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Dataset . 2021
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Dataset . 2021
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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https://doi.org/10.5281/zenodo...
Dataset . 2021
License: CC BY
Data sources: Sygma
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Large ensemble climate modelling time series for the Rhine catchment, including drought2018 storylines

Authors: Van Der Wiel, Karin;

Large ensemble climate modelling time series for the Rhine catchment, including drought2018 storylines

Abstract

Dataset associated with Van der Wiel, Lenderink, De Vries (2021): Physical storylines of future European drought events like 2018 based on ensemble climate modelling, Weather and Climate Extremes, DOI 10.1016/j.wace.2021.100350. Large ensemble climate modelling time series for the Rhine catchment. The dataset contains three ensembles (present-day, pre-industrial + 2C-warming, pre-industrial + 3C-warming) of 2000 years each, various variables related to drought are included. All data is derived from the EC-Earth global climate model (v2, Hazeleger et al. 2012, DOI 10.1007/s00382-011-1228-5). Descriptions of large ensemble experimental setup can be found in Van der Wiel et al. (2019, DOI 10.1029/2019GL081967). Files: *_d_ECEarth_??_Rhine.tar.gz Additionally, three sets of storylines of droughts similar to the western European drought of 2018 are included. These are the simulated events selected from the large ensembles, using metrics 1, 2 and 3 of Van der Wiel et al. (2021, DOI 10.1016/j.wace.2021.100350). Files: drought18_m[123]_Rhine.tar.gz

Related Organizations
Keywords

Large ensembles, Extreme weather, Storylines, Climate change, Drought 2018

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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).
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.
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