BUSCADOR RECOLECTA

In this dataset, artificial weekly periods are created dividing each month into four periods (days: 1-8; 9-15; 16-22; 23-end). There are 4 files in Netcdf format: 1) ETo.nc containing weekly reference evapotranspiration estimations; 2) ETo_var.nc containing uncertainty estimation of weekly reference evapotranspiration estimations; 3) ETo_Ae.nc containing estimations of the aerodynamic component of weekly reference evapotranspiration and 4) ETo_Ra.nc containing estimations of the radiative component of weekly reference evapotranspiration., SPanish reference evapotranspiration (SPETo) is a weekly gridded reference evapotranspiration dataset for Continental Spain and Balearic Islands, at 1.1 km of spatial resolution, covering the 1961-2014 period. Reference evapotranspiration was calculated using Penman-Monteith FAO-56 method using gridded data of maximum temperature, minimum temperature, dewpoint temperature, wind speed and sunshine duration., This work was supported by research projects CGL2014-52135-C03-01, CGL2014-52135-C03-02 and CGL2014-52135-C03-03 financed by Ministerio de Economía y Competitividad (España), There are 4 files in Netcdf format: 1) ETo.nc containing weekly reference evapotranspiration estimations; 2) ETo_var.nc containing uncertainty estimation of weekly reference evapotranspiration estimations; 3) ETo_Ae.nc containing estimations of the aerodynamic component of weekly reference evapotranspiration and 4) ETo_Ra.nc containing estimations of the radiative component of weekly reference evapotranspiration., No

The dataset is freely available on the web repository of the Spanish National Research Council (CSIC). There are 12 files in NetCDF format: 3 with maximum temperature estimations and 3 minimum temperatures. Each of 3 files represent peninsular Spain (_pen), Balearic islands (_bal) and Canary islands (_can). Same files exist for the uncertainty estimates., Spanish TEmperature At Daily scale (STEAD) is a new daily gridded maximum and minimum temperature dataset for Spain. It covers the whole territory of peninsular Spain and Balearic and Canary Islands at a 5x5 kilometre spatial resolution. Daily temperature was estimated for each point of the grid from 1901-01-01 to 2014-12-31 in peninsular Spain and from 1971-01-01 to 2014-12-31 in the Balearic and Canary Islands. The grid was built using a previously reconstructed station-based dataset. The observed temperature information comprised more than 5,000 stations provided by Spanish Meteorological Agency (AEMET) and Ministry of Agriculture and Environment (MAGRAMA)., Ministerio de Economía y Competitividad (MINECO): CGL2015-69985-R and CGL2017-83866-C3-3-R, Ministerio de Ciencia, Innovación y Universidades: FJCI-2017-31595, No

Los detalles de la metodología y los resultados se pueden encontrar en: Domínguez-Castro, F., Vicente-Serrano, S.M., Tomás-Burguera, M., Peña-Gallardo M., Beguería S., El Kenawy A., Luna, Y., Morata, A. High-spatial-resolution probability maps of drought duration and magnitude across Spain. https://doi.org/10.5194/nhess-2018-289 Acceso mediante licencia: http://opendatacommons.org/licenses/odbl/1-0/, This dataset includes 1.1 km spatial resolution of the Generalized Pareto parameters (X0, alpha, Kappa) of drought duration and magnitude for SPI and SPEI at 1, 3, 6 and 12 months timescales and the maximum drought duration and magnitude risk maps for 50 and 100 years for SPI and SPEI at 1, 3, 6 and 12 months timescales. This dataset contains two zip files “parameters” and “risk_maps”. Parameters zip file contains 16 netCDF3 (8 for drought magnitude and 8 for drought duration) each one provides the Generalized Pareto parameters (1:X0, 2:alpha, 3:Kappa) for one index (SPI or SPEI) and one timescale (1, 3, 6 and 12 months). Risk_maps zip file contains 8 netCDF3 (4 for maximum drought magnitude and 4 for maximum drought duration) each one provides the risk maps for 4 time scales (1, 3, 6, 12 months) of one index (SPI or SPEI) and one time period (50 or 100 years). Each netCDF file contains 1115 longitudes and 834 latitudes., This work was supported by the following research projects: CGL2014-52135-C03-01 and PCIN-2015-220 financed by the Spanish Commission of Science and Technology and FEDER, 1560/2015; Herramientas de monitorización de la vegetación mediante modelización ecohidrológica en parques continentales financed by the Red de Parques Nacionales. IMDROFLOOD financed by Water Works 2014; a co-funded call of the European Commission and INDECIS, Peer reviewed