Glacio‐hydrological model calibration and evaluation
M van Tiel, K Stahl, D Freudiger… - Wiley Interdisciplinary …, 2020 - Wiley Online Library
Glaciers are essential for downstream water resources. Hydrological modeling is necessary
for a better understanding and for future projections of the water resources in these rapidly …
for a better understanding and for future projections of the water resources in these rapidly …
The robustness of conceptual rainfall-runoff modelling under climate variability–A review
Conceptual rainfall-runoff (CRR) models are widely used tools in climate change impact
studies. However, the assumption that hydroclimate variables are stationary is no longer …
studies. However, the assumption that hydroclimate variables are stationary is no longer …
A dynamic land use/land cover input helps in picturing the Sahelian paradox: Assessing variability and attribution of changes in surface runoff in a Sahelian watershed
In Sahelian landscapes, land use/land cover (LULC) dynamics and climate variability are
already known to affect the water cycle. In its current practice however, hydrological …
already known to affect the water cycle. In its current practice however, hydrological …
Simulating runoff under changing climatic conditions: Revisiting an apparent deficiency of conceptual rainfall‐runoff models
Hydrologic models have potential to be useful tools in planning for future climate variability.
However, recent literature suggests that the current generation of conceptual rainfall runoff …
However, recent literature suggests that the current generation of conceptual rainfall runoff …
The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS …
G Ayzel, M Heistermann - Computers & Geosciences, 2021 - Elsevier
We systematically explore the effect of calibration data length on the performance of a
conceptual hydrological model, GR4H, in comparison to two Artificial Neural Network (ANN) …
conceptual hydrological model, GR4H, in comparison to two Artificial Neural Network (ANN) …
Human impact parameterizations in global hydrological models improve estimates of monthly discharges and hydrological extremes: a multi-model validation study
TIE Veldkamp, F Zhao, PJ Ward… - Environmental …, 2018 - iopscience.iop.org
Human activity has a profound influence on river discharges, hydrological extremes and
water-related hazards. In this study, we compare the results of five state-of-the-art global …
water-related hazards. In this study, we compare the results of five state-of-the-art global …
Analysis of high streamflow extremes in climate change studies: how do we calibrate hydrological models?
Climate change impact studies on hydrological extremes often rely on hydrological models
with parameters inferred through calibration procedures using observed meteorological data …
with parameters inferred through calibration procedures using observed meteorological data …
Panta Rhei 2013–2015: global perspectives on hydrology, society and change
ABSTRACT In 2013, the International Association of Hydrological Sciences (IAHS) launched
the hydrological decade 2013–2022 with the theme “Panta Rhei: Change in Hydrology and …
the hydrological decade 2013–2022 with the theme “Panta Rhei: Change in Hydrology and …
Improving the realism of hydrologic model functioning through multivariate parameter estimation
Increased availability and quality of near real‐time observations provide the opportunity to
improve understanding of predictive skills of hydrologic models. Recent studies have shown …
improve understanding of predictive skills of hydrologic models. Recent studies have shown …
Improved rainfall‐runoff calibration for drying climate: Choice of objective function
It has been widely shown that rainfall‐runoff models often provide poor and biased
simulations after a change in climate, but evidence suggests existing models may be …
simulations after a change in climate, but evidence suggests existing models may be …