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'
Download
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)
Thumbnail
Open access
ccbyncnd
Creator
Zeder, Joelcc
Fischer, Erichcc
Date
2023-11-21
Type
    Data Collection
Rights / license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Permanent link
https://doi.org/10.3929/ethz-b-000642891
Contributors
Producer: Zeder, Joelcc
Project leader: Fischer, Erichcc
Publisher
ETH Zurich
Software
The respective software is hosted on https://git.iac.ethz.ch/climphys/climate-extremes/disaster-gaps
Subject
Extreme precipitation; Extreme value statistics; Waiting time
Organisational unit
03777 - Knutti, Reto / Knutti, Reto  
Funding
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)
Related publications and datasets
More
Show all metadata
ETH Bibliography
yes
Altmetrics