Resultados totales (Incluyendo duplicados): 2
Encontrada(s) 1 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128892
Dataset. 2016

SPEIBASE V.2.4 [DATASET]

  • Beguería, Santiago
  • Vicente Serrano, Sergio M.
  • Reig-Gracia, Fergus
  • Latorre Garcés, Borja
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)., 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 v2.3 (http://hdl.handle.net/10261/104742).-- What’s new in version 2.4: 1) Data has been extended to the period 1901-2014 (it was 1901-2013 in v 2.3), based on the CRU TS3.23 dataset.-- For more details on the SPEI visit http://sac.csic.es/spei., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/128892
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128892
HANDLE: http://hdl.handle.net/10261/128892
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128892
PMID: http://hdl.handle.net/10261/128892
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128892
Ver en: http://hdl.handle.net/10261/128892
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128892

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/141218
Dataset. 2017

SPREAD (SPANISH PRECIPITATION AT DAILY SCALE) [DATASET]

  • Serrano Notivoli, Roberto
  • De Luis, Martín
  • Beguería, Santiago
  • Saz, Miguel Ángel
The dataset is freely available on the web repository of the Spanish National Research Council (CSIC). There are 6 files in NetCDF format: 3 with precipitation estimations (pcp_) and 3 with standard errors (err_) of each estimation. Each of 3 files represent peninsular Spain (pen_), Balearic islands (bal_) and Canary islands (can_)., Spanish PREcipitation At Daily scale (SPREAD) is a new daily gridded precipitation dataset for Spain. It covers the whole territory of peninsular Spain and Balearic and Canary Islands at a 5x5 kilometre spatial resolution. Daily precipitation was estimated for each point of the grid from 1950-01-01 to 2012-12-31 in peninsular Spain and from 1971-01-01 to 2012-12-31 in the Balearic and Canary Islands. The grid was built using a previously reconstructed station-based dataset using reddPrec package (https://cran.r-project.org/web/packages/reddPrec). The observed precipitation information comprised 12,858 stations provided by Spanish Meteorological Agency (AEMET); Ministry of Agriculture and Environment (MAGRAMA); Meteorologic Service of Catalonia (METEOCAT); Navarra Government and several hydrological confederations., This study was supported by research projects CGL2015-69985-R and CGL2014-52135-C3-1-R, funded by the Spanish Ministerio de Economía y Competitividad (MINECO) and FEDER-ERDF funds. The researchers were supported by the Government of Aragón through the ‘Programme of research groups’ (groups ‘H38, Clima, Cambio Global y Sistemas Naturales’ and ‘E68, Geomorfología y Cambio Global’)., No

Proyecto: //
DOI: http://hdl.handle.net/10261/141218
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/141218
HANDLE: http://hdl.handle.net/10261/141218
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/141218
PMID: http://hdl.handle.net/10261/141218
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/141218
Ver en: http://hdl.handle.net/10261/141218
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/141218

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