Streamflow Forecasting
Medium-Range Streamflow Forecasting is a hydrological prediction task that involves estimating river discharge or flow conditions over a temporal horizon of typically 1 to 14 days, distinguishing it from short-range and long-range forecasting by its focus on sub-seasonal lead times driven by meteorological forcing and catchment dynamics.
28
Publications
1.1K
Citations
107
Authors
57
Institutions
Publications per year
2017–2026
17
Parents
28
Alan D. Snow, Scott Christensen, Nathan Swain et al. · JAWRA Journal of the American Water Resources Association · 2016 · 70 citations · Full text
Natural Resources, High-performance Computing, Hydrology +16
Flow categorization model for improving forecasting
C. Sivapragasam, Shie‐Yui Liong · Hydrology research · 2005 · 66 citations
1–5 of 28
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Universidade Federal do Rio Grande do Sul, Brazil
2 publications · 69 citations
2
h-index
1–5 of 107
57
University of Colorado Boulder
Boulder, United States
3 h-index
6 publications
306 citations
Universidade Federal do Rio Grande do Sul
Porto Alegre, Brazil
3 h-index
14 publications
522 citations

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
2 h-index
7 publications
290 citations
Cooperative Institute for Research in Environmental Sciences
Boulder, United States
2 h-index
3 publications
243 citations

Kongju National University
Gongju, South Korea
2 h-index
2 publications
68 citations

Pennsylvania State University
State College, United States
2 h-index
3 publications
173 citations
Indian Institute of Technology Kharagpur
Kharagpur, India
2 h-index
7 publications
133 citations
Federal Office of Meteorology and Climatology MeteoSwiss
Zurich, Switzerland
1 h-index
2 publications
36 citations
1–8 of 57
6 publications · 374 citations
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5 publications · 143 citations
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4 publications · 115 citations
4
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2 publications · 62 citations
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2 publications · 45 citations
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