Ensemble predictions of runoff in ungauged catchments

By N. McIntyre, Hyosang Lee, Howard S. Wheater, A. Young, Thorsten Wagener. 2005

376 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/b4ad120831aae54fdccdb5480232e342851f0ac6

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In Global and Planetary Change

In Water Science and Technology

Citations in the corpus

Flow Prediction in Ungauged Catchments Using Probabilistic Random Forests Regionalization and New Statistical Adequacy Tests (2019, background): “…the following: (i) hydrological model parameters often suffer from poor identifiability and strong interdependencies (Bulygina et al., 2012; McIntyre et al., 2005) and (ii) parameter regionalization relationships are difficult or impossible to derive (Blöschl et al., 2013), in no small…”
Forward Prediction of Runoff Data in Data-Scarce Basins with an Improved Ensemble Empirical Mode Decomposition (EEMD) Model (2018, background): “[4] proposed a new approach to the regionalization of conceptual rainfall-runoff models based on ensemble modeling and model averaging.”
Spatial proximity, physical similarity, regression and ungaged catchments: A comparison of regionalization approaches based on 913 French catchments (2008, background): “However, when comparing our results with calibration efficiencies, it is obvious that there is still considerable room for progress on the regionalization issue, comparable to that reported in other studies on large sets of catchments [Merz and Blöschl, 2004; McIntyre et al., 2005; Young, 2006].”
Continuous streamflow prediction in ungauged basins: The effects of equifinality and parameter set selection on uncertainty in regionalization approaches (2014, background): “Comparative studies have been performed on small to large data sets, on multiple hydrological models, and with many variants which will be discussed further [Merz and Bl€ oschl, 2004; Parajka et al., 2005; McIntyre et al., 2005; Bardossy, 2007; Yadav et al., 2007; Oudin et al., 2008; Zhang and Chiew”
Streamflow prediction in ungauged catchments using copula‐based dissimilarity measures (2010, background): “More recently, ensemble averaging [McIntyre et al., 2005] and multiscale parameter regionalization [Samaniego et al., 2010] have been introduced to address these shortcomings.”