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ZENODO
Software . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2022
License: CC BY
Data sources: Datacite
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Sampling-based uncertainty quantification methods

Authors: Mahya Hajihassanpour; Kesserwani, Georges; Pettersson, Per; Bellos, Vasilis;

Sampling-based uncertainty quantification methods

Abstract

An uncertainty quantification tool that is designed for flood modelling applications. It can be also easily extended for applications in any other disciplines. This tool is specially produced to conduct the research titled "Sampling-based uncertainty quantification methods for flood inundation modelling under multiple uncertain inputs: a comparative analysis".

Related Organizations
Keywords

Adaptive Stratified Sampling (ASS), Latin hypercube Sampling (LHS), Standard Monte Carlo (SMC), Quasi Monte Carlo (QMC), Haar Wavelet Expansion (HWE), Probablistic flood mdelling, Uncertainty quantification

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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1
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