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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Data supporting: "Trends in Europe storm surge extremes match the rate of sea-level rise"

Authors: Calafat, Francisco M.; Wahl, Thomas; Tadesse, Michael G.; Sparrow, Sarah;

Data supporting: "Trends in Europe storm surge extremes match the rate of sea-level rise"

Abstract

Data supporting the paper: Calafat, F. M., T. Wahl, M. G. Tadesse, & S. Sparrow. Trends in Europe storm surge extremes match the rate of sea-level rise. Nature 603, 841-845. Please cite the paper above when using this data set. Data description: Bayesian_solutions_historical_total.nc: Bayesian estimates (posterior draws) of the GEV parameters, including trends in the GEV location parameter, at both tide gauge sites and prediction locations. This file also contains the observed surge annual maxima from tide gauge records on which these estimates are conditioned. Bayesian_solutions_historical_contributions.nc: Bayesian estimates (posterior draws) of the contributions from external forcing and internal climate variability to the trends in the GEV location parameter. Surge_annual_max_ensemble.nc: ensemble of surge annual maxima used to extract the pattern of response to external forcing.

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Keywords

Storm surge extremes, attribution

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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.
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influence
This indicator 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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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