Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 561900
Title An approach to characterise spatio-temporal drought dynamics
Author(s) Diaz, Vitali; Corzo Perez, Gerald A.; Lanen, Henny A.J. Van; Solomatine, Dimitri; Varouchakis, Emmanouil A.
Source Advances in Water Resources 137 (2020). - ISSN 0309-1708
DOI https://doi.org/10.1016/j.advwatres.2020.103512
Department(s) WIMEK
Hydrology and Quantitative Water Management
Publication type Refereed Article in a scientific journal
Publication year 2020
Keyword(s) Drought characterisation - Drought dynamics - Drought monitoring - Drought tracking - Spatio-temporal drought analysis
Abstract

The spatiotemporal monitoring of droughts is a complex task. In the past decades, drought monitoring has been increasingly developed, while the consideration of its spatio-temporal dynamics is still a challenge. This study proposes a method to build the spatial tracks and paths of drought, which can enhance its monitoring. The steps for the drought tracks calculation are (1) identification of spatial units (areas), (2) centroids localisation, and (3) centroids linkage. The spatio-temporal analysis performed here to extract the areas and centroids builds upon the Contiguous Drought Area (CDA) analysis. The potential of the proposed methodology is illustrated using grid data from the Standardized Precipitation Evaporation Index (SPEI) Global Drought Monitor over India (1901-2013), as an example. The method to calculate the drought tracks allows for identification of drought paths delineated by an onset and an end in space and time. Tracks, severity and duration of the drought are identified, as well as localisation (onset and end position), and rotation. The response of the drought tracking method to different combinations of parameters is also analysed. Further research is in progress to set up a model to predict the drought tracks for particular regions across the world, including India (https://www.researchgate.net/project/STAND-Spatio-Temporal-ANalysis-of-Drought).

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