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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
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
Dataset . 2018
License: CC BY
Data sources: Datacite
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Human And Economic Losses From River Flooding With Anthropogenic Warming

Authors: Dottori, Francesco; Szewczyk, Wojciech; Ciscar, Juan-Carlos; Zhao, Fang; Alfieri, Lorenzo; Hirabayashi, Yukiko; Bianchi, Alessandra; +4 Authors

Human And Economic Losses From River Flooding With Anthropogenic Warming

Abstract

This repository contains the data set derived from a modelling framework developed to evaluate present and future impacts from river flooding and described in the scientific paper "Increased Human and economic losses from river flooding with anthropogenic warming", published in Nature Climate Change. The repository contains the following data, for more details please refer to the "readme.doc" file. Static and dynamic exposure maps (land use, economic variables, population distribution) global distributed maps of economic damage from river flooding for the present and future periods. Maps are provided for each model realization (i.e. combination of a global climate model and a global hydrological model) global maps of population affected by river flooding for the present and future periods, computed with current socioeconomic conditions and with SSP3 and SSP5 population projections. Maps are provided for each model realization tables of socio-economic impacts (fatalities, mortality rates, economic losses, population exposed) aggregated per continents, macro-regions and countries. Tables are provided for each model realization Tables of the variables used as input data in the impact assessment procedure

The research leading to these results has received funding from the European Union Seventh ramework Programme FP7/2007-2013 under grant agreement no 603864 (HELIX: High-End cLimate Impacts and eXtremes; www.helixclimate.eu). Y.H. received the Global Environmental Research Fund (S-14) by Japan Ministry of Environment. The authors further thank Munich Re for access to the NatCatSERVICE database and the Centre for Research on the Epidemiology of Disasters for access to the Emergency Events Database.

{"references": ["Dottori F., Szewczyk W., Ciscar J.C., Zhao F., Alfieri L., Hirabayashi Y., Bianchi A., Mongelli I., Frieler K., Betts R.A., Feyen L. Increased human and economic losses from river flooding with anthropogenic warming. Nature Climate Change, 2018."]}

Keywords

flooding

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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
downloads
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1
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