Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
DIGITAL.CSIC
Dataset . 2024
Data sources: Datacite
versions View all 3 versions
addClaim

Ground records and spatial fields of the 2024/10/29 extreme precipitation event in Valencia, Spain [Dataset]

Registros a nivel del suelo y distribución espacial del evento de precipitación extrema del día 29/10/2024 en Valencia, España [Conjunto de datos]
Authors: Beguería, Santiago; Azorín Molina, César; Vicente Serrano, Sergio M.;

Ground records and spatial fields of the 2024/10/29 extreme precipitation event in Valencia, Spain [Dataset]

Abstract

Dos conjuntos de archivos: 1) en formato de texto (.csv), conteniendo los registros de precipitación en las redes de AEMET, CHJ, AVAMET y SISRITEL y de la estación meteorológica del Ayuntamiento de Torrent; 2) en formato netCDF (.nc), conteniendo interpolaciones espaciales de los campos de precipitación. Listado complete de archivos: valencia_daily.csv (observaciones de precipitación acumulada diaria); valencia_hourly.csv (observaciones de precipitación acumulada horaria); valencia_daily.nc (campo de precipitación diaria); valencia_hourly_acumulated.nc (campos de precipitación horaria acumulada); valencia_hourly.nc (campos de precipitación horaria); valencia_hourly_intensities.nc (campos de máxima intensidad de precipitación horaria).

Two sets of files: 1) in text format (.csv), containing precipitation records from the AEMET, CHJ, AVAMET and SISRITEL networks and meteorological station of the Torrent city council; 2) in netCDF format (.nc), containing spatial interpolations of precipitation fields. Complete list of files: **valencia_daily.csv** (daily accumulated precipitation observations); **valencia_hourly.csv** (hourly accumulated precipitation observations); **valencia_daily.nc** (daily precipitation field); **valencia_hourly_acumulated.nc** (hourly accumulated precipitation fields); **valencia_hourly.nc** (hourly precipitation fields); **valencia_hourly_intensities.nc** (fields of maximum hourly precipitation intensity).

Reconstrucción espacio-temporal de la precipitación registrada durante el evento del 29 de octubre de 2024 en la provincia de Valencia. El proceso de reconstrucción constó de dos fases: 1) Recopilación y curado de registros de precipitación obtenidos en distintas redes de monitorización climática. 2) Interpolación espacial de campos de precipitación acumulada e intensidades máximas con distintos intervalos temporales. El conjunto de datos incluye tanto las observaciones registradas en las redes de monitorización como los campos espaciales interpolados.

Spatio-temporal reconstruction of precipitation recorded during the event of October 29, 2024, in the province of Valencia. The reconstruction process consisted of two phases: 1) Collection and curation of precipitation records obtained from various climate monitoring networks. 2) Spatial interpolation of accumulated precipitation fields and maximum intensities at different temporal intervals. The dataset includes both the observations recorded by the monitoring networks and the interpolated spatial fields.

.csv and .nc archives

No sponsors.

No

Country
Spain
Related Organizations
Keywords

Take urgent action to combat climate change and its impacts, Climatic maps, Spain, Climatic data, Climate, Extreme precipitation event, DANA, http://metadata.un.org/sdg/13, Valencia

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average