scholarly journals Behind every robust result is a robust method: Perspectives from a case study and publication process in hydrological modelling

2021 ◽  
Author(s):  
Fabrizio Fenicia ◽  
Dmitri Kavetski
Keyword(s):  
Hydrological Modelling ◽  
Robust Method ◽  
Publication Process ◽  
Robust Result

scholarly journals Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin

2016 ◽  
Vol 8 (4) ◽  
pp. 279 ◽  
Author(s):  
Gijs Simons ◽  
Wim Bastiaanssen ◽  
Le Ngô ◽  
Christopher Hain ◽  
Martha Anderson ◽  
...  
Keyword(s):  
River Basin ◽  
Hydrological Modelling ◽  
Red River ◽  
Red River Basin ◽  
Data Products ◽  
Modelling Studies ◽  
Derived Data

Hydrological modelling with SWAT under conditions of limited data availability: evaluation of results from a Chilean case study

2008 ◽  
Vol 53 (3) ◽  
pp. 588-601 ◽  
Author(s):  
ALEJANDRA STEHR ◽  
PATRICK DEBELS ◽  
FRANCISCO ROMERO ◽  
HERNAN ALCAYAGA
Keyword(s):  
Hydrological Modelling ◽  
Data Availability ◽  
Limited Data

Re-initiating depth-discharge monitoring in small-sized ungauged watersheds by combining remote sensing and hydrological modelling: a case study in Madagascar

2020 ◽  
Vol 65 (16) ◽  
pp. 2709-2728
Author(s):  
Johary Andriamihaja Andriambeloson ◽  
Adrien Paris ◽  
Stéphane Calmant ◽  
Solofo Rakotondraompiana
Keyword(s):  
Remote Sensing ◽  
Hydrological Modelling ◽  
Discharge Monitoring ◽  
Ungauged Watersheds

scholarly journals Identification of uncertainty sources in distributed hydrological modelling: Case study of the Grote Nete catchment in Belgium

Water SA ◽  
2019 ◽  
Vol 33 (5) ◽  
Author(s):  
Mark Henry Rubarenzya ◽  
Patrick Willems ◽  
Jean Berlamont
Keyword(s):  
Hydrological Modelling ◽  
Uncertainty Sources ◽  
Distributed Hydrological Modelling

Hydrological modelling uncertainty analysis for different flow quantiles: a case study in two hydro-geographically different watersheds

2019 ◽  
Vol 64 (4) ◽  
pp. 473-489 ◽  
Author(s):  
Getachew Tegegne ◽  
Young-Oh Kim ◽  
Seung Beom Seo ◽  
Youngil Kim
Keyword(s):  
Uncertainty Analysis ◽  
Hydrological Modelling ◽  
Modelling Uncertainty

scholarly journals The search for orthogonal hydrological modelling metrics: a case study of 20 monitoring stations in Colombia

2010 ◽  
Vol 13 (3) ◽  
pp. 429-442 ◽  
Author(s):  
E. Domínguez ◽  
C. W. Dawson ◽  
A. Ramírez ◽  
R. J. Abrahart
Keyword(s):  
Ideal Point ◽  
Principal Component ◽  
Hydrological Modelling ◽  
Operational Performance ◽  
Single Measure ◽  
Explained Variance ◽  
Surrogate Measure ◽  
Hydrological Monitoring ◽  
Monitoring Stations

This paper presents a Colombian-based study on hydrological modelling metrics, arguing that redundancies and overlap in statistical assessment can be resolved using principal component analysis. Numerous statistical scores for optimal operator water level models developed at 20 hydrological monitoring stations, producing daily, weekly and ten-day forecasts, are first reduced to a set of five composite orthogonal metrics that are not interdependent. Each orthogonal component is next replaced by a single surrogate measure, selected from a set of several original metrics that are strongly related to it, and that in overall terms delivered limited losses with regard to ‘explained variance’. The surrogates are thereafter amalgamated to construct a single measure of assessment based on Ideal Point Error. Depending on the forecast period, the use of three or four traditional metrics to deliver a combined evaluation vector, is the minimum recommended set of scores that is needed for analysis to establish the operational performance at a particular station in the gauging network under test.

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