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- W3215616542 abstract "Predictive uncertainty in hydrological modelling is quantified by using post-processing or Bayesian-based methods. The former methods are not straightforward and the latter ones are not distribution-free (i.e. assumptions on the probability distribution of the hydrological model's output are necessary). To alleviate possible limitations related to these specific attributes, in this work we propose the calibration of the hydrological model by using the quantile loss function. By following this methodological approach, one can directly simulate pre-specified quantiles of the predictive distribution of streamflow. As a proof of concept, we apply our method in the frameworks of three hydrological models to 511 river basins in contiguous US. We illustrate the predictive quantiles and show how an honest assessment of the predictive performance of the hydrological models can be made by using proper scoring rules. We believe that our method can help towards advancing the field of hydrological uncertainty." @default.
- W3215616542 created "2021-12-06" @default.
- W3215616542 creator A5003329348 @default.
- W3215616542 creator A5045992049 @default.
- W3215616542 date "2021-12-03" @default.
- W3215616542 modified "2023-10-16" @default.
- W3215616542 title "Quantile-Based Hydrological Modelling" @default.
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- W3215616542 doi "https://doi.org/10.3390/w13233420" @default.
- W3215616542 hasPublicationYear "2021" @default.
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