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Software . 2023
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SCORE D3.5- Package for the statistical analysis tools for urban-scale hazards

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 23 May 2023Publisher:ZenodoFunded by:EC | SCORE
Authors: Anton, Iulia; Nalakurthi, Sudha-Rani; Paranunzio, Roberta; Bendoni, Michele; Caparrini, Francesca; Gharbia, Salem; Ortolani, Alberto; +3 Authors

doi: 10.5281/zenodo.8034107 , 10.5281/zenodo.7962767

SCORE D3.5- Package for the statistical analysis tools for urban-scale hazards

Abstract

This document is a deliverable of the SCORE project, funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101003534. The aim of this document is to develop a set of local-scale analysis tools to help analyse historical data and projections related to coastal flooding, extreme weather events, and other hazards. These tools will be used to estimate the trends in parameters of interest, identify suitable distributions and return periods and group homogeneous conditions. A detailed explanation of how to use the tools and data produced by D3.5 is provided by D3.6.

The deliverable D3.6 will be available on the SCORE website: https://score-eu-project.eu/deliverables/.

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Keywords

data clustering, block maxima, significant wave heights, weather circulation, return level, return period, river discharge, peak over threshold

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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).
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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.
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