Articles | Volume 15, issue 11
https://doi.org/10.5194/hess-15-3307-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.Simplifying a hydrological ensemble prediction system with a backward greedy selection of members – Part 1: Optimization criteria
Related subject area
Subject: Global hydrology | Techniques and Approaches: Mathematical applications
Projecting end-of-century climate extremes and their impacts on the hydrology of a representative California watershed
Integrating process-related information into an artificial neural network for root-zone soil moisture prediction
Coherence of global hydroclimate classification systems
Design flood estimation for global river networks based on machine learning models
Attributing correlation skill of dynamical GCM precipitation forecasts to statistical ENSO teleconnection using a set-theory-based approach
Hydrol. Earth Syst. Sci., 26, 3589–3609,
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2022Hydrol. Earth Syst. Sci., 25, 6173–6183,
2021Hydrol. Earth Syst. Sci., 25, 5981–5999,
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