2020
DOI: 10.1007/s11269-020-02670-w
|View full text |Cite
|
Sign up to set email alerts
|

Quantification of Expected Changes in Peak Flow Quantiles in Climate Change by Combining Continuous Hydrological Modelling with the Modified Curve Number Method

Abstract: Climate projections point to modifications in the magnitude, frequency and timing of floods in the future. However, robust methodologies to quantify how climate change will modify the catchment response in flood events are required. Continuous hydrological modelling usually smooth magnitudes of extreme events. This paper proposes a methodology to improve the assessment of flood changes in the future driven by climate change. Climate change projections of the EURO-CORDEX programme obtained under the Fifth Asses… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
5
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 10 publications
(5 citation statements)
references
References 43 publications
0
5
0
Order By: Relevance
“…It is currently adapted to conditions in other parts of the world. Although some researchers have developed various modifications (Soriano et al, 2020), the basic concept behind the method is still widely used. According to Adornado and Yoshida (2010), Moretti and Montanari (2008), Soulis and Valiantzas (2012), and Mishra and Singh (2004), this method has become an inseparable part of many simulation models.…”
Section: Estimation Of a Design Flood Using The Scs-cn Methodologymentioning
confidence: 99%
“…It is currently adapted to conditions in other parts of the world. Although some researchers have developed various modifications (Soriano et al, 2020), the basic concept behind the method is still widely used. According to Adornado and Yoshida (2010), Moretti and Montanari (2008), Soulis and Valiantzas (2012), and Mishra and Singh (2004), this method has become an inseparable part of many simulation models.…”
Section: Estimation Of a Design Flood Using The Scs-cn Methodologymentioning
confidence: 99%
“…A recent study [52] assessed nine different objective functions to better reproduce extremes; however, none of these applied higher weights to more relevant observations. Additionally, previous work [53] has considered bias correction to improve FFC derived through continuous simulation, and also used the fit between the observed and simulated FFC to calibrate the bias correction. However, maximization of KGE' directly and exclusively on AMAX pairs could reduce or eliminate the need for FFC corrections.…”
Section: Lumped Sub-catchment Modeling (Optimizing Amax Performance O...mentioning
confidence: 99%
“…All this further highlights the need to develop methodologies that reduce the uncertainty in the flood estimates, especially those associated with a low probability of occurrence. Generally, most of the studies currently carried out to estimate future flood quantiles are broadly based on the use of the available products from Global Circulation Models (GCMs), downscaling the outputs of these to finer scales and obtaining the flow series through an HM (e.g., [13][14][15]). Downscaling methods to obtain observed small-scale variables and those from GCMs can be based on the use of either RCMs, analog methods (circulation typing), regression analysis, or neural network methods [16].…”
Section: Introductionmentioning
confidence: 99%