SPEIbase v.2.10 [Dataset]: A Comprehensive Tool for Global Drought Analysis
[EN] The dataset is comprised of 48 NetCDF files, each representing a distinct temporal scale spanning from 1 to 48 months. It can be accessed and manipulated using various software tools, including GIS applications like QGIS and ArcMap, specialized applications like Panoply (https://www.giss.nasa.g...
| Autores: | , , , |
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| Tipo de recurso: | conjunto de datos |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/364137 |
| Acceso en línea: | http://hdl.handle.net/10261/364137 https://doi.org/10.20350/digitalCSIC/16497 |
| Access Level: | acceso abierto |
| Palabra clave: | SPEI Drought Drought Index Standardized Precipitation-Evapotranspiration Index Precipitation Evapotranspiration Global Warming Climate change Climatology Climate data Global data http://metadata.un.org/sdg/13 Take urgent action to combat climate change and its impacts global warming climate change climate services meteorological observations drought drought index |
| Sumario: | [EN] The dataset is comprised of 48 NetCDF files, each representing a distinct temporal scale spanning from 1 to 48 months. It 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. Each NetCDF file contains a 3-dimensional matrix with dimensions of 720x360x1476. Land pixels are marked with the value 1.0x10^30, and occasionally, calculation errors may lead to NaN values. The dataset has been generated in R using the SPEI package (http://cran.r-project.org/web/packages/SPEI). |
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