@article{Grimaldi-2022-Continuous,
title = "Continuous hydrologic modelling for small and ungauged basins: A comparison of eight rainfall models for sub-daily runoff simulations",
author = "Grimaldi, Salvatore and
Volpi, Elena and
Langousis, Andreas and
Papalexiou, S. and
Luca, Davide Luciano De and
Piscopia, Rodolfo and
Nerantzaki, Sofia D. and
Papacharalampous, Georgia and
Petroselli, Andrea",
journal = "Journal of Hydrology, Volume 610",
volume = "610",
year = "2022",
publisher = "Elsevier BV",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G22-57001",
doi = "10.1016/j.jhydrol.2022.127866",
pages = "127866",
abstract = "{\mbox{$\bullet$}} Eight rainfall models are compared as input for a simplified continuous hydrologic model. {\mbox{$\bullet$}} The comparison is performed by investigating the simulated runoff properties. {\mbox{$\bullet$}} Results suggest that all rainfall models lead to realistic runoff time series. {\mbox{$\bullet$}} Four models will be further optimized to be adapted for data-scarce applications. Continuous hydrologic modelling is a natural evolution of the event-based design approach in modern hydrology. It improves the rainfall-runoff transformation and provides the practitioner with more effective hydrological output information for risk assessment. However, this approach is still not widely adopted, mainly because the choice of the most appropriate rainfall simulation model (which is the core of continuous frameworks) for the specific aim of risk analysis has not been sufficiently investigated. In this paper, we test eight rainfall models by evaluating the performances of the simulated rainfall time series when used as input for a simplified continuous rainfall-runoff model, the COSMO4SUB, which is particularly designed for small and ungauged basins. The comparison confirms the capability of all models to provide realistic flood events and allows identifying the models to be further improved and tailored for data-scarce hydrological risk applications. The suggested framework is transferable to any catchment while different hydrologic and rainfall models can be used.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="Grimaldi-2022-Continuous">
<titleInfo>
<title>Continuous hydrologic modelling for small and ungauged basins: A comparison of eight rainfall models for sub-daily runoff simulations</title>
</titleInfo>
<name type="personal">
<namePart type="given">Salvatore</namePart>
<namePart type="family">Grimaldi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Elena</namePart>
<namePart type="family">Volpi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Andreas</namePart>
<namePart type="family">Langousis</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">S</namePart>
<namePart type="family">Papalexiou</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Davide</namePart>
<namePart type="given">Luciano</namePart>
<namePart type="given">De</namePart>
<namePart type="family">Luca</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Rodolfo</namePart>
<namePart type="family">Piscopia</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sofia</namePart>
<namePart type="given">D</namePart>
<namePart type="family">Nerantzaki</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Georgia</namePart>
<namePart type="family">Papacharalampous</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Andrea</namePart>
<namePart type="family">Petroselli</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2022</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<genre authority="bibutilsgt">journal article</genre>
<relatedItem type="host">
<titleInfo>
<title>Journal of Hydrology, Volume 610</title>
</titleInfo>
<originInfo>
<issuance>continuing</issuance>
<publisher>Elsevier BV</publisher>
</originInfo>
<genre authority="marcgt">periodical</genre>
<genre authority="bibutilsgt">academic journal</genre>
</relatedItem>
<abstract>\bullet Eight rainfall models are compared as input for a simplified continuous hydrologic model. \bullet The comparison is performed by investigating the simulated runoff properties. \bullet Results suggest that all rainfall models lead to realistic runoff time series. \bullet Four models will be further optimized to be adapted for data-scarce applications. Continuous hydrologic modelling is a natural evolution of the event-based design approach in modern hydrology. It improves the rainfall-runoff transformation and provides the practitioner with more effective hydrological output information for risk assessment. However, this approach is still not widely adopted, mainly because the choice of the most appropriate rainfall simulation model (which is the core of continuous frameworks) for the specific aim of risk analysis has not been sufficiently investigated. In this paper, we test eight rainfall models by evaluating the performances of the simulated rainfall time series when used as input for a simplified continuous rainfall-runoff model, the COSMO4SUB, which is particularly designed for small and ungauged basins. The comparison confirms the capability of all models to provide realistic flood events and allows identifying the models to be further improved and tailored for data-scarce hydrological risk applications. The suggested framework is transferable to any catchment while different hydrologic and rainfall models can be used.</abstract>
<identifier type="citekey">Grimaldi-2022-Continuous</identifier>
<identifier type="doi">10.1016/j.jhydrol.2022.127866</identifier>
<location>
<url>https://gwf-uwaterloo.github.io/gwf-publications/G22-57001</url>
</location>
<part>
<date>2022</date>
<detail type="volume"><number>610</number></detail>
<detail type="page"><number>127866</number></detail>
</part>
</mods>
</modsCollection>
%0 Journal Article
%T Continuous hydrologic modelling for small and ungauged basins: A comparison of eight rainfall models for sub-daily runoff simulations
%A Grimaldi, Salvatore
%A Volpi, Elena
%A Langousis, Andreas
%A Papalexiou, S.
%A Luca, Davide Luciano De
%A Piscopia, Rodolfo
%A Nerantzaki, Sofia D.
%A Papacharalampous, Georgia
%A Petroselli, Andrea
%J Journal of Hydrology, Volume 610
%D 2022
%V 610
%I Elsevier BV
%F Grimaldi-2022-Continuous
%X \bullet Eight rainfall models are compared as input for a simplified continuous hydrologic model. \bullet The comparison is performed by investigating the simulated runoff properties. \bullet Results suggest that all rainfall models lead to realistic runoff time series. \bullet Four models will be further optimized to be adapted for data-scarce applications. Continuous hydrologic modelling is a natural evolution of the event-based design approach in modern hydrology. It improves the rainfall-runoff transformation and provides the practitioner with more effective hydrological output information for risk assessment. However, this approach is still not widely adopted, mainly because the choice of the most appropriate rainfall simulation model (which is the core of continuous frameworks) for the specific aim of risk analysis has not been sufficiently investigated. In this paper, we test eight rainfall models by evaluating the performances of the simulated rainfall time series when used as input for a simplified continuous rainfall-runoff model, the COSMO4SUB, which is particularly designed for small and ungauged basins. The comparison confirms the capability of all models to provide realistic flood events and allows identifying the models to be further improved and tailored for data-scarce hydrological risk applications. The suggested framework is transferable to any catchment while different hydrologic and rainfall models can be used.
%R 10.1016/j.jhydrol.2022.127866
%U https://gwf-uwaterloo.github.io/gwf-publications/G22-57001
%U https://doi.org/10.1016/j.jhydrol.2022.127866
%P 127866
Markdown (Informal)
[Continuous hydrologic modelling for small and ungauged basins: A comparison of eight rainfall models for sub-daily runoff simulations](https://gwf-uwaterloo.github.io/gwf-publications/G22-57001) (Grimaldi et al., GWF 2022)
ACL
- Salvatore Grimaldi, Elena Volpi, Andreas Langousis, S. Papalexiou, Davide Luciano De Luca, Rodolfo Piscopia, Sofia D. Nerantzaki, Georgia Papacharalampous, and Andrea Petroselli. 2022. Continuous hydrologic modelling for small and ungauged basins: A comparison of eight rainfall models for sub-daily runoff simulations. Journal of Hydrology, Volume 610, 610:127866.
