A decade of Predictions in Ungauged Basins (PUB)—a review

M Hrachowitz, HHG Savenije, G Blöschl… - Hydrological sciences …, 2013 - Taylor & Francis
Abstract The Prediction in Ungauged Basins (PUB) initiative of the International Association
of Hydrological Sciences (IAHS), launched in 2003 and concluded by the PUB Symposium …

[PDF][PDF] Catchment scale hydrological modelling: A review of model types, calibration approaches and uncertainty analysis methods in the context of recent …

IG Pechlivanidis, BM Jackson, NR Mcintyre… - Global NEST …, 2011 - researchgate.net
In catchment hydrology, it is in practice impossible to measure everything we would like to
know about the hydrological system, mainly due to high catchment heterogeneity and the …

Generating ensemble streamflow forecasts: A review of methods and approaches over the past 40 years

M Troin, R Arsenault, AW Wood, F Brissette, JL Martel - 2021 - Wiley Online Library
Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …

Comparison of different efficiency criteria for hydrological model assessment

P Krause, DP Boyle, F Bäse - Advances in geosciences, 2005 - adgeo.copernicus.org
The evaluation of hydrologic model behaviour and performance is commonly made and
reported through comparisons of simulated and observed variables. Frequently …

Improvement of a parsimonious model for streamflow simulation

C Perrin, C Michel, V Andréassian - Journal of hydrology, 2003 - Elsevier
Hydrologists have been struggling over the past decades to improve rainfall-runoff models.
As a consequence, models proposed 20–30 years ago still keep evolving as progress is …

Can artificial intelligence and data-driven machine learning models match or even replace process-driven hydrologic models for streamflow simulation?: A case study …

T Kim, T Yang, S Gao, L Zhang, Z Ding, X Wen… - Journal of …, 2021 - Elsevier
With recent developments in computational techniques, Data-driven Machine Learning
Models (DMLs) have shown great potential in simulating streamflow and capturing the …

[HTML][HTML] Comparison of hydrological models for the assessment of water resources in a data-scarce region, the Upper Blue Nile River Basin

G Tegegne, DK Park, YO Kim - Journal of Hydrology: Regional Studies, 2017 - Elsevier
Abstract Study region The Lake Tana Basin (15,114 km 2) in Ethiopia, which is a source of
the Blue Nile River Basin. Study focus We assessed daily streamflow predictions by …

Towards a comprehensive assessment of model structural adequacy

HV Gupta, MP Clark, JA Vrugt… - Water Resources …, 2012 - Wiley Online Library
The past decade has seen significant progress in characterizing uncertainty in
environmental systems models, through statistical treatment of incomplete knowledge …

Flood management and a GIS modelling method to assess flood-hazard areas—a case study

NN Kourgialas, GP Karatzas - Hydrological Sciences Journal …, 2011 - Taylor & Francis
This paper presents a viable approach for flood management strategy in a river basin based
on the European Floods Directive. A reliable flood management plan has two …

Multi-model ensemble hydrologic prediction using Bayesian model averaging

Q Duan, NK Ajami, X Gao, S Sorooshian - Advances in water Resources, 2007 - Elsevier
Multi-model ensemble strategy is a means to exploit the diversity of skillful predictions from
different models. This paper studies the use of Bayesian model averaging (BMA) scheme to …