Decadal to centennial extreme precipitation disaster gaps - long-term variability and implications for extreme value modelling

Dataset for the corresponding publication in 'Weather and Climate Extremes'
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CESM2LE_WT_results.RData (R Data, 17.01Mb)
CESM2LE_metadata.RData (R Data, 4.023Mb)
CESM2pictl_WT_results.RData (R Data, 1.193Mb)
CESM2LE_NWEU_Rx1d_gevfit_data.RData (R Data, 286.7Mb)
IPCC-WGI-reference-regions-v4_R.rda (R Data, 117.7Kb)
CESM2LE_Rx1d_SREXsel_data.RData (R Data, 2.070Gb)
UKCP_NWEU_Rx1d_gevfit_data.RData (R Data, 103.6Mb)
README (Unknown, 4.278Kb)
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Open access
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Produzent(in)
Zeder, Joelcc
Fischer, Erichcc
Datum
2023-11-21
Typ
    Data Collection
Rechte / Lizenz
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Persistenter Link
https://doi.org/10.3929/ethz-b-000642891
Beteiligte
Produzent(in): Zeder, Joelcc
Projektleiter(in): Fischer, Erichcc
Verlag
ETH Zurich
Software
The respective software is hosted on https://git.iac.ethz.ch/climphys/climate-extremes/disaster-gaps
Thema
Extreme precipitation; Extreme value statistics; Waiting time
Organisationseinheit
03777 - Knutti, Reto / Knutti, Reto  
Förderung
178778 - Understanding and quantifying the occurrence of very rare climate extremes in a changing climate (SNF)
101003469 - EXTREME EVENTS: ARTIFICIAL INTELLIGENCE FOR DETECTION AND ATTRIBUTION (EC)
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