[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 …

Groundwater vulnerability assessment: A review including new statistical and hybrid methods

N Taghavi, RK Niven, DJ Paull, M Kramer - Science of the Total …, 2022 - Elsevier
The concept of groundwater vulnerability was first introduced in the 1970s in France to
recognize sensitive areas in which surface pollution could affect groundwater, and to enable …

Development of a Bayesian-copula-based frequency analysis method for hydrological risk assessment–The Naryn River in Central Asia

YR Liu, YP Li, Y Ma, QM Jia, YY Su - Journal of Hydrology, 2020 - Elsevier
Copula functions are widely used in multivariate hydrological risk assessment. Incorporation
of uncertainty analysis within copula functions can improve the degree of reliability to risk …

Bayesian model calibration using surrogate streamflow in ungauged catchments

HN Yoon, L Marshall, A Sharma… - Water Resources …, 2022 - Wiley Online Library
We present a novel approach for modeling streamflow in ungauged catchments. Because of
their widespread availability and global coverage, remotely sensed data provide an …

Characterizing Errors Using Satellite Metadata for Eco‐Hydrological Model Calibration

H Zou, L Marshall, A Sharma - Water Resources Research, 2023 - Wiley Online Library
Understanding the origins of errors between model predictions and catchment observations
is a critical element in hydrologic model calibration and uncertainty estimation. Difficulties …

Modelling daily transmission losses in basin‐scale river system models under changing hydrological regimes

SSH Kim, JD Hughes, LA Marshall… - Hydrological …, 2022 - Wiley Online Library
With rising concerns for water security and increasing interest in water resource
development, accounting for river transmission losses in arid/semi‐arid region water …

[HTML][HTML] Comparing the hydrological responses of conceptual and process-based models with varying rain gauge density and distribution

Z Yin, W Liao, X Lei, H Wang, R Wang - Sustainability, 2018 - mdpi.com
Precipitation provides the most crucial input for hydrological modeling. However, rain gauge
networks, the most common precipitation measurement mechanisms, are sometimes sparse …

Improving the simulation of permanent grasslands across Germany by using multi-objective uncertainty-based calibration of plant-water dynamics

B Kamali, T Stella, M Berg-Mohnicke, J Pickert… - European Journal of …, 2022 - Elsevier
The dynamics of grassland ecosystems are highly complex due to multifaceted interactions
among their soil, water, and vegetation components. Precise simulations of grassland …

The role of floodplain topography in deriving basin discharge using passive microwave remote sensing

S Kim, A Sharma - Water Resources Research, 2019 - Wiley Online Library
Discharge measurements are essential for a range of hydrologic applications. In situ
observations, however, are seldom available. Whereas satellite remote sensing offers a …

Understanding the role of hydrologic model structures on evapotranspiration-driven sensitivity

DI Jayathilake, T Smith - Hydrological Sciences Journal, 2020 - Taylor & Francis
Most conceptual hydrological models do not treat vegetation as a dynamic component. This
study focuses on understanding the impact of model structural complexity on the sensitivity …