SPEIbase v.2.6 [Dataset]

The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. Th...

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Detalles Bibliográficos
Autores: Beguería, Santiago, Vicente Serrano, Sergio M., Reig-Gracia, Fergus, Latorre Garcés, Borja
Tipo de recurso: conjunto de datos
Fecha de publicación:2020
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/202305
Acceso en línea:http://hdl.handle.net/10261/202305
https://doi.org/10.20350/digitalCSIC/15555
Access Level:acceso abierto
Palabra clave:SPEI
Drought
Precipitation
Standardized Precipitation-Evapotranspiration Index
Drought Index
Evapotranspiration
Global Warming
Global data
Climate change
Climate data
Climatology
http://aims.fao.org/aos/agrovoc/c_2391
http://aims.fao.org/aos/agrovoc/c_2741
http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
drought
evapotranspiration
global warming
climate change
climate services
meteorological observations
id ES_bd0f830c82e89b3ee37d37f2d17fedaf
oai_identifier_str oai:digital.csic.es:10261/202305
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv SPEIbase v.2.6 [Dataset]
title SPEIbase v.2.6 [Dataset]
spellingShingle SPEIbase v.2.6 [Dataset]
Beguería, Santiago
SPEI
Drought
Precipitation
Standardized Precipitation-Evapotranspiration Index
Drought Index
Evapotranspiration
Global Warming
Global data
Climate change
Climate data
Climatology
http://aims.fao.org/aos/agrovoc/c_2391
http://aims.fao.org/aos/agrovoc/c_2741
http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
drought
evapotranspiration
global warming
climate change
climate services
meteorological observations
title_short SPEIbase v.2.6 [Dataset]
title_full SPEIbase v.2.6 [Dataset]
title_fullStr SPEIbase v.2.6 [Dataset]
title_full_unstemmed SPEIbase v.2.6 [Dataset]
title_sort SPEIbase v.2.6 [Dataset]
dc.creator.none.fl_str_mv Beguería, Santiago
Vicente Serrano, Sergio M.
Reig-Gracia, Fergus
Latorre Garcés, Borja
author Beguería, Santiago
author_facet Beguería, Santiago
Vicente Serrano, Sergio M.
Reig-Gracia, Fergus
Latorre Garcés, Borja
author_role author
author2 Vicente Serrano, Sergio M.
Reig-Gracia, Fergus
Latorre Garcés, Borja
author2_role author
author
author
dc.contributor.none.fl_str_mv Beguería, Santiago [0000-0002-3974-2947]
Vicente Serrano, Sergio M. [0000-0003-2892-518X]
Latorre Garcés, Borja [0000-0002-6720-3326]
Reig-Gracia, Fergus [0000-0002-9482-1170]
Beguería, Santiago [santiago.begueria@csic.es]
Beguería, Santiago
Vicente Serrano, Sergio M.
Reig-Gracia, Fergus
Latorre Garcés, Borja
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv SPEI
Drought
Precipitation
Standardized Precipitation-Evapotranspiration Index
Drought Index
Evapotranspiration
Global Warming
Global data
Climate change
Climate data
Climatology
http://aims.fao.org/aos/agrovoc/c_2391
http://aims.fao.org/aos/agrovoc/c_2741
http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
drought
evapotranspiration
global warming
climate change
climate services
meteorological observations
topic SPEI
Drought
Precipitation
Standardized Precipitation-Evapotranspiration Index
Drought Index
Evapotranspiration
Global Warming
Global data
Climate change
Climate data
Climatology
http://aims.fao.org/aos/agrovoc/c_2391
http://aims.fao.org/aos/agrovoc/c_2741
http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
drought
evapotranspiration
global warming
climate change
climate services
meteorological observations
description The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. The Global SPEI database, SPEIbase, offers long-time, robust information on the drought conditions at the global scale, with a 0.5 degrees spatial resolution and a monthly time resolution. It has a multi-scale character, providing SPEI time-scales between 1 and 48 months. The Standardized Precipitatin-Evapotranspiration Index (SPEI) expresses, as a standardized variate (mean zero and unit variance), the deviations of the current climatic balance (precipitation minus evapotranspiration potential) with respect to the long-term balance. The reference period for the calculation, in the SPEIbase, corresponds to the whole study period. Being a standardized variate means that the SPEI condition can be compared across space and time. Calculation of the evapotranspiration potential in SPEIbase is based on the FAO-56 Penman-Monteith method. Data type: float; units: z-values (standard deviations). No land pixels are assigned a value of 1.0x10^30. In some rare cases it was not possible to achieve a good fit to the log-logistic distribution, resulting in a NAN (not a number) value in the database. Dimensions of the dataset: lon = 720; lat = 360; time = 1356. Resolution of the dataset: lon = 0.5º; lat = 0.5º; time = 1 month. Created in R using the SPEI package (http://cran.r-project.org/web/packages/SPEI).
