Identifying spatio-temporal drivers of extreme events [data set]doi:10.60507/FK2/RD9E33bonndata2024-10-211Shams Eddin, Mohamad Hakam; Gall, Juergen, 2024, "Identifying spatio-temporal drivers of extreme events [data set]", https://doi.org/10.60507/FK2/RD9E33, bonndata, V1Identifying spatio-temporal drivers of extreme events [data set]doi:10.60507/FK2/RD9E33Shams Eddin, Mohamad HakamGall, Juergen2023-08-01SFB 1502/1–2022 – project no. 450058266bonndataShams Eddin, Mohamad HakamShams Eddin, Mohamad HakamShams Eddin, Mohamad2024-10-09Agricultural SciencesComputer and Information ScienceEarth and Environmental SciencesPhysicsAgricultural SciencesComputer and Information ScienceEarth and Environmental SciencesPhysicsThis data set allows to systematically evaluate approaches for the task of identifying extreme events in water cycle components by developing deep neural networks that detect anomalies and drivers of extremes in simulated data.CERRA sub-daily regional reanalysis data for Europe on single levels from 1984 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS): https://cds.climate.copernicus.eu/datasetsNOAA/NESDIS Center for Satellite Applications and Research: https://www.star.nesdis.noaa.gov/smcd/emb/vci/VH/index.phpERA5-Land hourly data from 1950 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS): https://cds.climate.copernicus.eu/datasets<a href="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</a>licence-to-use-copernicus-products.pdfapplication/pdfREADME.txttext/plainCERRA.7z.001 application/octet-streamCERRA.7z.002 application/octet-streamAFR-11.7z application/x-7z-compressedCAS-11.7z application/x-7z-compressedEAS-11.7z application/x-7z-compressedEUR-11.7z application/x-7z-compressedNAM-11.7z application/x-7z-compressedSAM-11.7z application/x-7z-compressedNOAA_CERRA.7z application/x-7z-compressedNOAA_CORDEX.7z application/x-7z-compressedSynthetic.7z application/x-7z-compressed