2019
DOI: 10.1002/joc.6226
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A mathematical morphology approach for a qualitative exploration of drought events in space and time

Abstract: Drought events occur worldwide and possibly incur severe consequences. Trying to understand and characterize drought events is of considerable importance in order to improve the preparedness for coping with future events. In this paper, we present a methodology that allows for the delineation of drought events by exploiting their spatiotemporal nature. To that end, we apply operators borrowed from mathematical morphology to represent drought events as connected components in space and time. As an illustration,… Show more

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Cited by 15 publications
(19 citation statements)
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“…We improve the robustness of the identification of moisture deficit clusters by first applying a 2‐D median filter to the global map of P − E percentiles at each time step (Figure S2). This spatial smoothing reduces small‐scale heterogeneity and is a common preprocessing step in drought clustering analyses (Andreadis et al, 2005; Herrera‐Estrada et al, 2017; Sheffield et al, 2009; Vernieuwe et al, 2019).…”
Section: Methodsmentioning
confidence: 99%
“…We improve the robustness of the identification of moisture deficit clusters by first applying a 2‐D median filter to the global map of P − E percentiles at each time step (Figure S2). This spatial smoothing reduces small‐scale heterogeneity and is a common preprocessing step in drought clustering analyses (Andreadis et al, 2005; Herrera‐Estrada et al, 2017; Sheffield et al, 2009; Vernieuwe et al, 2019).…”
Section: Methodsmentioning
confidence: 99%
“…e method divided inundation extent into water-body extent and water-invasion extent with high timeliness and accuracy. It is worth mentioning that Vernieuwe et al [25] have put forward a Mathematical Morphology approach for a qualitative exploration of drought events in space and time.…”
Section: Space-filling Methodmentioning
confidence: 99%
“…For the purpose of analyzing the accuracy of different methods, we estimated the inundation depth and inundation extent caused by the Sanhekou Reservoir at water volume of 1910 × 10 6 m 3 and 2349 × 10 6 m 3 , as shown in Table 1. HD represents the hydrodynamic method proposed in the literature [2], SF is the space-filling method put forward in the literature [20], LM is the method of simple expansion indicated in the literature [25], and MM represents the method proposed in this paper.…”
Section: Accuracy Analysismentioning
confidence: 99%
“…In this paper, the methodology is presented for providing an answer for both options. To illustrate the approach, we make use of a database containing characteristics of drought events in mainland Australia as characterised by Vernieuwe et al [4].…”
Section: Introductionmentioning
confidence: 99%
“…As stated before, this paper introduces two options that allow for a more effective communication about droughts. To demonstrate this, we make use of a database assembled by Vernieuwe et al [4]. Yet, other databases could have been used as well.…”
Section: Introductionmentioning
confidence: 99%