[HTML][HTML] Sources of hydrological model uncertainties and advances in their analysis

E Moges, Y Demissie, L Larsen, F Yassin - Water, 2021 - mdpi.com
Water | Free Full-Text | Review: Sources of Hydrological Model Uncertainties and Advances
in Their Analysis Next Article in Journal Assessing the Influence of Compounding Factors to …

A review of hydrologic signatures and their applications

HK McMillan - Wiley Interdisciplinary Reviews: Water, 2021 - Wiley Online Library
Hydrologic signatures are quantitative metrics or indices that describe statistical or
dynamical properties of hydrologic data series, primarily streamflow. Hydrologic signatures …

Time to update the split‐sample approach in hydrological model calibration

H Shen, BA Tolson, J Mai - Water Resources Research, 2022 - Wiley Online Library
Abstract Model calibration and validation are critical in hydrological model robustness
assessment. Unfortunately, the commonly used split‐sample test (SST) framework for data …

Global‐scale regionalization of hydrologic model parameters

HE Beck, AIJM van Dijk, A De Roo… - Water Resources …, 2016 - Wiley Online Library
Current state‐of‐the‐art models typically applied at continental to global scales (hereafter
called macroscale) tend to use a priori parameters, resulting in suboptimal streamflow (Q) …

Goodness-of-fit criteria for hydrological models: Model calibration and performance assessment

D Althoff, LN Rodrigues - Journal of Hydrology, 2021 - Elsevier
This study provides guidelines for the selection of proper goodness-of-fit criteria for the
calibration and evaluation of hydrological models. Popular goodness-of-fit criteria and good …

Improving the predictive skill of a distributed hydrological model by calibration on spatial patterns with multiple satellite data sets

M Dembélé, M Hrachowitz… - Water resources …, 2020 - Wiley Online Library
Hydrological model calibration combining Earth observations and in situ measurements is a
promising solution to overcome the limitations of the traditional streamflow‐only calibration …

[HTML][HTML] On the choice of calibration metrics for “high-flow” estimation using hydrologic models

N Mizukami, O Rakovec, AJ Newman… - Hydrology and Earth …, 2019 - hess.copernicus.org
Calibration is an essential step for improving the accuracy of simulations generated using
hydrologic models. A key modeling decision is selecting the performance metric to be …

HESS Opinions: The complementary merits of competing modelling philosophies in hydrology

M Hrachowitz, MP Clark - Hydrology and Earth System …, 2017 - hess.copernicus.org
In hydrology, two somewhat competing philosophies form the basis of most process-based
models. At one endpoint of this continuum are detailed, high-resolution descriptions of small …

[HTML][HTML] Hydrologically informed machine learning for rainfall–runoff modelling: towards distributed modelling

HMVV Herath, J Chadalawada… - Hydrology and Earth …, 2021 - hess.copernicus.org
Despite showing great success of applications in many commercial fields, machine learning
and data science models generally show limited success in many scientific fields, including …

Global evaluation of runoff from 10 state-of-the-art hydrological models

HE Beck, AIJM Van Dijk, A De Roo… - Hydrology and Earth …, 2017 - hess.copernicus.org
Observed streamflow data from 966 medium sized catchments (1000–5000 km 2) around
the globe were used to comprehensively evaluate the daily runoff estimates (1979–2012) of …