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
http://purl.org/coar/resource_type/c_ddb1
format dataset
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/202305
https://doi.org/10.20350/digitalCSIC/15555
url http://hdl.handle.net/10261/202305
https://doi.org/10.20350/digitalCSIC/15555
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv NetCDF
http://hdl.handle.net/10261/153475
Based on the CRU TS v. 4.03 dataset (https://crudata.uea.ac.uk/cru/data/hrg/cru_ts_4.03/) of the Climate Research Unit, University of East Anglia (UK).
Vicente-Serrano S.M., Beguería S., López-Moreno J.I., 2010: A Multi-scalar drought index sensitive to global warming: The Standardized Precipitation Evapotranspiration Index – SPEI. Journal of Climate 23(7), 1696-1718, DOI: 10.1175/2009JCLI2909.1.-- http://digital.csic.es/handle/10261/22405.
Vicente-Serrano S.M., Beguería S., López-Moreno J.I., Angulo M., El Kenawy A. (2010) A global 0.5° gridded dataset (1901-2006) of a multiscalar drought index considering the joint effects of precipitation and temperature. Journal of Hydrometeorology 11(4), 1033-1043, DOI: 10.1175/2010JHM1224.1.-- http://digital.csic.es/handle/10261/23906.
[EN] NetCDF files can be accessed and manipulated using various software tools, including GIS applications like QGIS and ArcMap, specialized applications like Panoply (https://www.giss.nasa.gov/tools/panoply/), and dedicated libraries such as ncdf4, raster, or terra in R, as well as netCDF4 or xarray in Python, among others. For more information, please refer to https://spei.csic.es/database.html. [ES] Los archivos NetCDF de la dataset se pueden acceder y manipular utilizando diversas herramientas de software, incluidas aplicaciones SIG como QGIS y ArcMap, aplicaciones especializadas como Panoply (https://www.giss.nasa.gov/tools/panoply/), y librerías específicas como ncdf4, raster o terra en R, así como netCDF4 o xarray en Python, entre otras. Para más información, consulte https://spei.csic.es/database.html.
