Meteorological Drought Analysis and Return Periods over North and West Africa and Linkage with El Niño–Southern Oscillation (ENSO)

Droughts are one of the world’s most destructive natural disasters. In large regions of Africa, droughts can have strong environmental and socioeconomic impacts. Understanding the mechanism that drives drought and predicting its variability is important for enhancing early warning and disaster risk...

Full description

Bibliographic Details
Published in:Remote Sensing
Main Authors: Malak Henchiri, Tertsea Igbawua, Tehseen Javed, Yun Bai, Sha Zhang, Bouajila Essifi, Fanan Ujoh, Jiahua Zhang
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
SPI
Online Access:https://doi.org/10.3390/rs13234730
id ftmdpi:oai:mdpi.com:/2072-4292/13/23/4730/
record_format openpolar
spelling ftmdpi:oai:mdpi.com:/2072-4292/13/23/4730/ 2023-08-20T04:08:34+02:00 Meteorological Drought Analysis and Return Periods over North and West Africa and Linkage with El Niño–Southern Oscillation (ENSO) Malak Henchiri Tertsea Igbawua Tehseen Javed Yun Bai Sha Zhang Bouajila Essifi Fanan Ujoh Jiahua Zhang agris 2021-11-23 application/pdf https://doi.org/10.3390/rs13234730 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs13234730 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 23; Pages: 4730 ENSO JPDF meteorological drought North and West Africa return periods SPI Text 2021 ftmdpi https://doi.org/10.3390/rs13234730 2023-08-01T03:20:06Z Droughts are one of the world’s most destructive natural disasters. In large regions of Africa, droughts can have strong environmental and socioeconomic impacts. Understanding the mechanism that drives drought and predicting its variability is important for enhancing early warning and disaster risk management. Taking North and West Africa as the study area, this study adopted multi-source data and various statistical analysis methods, such as the joint probability density function (JPDF), to study the meteorological drought and return years across a long term (1982–2018). The standardized precipitation index (SPI) was used to evaluate the large-scale spatiotemporal drought characteristics at 1–12-month timescales. The intensity, severity, and duration of drought in the study area were evaluated using SPI–12. At the same time, the JPDF was used to determine the return year and identify the intensity, duration, and severity of drought. The Mann-Kendall method was used to test the trend of SPI and annual precipitation at 1–12-month timescales. The pattern of drought occurrence and its correlation with climate factors were analyzed. The results showed that the drought magnitude (DM) of the study area was the highest in 2008–2010, 2000–2003, and 1984–1987, with the values of 5.361, 2.792, and 2.187, respectively, and the drought lasting for three years in each of the three periods. At the same time, the lowest DM was found in 1997–1998, 1993–1994, and 1991–1992, with DM values of 0.113, 0.658, and 0.727, respectively, with a duration of one year each time. It was confirmed that the probability of return to drought was higher when the duration of drought was shorter, with short droughts occurring more regularly, but not all severe droughts hit after longer time intervals. Beyond this, we discovered a direct connection between drought and the North Atlantic Oscillation Index (NAOI) over Morocco, Algeria, and the sub-Saharan countries, and some slight indications that drought is linked with the Southern Oscillation ... Text North Atlantic North Atlantic oscillation MDPI Open Access Publishing Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) Remote Sensing 13 23 4730
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic ENSO
JPDF
meteorological drought
North and West Africa
return periods
SPI
spellingShingle ENSO
JPDF
meteorological drought
North and West Africa
return periods
SPI
Malak Henchiri
Tertsea Igbawua
Tehseen Javed
Yun Bai
Sha Zhang
Bouajila Essifi
Fanan Ujoh
Jiahua Zhang
Meteorological Drought Analysis and Return Periods over North and West Africa and Linkage with El Niño–Southern Oscillation (ENSO)
topic_facet ENSO
JPDF
meteorological drought
North and West Africa
return periods
SPI
description Droughts are one of the world’s most destructive natural disasters. In large regions of Africa, droughts can have strong environmental and socioeconomic impacts. Understanding the mechanism that drives drought and predicting its variability is important for enhancing early warning and disaster risk management. Taking North and West Africa as the study area, this study adopted multi-source data and various statistical analysis methods, such as the joint probability density function (JPDF), to study the meteorological drought and return years across a long term (1982–2018). The standardized precipitation index (SPI) was used to evaluate the large-scale spatiotemporal drought characteristics at 1–12-month timescales. The intensity, severity, and duration of drought in the study area were evaluated using SPI–12. At the same time, the JPDF was used to determine the return year and identify the intensity, duration, and severity of drought. The Mann-Kendall method was used to test the trend of SPI and annual precipitation at 1–12-month timescales. The pattern of drought occurrence and its correlation with climate factors were analyzed. The results showed that the drought magnitude (DM) of the study area was the highest in 2008–2010, 2000–2003, and 1984–1987, with the values of 5.361, 2.792, and 2.187, respectively, and the drought lasting for three years in each of the three periods. At the same time, the lowest DM was found in 1997–1998, 1993–1994, and 1991–1992, with DM values of 0.113, 0.658, and 0.727, respectively, with a duration of one year each time. It was confirmed that the probability of return to drought was higher when the duration of drought was shorter, with short droughts occurring more regularly, but not all severe droughts hit after longer time intervals. Beyond this, we discovered a direct connection between drought and the North Atlantic Oscillation Index (NAOI) over Morocco, Algeria, and the sub-Saharan countries, and some slight indications that drought is linked with the Southern Oscillation ...
format Text
author Malak Henchiri
Tertsea Igbawua
Tehseen Javed
Yun Bai
Sha Zhang
Bouajila Essifi
Fanan Ujoh
Jiahua Zhang
author_facet Malak Henchiri
Tertsea Igbawua
Tehseen Javed
Yun Bai
Sha Zhang
Bouajila Essifi
Fanan Ujoh
Jiahua Zhang
author_sort Malak Henchiri
title Meteorological Drought Analysis and Return Periods over North and West Africa and Linkage with El Niño–Southern Oscillation (ENSO)
title_short Meteorological Drought Analysis and Return Periods over North and West Africa and Linkage with El Niño–Southern Oscillation (ENSO)
title_full Meteorological Drought Analysis and Return Periods over North and West Africa and Linkage with El Niño–Southern Oscillation (ENSO)
title_fullStr Meteorological Drought Analysis and Return Periods over North and West Africa and Linkage with El Niño–Southern Oscillation (ENSO)
title_full_unstemmed Meteorological Drought Analysis and Return Periods over North and West Africa and Linkage with El Niño–Southern Oscillation (ENSO)
title_sort meteorological drought analysis and return periods over north and west africa and linkage with el niño–southern oscillation (enso)
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/rs13234730
op_coverage agris
long_lat ENVELOPE(-59.828,-59.828,-63.497,-63.497)
geographic Kendall
geographic_facet Kendall
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Remote Sensing; Volume 13; Issue 23; Pages: 4730
op_relation https://dx.doi.org/10.3390/rs13234730
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs13234730
container_title Remote Sensing
container_volume 13
container_issue 23
container_start_page 4730
_version_ 1774720913013473280