BUSCADOR RECOLECTA

This contains five zip files with 13 files each one. The format of the files is ArcGis ASCII, which can be imported or directly opened by different files. The five files are: precipitation.zip, contains the monthly (12) and annual (1) ASCII files for precipitation. tmax.zip, contains the monthly (12) and annual (1) ASCII files for maximum temperature. tmin.zip, contains the monthly (12) and annual (1) ASCII files for minimum temperature. ETo.zip, contains the monthly (12) and annual (1) ASCII files for reference evapotranspiration. balance.zip, contains the monthly (12) and annual (1) ASCII files for water balance. Cordinates are geographic (WGS84) The boundaries of the files are: min. X : -69.6646075000000 max. X : -57.5146075000000 min. Y : -22.9054771000000 max. Y : -9.67547710000000 spatial resolution is 0.009 degrees (about 1 km. of spatial resolution)., The dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Please, read the full ODbL 1.0 license text for the exact terms that apply. Users of the dataset are free to: Share: copy, distribute and use the database, either commercially or non-commercially. Create: produce derivative works from the database. Adapt: modify, transform and build upon the database. Under the following conditions: Attribution: You must attribute any public use of the database, or works produced from the database. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the original database. Share-Alike: If you publicly use any adapted version of this database, or works produced from an adapted database, you must also offer that adapted database under the ODbL., This dataset introduces monthly and annual climate maps for relevant hydroclimatic variables in Bolivia. We have used the most complete network of precipitation and temperature stations available in Bolivia, which passed a careful quality control and temporal homogenization procedure. Monthly average maps at the spatial resolution of 1-km are modeled by means of a regression-based approach using topographic and geographic variables as predictors, and adding the residuals between observations and predictions, which were interpolated using the inverse distance weighting algorithm. The monthly average maximum and minimum temperatures, precipitation, and topographically modeled exoatmospheric solar radiation are used to estimate the monthly average atmospheric evaporative demand by means of the Hargreaves model. Finally, the average water balance is estimated on a monthly scale for each 1-km cell size by means of the difference between precipitation and atmospheric evaporative demand. Annual maps are created by averaging monthly values for temperature and adding the monthly values for precipitation, atmospheric evaporative demand and water balance. The digital layers are availablein ArcGIS ASCII format., Fuente de financiación del proyecto en que se encuadran los datos: I-COOP H2O 2013CD0006: “Test multisectorial y actividades demostrativa sobre el potencial desarrollo de sistemas de monitorización de sequías en tiempo real en la región del oeste de Sudamérica”, Peer reviewed

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 v2.2 (http://hdl.handle.net/10261/72264).-- What’s new in version 2.3: 1) Data has been extended to the period 1901-2013 (it was 1901-2011 in v 2.0), based on the CRU TS3.22 dataset.-- For more details on the SPEI visit http://sac.csic.es/spei., No