Human-induced climate change amplification on storm dynamics in Valencia’s 2024 catastrophic flash flood

[Data availability] The following GCM data sets used in this study are available through the CMIP6 repository (https://esgf-node.llnl.gov/projects/cmip6/). ERA5 reanalysis is available from the Copernicus Climate Change Service Climate Data Store87 (https://doi.org/10.24381/cds.bd0915c6). Meteosat S...

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Detalles Bibliográficos
Autores: Calvo-Sancho, Carlos, Díaz-Fernández, Javier, González-Alemán, Juan J., Halifa-Marín, Amar, Miglietta, Mario Marcello, Azorín-Molina, César, Prein, Andreas F, Montoro-Mendoza, Ana, Bolgiani, Pedro, Morata, Ana, Martín, María Luisa
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2026
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/424779
Acceso en línea:http://hdl.handle.net/10261/424779
https://api.elsevier.com/content/abstract/scopus_id/105030357453
Access Level:acceso abierto
Palabra clave:Atmospheric dynamics
Attribution
Descripción
Sumario:[Data availability] The following GCM data sets used in this study are available through the CMIP6 repository (https://esgf-node.llnl.gov/projects/cmip6/). ERA5 reanalysis is available from the Copernicus Climate Change Service Climate Data Store87 (https://doi.org/10.24381/cds.bd0915c6). Meteosat Second Generation data is available from the EUMETSAT Store (https://data.eumetsat.int/) and the EUMDAC Python package (https://gitlab.eumetsat.int/eumetlab/data-services/eumdac). Shapefile data used in this work is available from the GADM data (https://gadm.org/download_country.html). PGW increments were performed using PGWERA5 v1.196, which can be downloaded from a Github repository (https://github.com/Potopoles/PGW4ERA5.git). Numerical simulations were performed using WRFV4.5, which can be downloaded from the UCAR Github repository (https://github.com/wrf-model/WRF.git). WRF namelists used to generate all the simulations are available in https://github.com/ccalvosa/dana_vlc_attribution. The analysis and visualization scripts will be available in a Github repository upon a reasonable request to the corresponding author.