https://spei.csic.es/

dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv DIGITAL.CSIC
publisher.none.fl_str_mv DIGITAL.CSIC
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869418168317902848
spelling SPEIbase v.2.6 [Dataset]Beguería, SantiagoVicente Serrano, Sergio M.Reig-Gracia, FergusLatorre Garcés, BorjaSPEIDroughtPrecipitationStandardized Precipitation-Evapotranspiration IndexDrought IndexEvapotranspirationGlobal WarmingGlobal dataClimate changeClimate dataClimatologyhttp://aims.fao.org/aos/agrovoc/c_2391http://aims.fao.org/aos/agrovoc/c_2741http://metadata.un.org/sdg/13Take urgent action to combat climate change and its impactsdroughtevapotranspirationglobal warmingclimate changeclimate servicesmeteorological observationsThe Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. The Global SPEI database, SPEIbase, offers long-time, robust information on the drought conditions at the global scale, with a 0.5 degrees spatial resolution and a monthly time resolution. It has a multi-scale character, providing SPEI time-scales between 1 and 48 months. The Standardized Precipitatin-Evapotranspiration Index (SPEI) expresses, as a standardized variate (mean zero and unit variance), the deviations of the current climatic balance (precipitation minus evapotranspiration potential) with respect to the long-term balance. The reference period for the calculation, in the SPEIbase, corresponds to the whole study period. Being a standardized variate means that the SPEI condition can be compared across space and time. Calculation of the evapotranspiration potential in SPEIbase is based on the FAO-56 Penman-Monteith method. Data type: float; units: z-values (standard deviations). No land pixels are assigned a value of 1.0x10^30. In some rare cases it was not possible to achieve a good fit to the log-logistic distribution, resulting in a NAN (not a number) value in the database. Dimensions of the dataset: lon = 720; lat = 360; time = 1356. Resolution of the dataset: lon = 0.5º; lat = 0.5º; time = 1 month. Created in R using the SPEI package (http://cran.r-project.org/web/packages/SPEI).Global gridded dataset of the Standardized Precipitation-Evapotranspiration Index (SPEI) at time scales between 1 and 48 months.-- Spatial resolution of 0.5º lat/lon.-- This is an update of the SPEIbase v2.4 (http://digital.csic.es/handle/10261/128892).-- What’s new in version 2.5: 1) Data has been extended to the period 1901-2015 (it was 1901-2014 in v 2.4), based on the CRU TS3.24.01 dataset. 2) A bug on versions 2.2 to 2.4 of the dataset has been corrected that prevented correctly reading the ETo data in mm/month-- For more details on the SPEI visit https://spei.csic.es/.This work was not supported by any external funding.NoDIGITAL.CSICBeguería, Santiago [0000-0002-3974-2947]Vicente Serrano, Sergio M. [0000-0003-2892-518X]Latorre Garcés, Borja [0000-0002-6720-3326]Reig-Gracia, Fergus [0000-0002-9482-1170]Beguería, Santiago [santiago.begueria@csic.es]Beguería, SantiagoVicente Serrano, Sergio M.Reig-Gracia, FergusLatorre Garcés, BorjaConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202020202020info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1http://hdl.handle.net/10261/202305https://doi.org/10.20350/digitalCSIC/15555reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésNetCDFhttp://hdl.handle.net/10261/153475Based on the CRU TS v. 4.03 dataset (https://crudata.uea.ac.uk/cru/data/hrg/cru_ts_4.03/) of the Climate Research Unit, University of East Anglia (UK).Vicente-Serrano S.M., Beguería S., López-Moreno J.I., 2010: A Multi-scalar drought index sensitive to global warming: The Standardized Precipitation Evapotranspiration Index – SPEI. Journal of Climate 23(7), 1696-1718, DOI: 10.1175/2009JCLI2909.1.-- http://digital.csic.es/handle/10261/22405.Vicente-Serrano S.M., Beguería S., López-Moreno J.I., Angulo M., El Kenawy A. (2010) A global 0.5° gridded dataset (1901-2006) of a multiscalar drought index considering the joint effects of precipitation and temperature. Journal of Hydrometeorology 11(4), 1033-1043, DOI: 10.1175/2010JHM1224.1.-- http://digital.csic.es/handle/10261/23906.[EN] NetCDF files can be accessed and manipulated using various software tools, including GIS applications like QGIS and ArcMap, specialized applications like Panoply (https://www.giss.nasa.gov/tools/panoply/), and dedicated libraries such as ncdf4, raster, or terra in R, as well as netCDF4 or xarray in Python, among others. For more information, please refer to https://spei.csic.es/database.html. [ES] Los archivos NetCDF de la dataset se pueden acceder y manipular utilizando diversas herramientas de software, incluidas aplicaciones SIG como QGIS y ArcMap, aplicaciones especializadas como Panoply (https://www.giss.nasa.gov/tools/panoply/), y librerías específicas como ncdf4, raster o terra en R, así como netCDF4 o xarray en Python, entre otras. Para más información, consulte https://spei.csic.es/database.html.https://spei.csic.es/Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2023052026-05-22T06:33:51Z
score 15,812455