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Discussion papers
https://doi.org/10.5194/essd-2019-115
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-115
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 26 Aug 2019

Submitted as: data description paper | 26 Aug 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

Drought lacunarity around the world and its classification

Robert Monjo1,2, Dominic Royé3,4, and Javier Martin-Vide5 Robert Monjo et al.
  • 1Climate Research Foundation (FIC), C/Gran Vía 22 (duplicado), 7, 28013 Madrid, Spain
  • 2Department of Algebra, Geometry and Topology, Complutense University of Madrid, Plaza Ciencias, 3, 28040 Madrid, Spain
  • 3Department of Geography, University of Porto, Via Panorâmica, 4150-564 Porto, Portugal
  • 4Department of Geography, University of Santiago de Compostela, Praza da Universidade 1, 15782 Santiago de Compostela, Spain
  • 5Climatology Group, Department of Physical Geography, University of Barcelona, C/Montalegre 6, 08001 Barcelona, Spain

Abstract. Drought duration strongly depends on the definition thereof. In meteorology, dryness is habitually measured by means of fixed thresholds (e.g. 0.1 or 1 mm 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 have climatically classified the drought duration around the world according to their similarity to the voids of the Cantor set. Dryness time structure can be concisely measured by the n-index (from the regular/irregular alternation of dry/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 upon a new measure of drought duration. 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 45165 days), and a spatial resolution of 0.5°:, with a total of 259,197 grid points.

Robert Monjo et al.
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Status: open (until 21 Oct 2019)
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Robert Monjo et al.
Data sets

Drought lacunarity around the world and its classification R. Monjo, D. Royé, and J. Martin-Vide https://doi.org/10.5281/zenodo.3247041

Model code and software

Climatic classification of drought typologies R. Monjo, D. Royé, and J. Martin-Vide https://doi.org/10.5281/zenodo.3376588

Robert Monjo et al.
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