Spatio-temporal variability of droughts over past 80 years in Madeira Island

Study region: Madeira Island, Portugal (a small island of the North Atlantic Ocean). Study focus: Droughts from January 1937 to December 2016, were studied using monthly rainfall at 41 rain gauges covering most of the island. The gaps of the original rainfall data were filled by Multiple Imputation...

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Main Authors: Luis Angel Espinosa, Maria Manuela Portela, Rui Rodrigues
Format: Article
Language:English
Published: Elsevier 2019-10-01
Series:Journal of Hydrology: Regional Studies
Online Access:http://www.sciencedirect.com/science/article/pii/S2214581818303677
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spelling doaj-0d52ba000372434199413aff80fd4ce12020-11-25T01:16:24ZengElsevierJournal of Hydrology: Regional Studies2214-58182019-10-0125Spatio-temporal variability of droughts over past 80 years in Madeira IslandLuis Angel Espinosa0Maria Manuela Portela1Rui Rodrigues2Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior Técnico (IST), University of Lisbon (UL), Portugal; National Laboratory for Civil Engineering (LNEC), Portugal; Corresponding author at: Universidade de Lisboa, Instituto Superior Tecnico (IST), Department of Civil Engineering, Architecture and Georesources (DECivil), Av. Rovisco Pais, No. 1, 1040-001 Lisbon, Portugal.Civil Engineering Research and Innovation for Sustainability (CERIS), Instituto Superior Técnico (IST), University of Lisbon (UL), PortugalNational Laboratory for Civil Engineering (LNEC), PortugalStudy region: Madeira Island, Portugal (a small island of the North Atlantic Ocean). Study focus: Droughts from January 1937 to December 2016, were studied using monthly rainfall at 41 rain gauges covering most of the island. The gaps of the original rainfall data were filled by Multiple Imputation by Chained Equations (MICE). The drought conditions were assessed by means of the Standardized Precipitation Index (SPI), specifically the SPI6. To study the drought variability, some clustering techniques and principal components analysis (PCA) were applied to the SPI field. New hydrological insights for the region: Three homogeneous regions (northern slope, southern slope, and central region), each of them with different temporal climatic variability may be identified. Furthermore, for each region, the droughts were characterized in terms of magnitude and duration, and based on a kernel occurrence rate estimator (KORE) as well as on frequency of the drought periods. Finally, two climatic drivers, namely the El Niño-Southern Oscillation (ENSO) and the North Atlantic Oscillation (NAO) were teleconnected to the drought variability at the identified homogeneous regions for the period under study. It was not possible to establish a clear relationship between ENSO/NAO and drought occurrence. Nevertheless, the results showed that the spatio-temporal drought variability in Madeira Island has been subjected to noticeable changes in recent years (2001–2016) with a considerable higher number of periods under drought conditions than in the past. Keywords: Drought, Standardized Precipitation Index (SPI), MICE, Principal components analysis (PCA), Occurrence rate, El Niño-Southern Oscillation (ENSO), North Atlantic Oscillation (NAO)http://www.sciencedirect.com/science/article/pii/S2214581818303677
collection DOAJ
language English
format Article
sources DOAJ
author Luis Angel Espinosa
Maria Manuela Portela
Rui Rodrigues
spellingShingle Luis Angel Espinosa
Maria Manuela Portela
Rui Rodrigues
Spatio-temporal variability of droughts over past 80 years in Madeira Island
Journal of Hydrology: Regional Studies
author_facet Luis Angel Espinosa
Maria Manuela Portela
Rui Rodrigues
author_sort Luis Angel Espinosa
title Spatio-temporal variability of droughts over past 80 years in Madeira Island
title_short Spatio-temporal variability of droughts over past 80 years in Madeira Island
title_full Spatio-temporal variability of droughts over past 80 years in Madeira Island
title_fullStr Spatio-temporal variability of droughts over past 80 years in Madeira Island
title_full_unstemmed Spatio-temporal variability of droughts over past 80 years in Madeira Island
title_sort spatio-temporal variability of droughts over past 80 years in madeira island
publisher Elsevier
series Journal of Hydrology: Regional Studies
issn 2214-5818
publishDate 2019-10-01
description Study region: Madeira Island, Portugal (a small island of the North Atlantic Ocean). Study focus: Droughts from January 1937 to December 2016, were studied using monthly rainfall at 41 rain gauges covering most of the island. The gaps of the original rainfall data were filled by Multiple Imputation by Chained Equations (MICE). The drought conditions were assessed by means of the Standardized Precipitation Index (SPI), specifically the SPI6. To study the drought variability, some clustering techniques and principal components analysis (PCA) were applied to the SPI field. New hydrological insights for the region: Three homogeneous regions (northern slope, southern slope, and central region), each of them with different temporal climatic variability may be identified. Furthermore, for each region, the droughts were characterized in terms of magnitude and duration, and based on a kernel occurrence rate estimator (KORE) as well as on frequency of the drought periods. Finally, two climatic drivers, namely the El Niño-Southern Oscillation (ENSO) and the North Atlantic Oscillation (NAO) were teleconnected to the drought variability at the identified homogeneous regions for the period under study. It was not possible to establish a clear relationship between ENSO/NAO and drought occurrence. Nevertheless, the results showed that the spatio-temporal drought variability in Madeira Island has been subjected to noticeable changes in recent years (2001–2016) with a considerable higher number of periods under drought conditions than in the past. Keywords: Drought, Standardized Precipitation Index (SPI), MICE, Principal components analysis (PCA), Occurrence rate, El Niño-Southern Oscillation (ENSO), North Atlantic Oscillation (NAO)
url http://www.sciencedirect.com/science/article/pii/S2214581818303677
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