| Título: | Meteorological drought lacunarity around the world and its classification |
| Autores: | Monjo, Robert ; Royé, Dominic ; Martin-Vide, Javier |
| Tipo de documento: | texto impreso |
| Editorial: | Copernicus Publications, 2020-03-27 |
| Dimensiones: | application/pdf |
| Nota general: |
cc_by info:eu-repo/semantics/openAccess cc_by info:eu-repo/semantics/openAccess cc_by info:eu-repo/semantics/openAccess cc_by info:eu-repo/semantics/openAccess cc_by info:eu-repo/semantics/openAccess |
| Idiomas: | , |
| Palabras clave: | Estado = Publicado , Materia = Ciencias: Física: Meteorología , Materia = Ciencias: Matemáticas: Estadística matemática , Materia = Ciencias: Matemáticas: Topología , Tipo = Artículo |
| Resumen: | The measure of drought duration strongly depends on the definition considered. In meteorology, dryness is habitually measured by means of fixed thresholds (e.g. 0.1 or 1mm usually define dry spells) or climatic mean values (as is the case of the standardised precipitation index), but this also depends on the aggregation time interval considered. However, robust measurements of drought duration are required for analysing the statistical significance of possible changes. Herein we climatically classified the drought duration around the world according to its similarity to the voids of the Cantor set. Dryness time structure can be concisely measured by the n index (from the regular or irregular alternation of dry or wet spells), which is closely related to the Gini index and to a Cantor-based exponent. This enables the world’s climates to be classified into six large types based on a new measure of drought duration. To conclude, outcomes provide the ability to determine when droughts start and finish. We performed the dry-spell analysis using the full global gridded daily Multi-Source Weighted-Ensemble Precipitation (MSWEP) dataset. The MSWEP combines gauge-, satellite-, and reanalysis-based data to provide reliable precipitation estimates. The study period comprises the years 1979–2016 (total of 45 165 d), and a spatial resolution of 0.5º, with a total of 259 197 grid points. The dataset is publicly available at https://doi.org/10.5281/zenodo.3247041 (Monjo et al., 2019). |
| En línea: | https://eprints.ucm.es/id/eprint/64019/1/monjo_meteorological.pdf |
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