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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Synthetic Tropical Cyclones for Risk Assessment

Authors: Yang, Chi;

Synthetic Tropical Cyclones for Risk Assessment

Abstract

One-thousand-year worth of synthetic tropical cyclones (TCs) over the North Atlantic and western North Pacific basins, respectively, for risk assessment. TC data are generated via the multivariate functional principal component analysis (MFPCA) approach. This dataset is used for peer review of the paper submitted to ESS. This study has been supported in part by the National Natural Science Foundation of China under Grant 41875057, 41675044 and 41730960.

File format: NetCDF

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Keywords

risk assessment, tropical cyclones, multivariate functional principal component analysis

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selected citations
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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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