Assessing drought cycles in SPI time series using a Fourier analysis

In this study, drought in Portugal was assessed using 74 time series of Standardized Precipitation Index (SPI) with a 12-month timescale and 66 years length. A clustering analysis on the SPI Principal Components loadings was performed in order to find regions where SPI drought characteristics are si...

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Published in:Natural Hazards and Earth System Sciences
Main Authors: Moreira, E. E., Martins, D. S., Pereira, L. S.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2015
Subjects:
Online Access:https://doi.org/10.5194/nhess-15-571-2015
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00017175 2023-05-15T17:35:56+02:00 Assessing drought cycles in SPI time series using a Fourier analysis Moreira, E. E. Martins, D. S. Pereira, L. S. 2015-03 electronic https://doi.org/10.5194/nhess-15-571-2015 https://noa.gwlb.de/receive/cop_mods_00017175 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00017130/nhess-15-571-2015.pdf https://nhess.copernicus.org/articles/15/571/2015/nhess-15-571-2015.pdf eng eng Copernicus Publications Natural Hazards and Earth System Sciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2064587 -- http://www.nat-hazards-earth-syst-sci.net/ -- 1684-9981 https://doi.org/10.5194/nhess-15-571-2015 https://noa.gwlb.de/receive/cop_mods_00017175 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00017130/nhess-15-571-2015.pdf https://nhess.copernicus.org/articles/15/571/2015/nhess-15-571-2015.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2015 ftnonlinearchiv https://doi.org/10.5194/nhess-15-571-2015 2022-02-08T22:53:50Z In this study, drought in Portugal was assessed using 74 time series of Standardized Precipitation Index (SPI) with a 12-month timescale and 66 years length. A clustering analysis on the SPI Principal Components loadings was performed in order to find regions where SPI drought characteristics are similar. A Fourier analysis was then applied to the SPI time series considering one SPI value per year relative to every month. The analysis focused on the December SPI time series grouped in each of the three identified clusters to investigate the existence of cycles that could be related to the return periods of droughts. The most frequent significant cycles in each of the three clusters were identified and analysed for December and the other months. Results for December show that drought periodicities vary among the three clusters, pointing to a 6-year cycle across the country and a 9.4-year cycle in central and southern Portugal. Both these cycles likely show the influence of the North Atlantic Oscillation (NAO) on the occurrence and severity of droughts in Portugal. Relative to other months it was observed that cycles varied according to the common occurrence of precipitation: for the rainy months – November, December and January – cycles are similar to those for December; for the dry months – May to September – where the lack of precipitation masks the occurrence of drought, the dominant cycles are of short duration and cannot be related to the NAO or other large circulation indices to explain drought variability; for the transition months – February, March, April and October – 6-year and 3-year cycles were identified, the latter being more strongly apparent in central and southern Portugal. NAO influence is again identified relative to the 6-year cycles. The short cycles are apparently associated with positive SPI, thus with wetness, not drought. Overall, results confirm the importance of the NAO as a driving force for dry and wet periods. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Niedersächsisches Online-Archiv NOA Natural Hazards and Earth System Sciences 15 3 571 585
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Moreira, E. E.
Martins, D. S.
Pereira, L. S.
Assessing drought cycles in SPI time series using a Fourier analysis
topic_facet article
Verlagsveröffentlichung
description In this study, drought in Portugal was assessed using 74 time series of Standardized Precipitation Index (SPI) with a 12-month timescale and 66 years length. A clustering analysis on the SPI Principal Components loadings was performed in order to find regions where SPI drought characteristics are similar. A Fourier analysis was then applied to the SPI time series considering one SPI value per year relative to every month. The analysis focused on the December SPI time series grouped in each of the three identified clusters to investigate the existence of cycles that could be related to the return periods of droughts. The most frequent significant cycles in each of the three clusters were identified and analysed for December and the other months. Results for December show that drought periodicities vary among the three clusters, pointing to a 6-year cycle across the country and a 9.4-year cycle in central and southern Portugal. Both these cycles likely show the influence of the North Atlantic Oscillation (NAO) on the occurrence and severity of droughts in Portugal. Relative to other months it was observed that cycles varied according to the common occurrence of precipitation: for the rainy months – November, December and January – cycles are similar to those for December; for the dry months – May to September – where the lack of precipitation masks the occurrence of drought, the dominant cycles are of short duration and cannot be related to the NAO or other large circulation indices to explain drought variability; for the transition months – February, March, April and October – 6-year and 3-year cycles were identified, the latter being more strongly apparent in central and southern Portugal. NAO influence is again identified relative to the 6-year cycles. The short cycles are apparently associated with positive SPI, thus with wetness, not drought. Overall, results confirm the importance of the NAO as a driving force for dry and wet periods.
format Article in Journal/Newspaper
author Moreira, E. E.
Martins, D. S.
Pereira, L. S.
author_facet Moreira, E. E.
Martins, D. S.
Pereira, L. S.
author_sort Moreira, E. E.
title Assessing drought cycles in SPI time series using a Fourier analysis
title_short Assessing drought cycles in SPI time series using a Fourier analysis
title_full Assessing drought cycles in SPI time series using a Fourier analysis
title_fullStr Assessing drought cycles in SPI time series using a Fourier analysis
title_full_unstemmed Assessing drought cycles in SPI time series using a Fourier analysis
title_sort assessing drought cycles in spi time series using a fourier analysis
publisher Copernicus Publications
publishDate 2015
url https://doi.org/10.5194/nhess-15-571-2015
https://noa.gwlb.de/receive/cop_mods_00017175
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00017130/nhess-15-571-2015.pdf
https://nhess.copernicus.org/articles/15/571/2015/nhess-15-571-2015.pdf
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_relation Natural Hazards and Earth System Sciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2064587 -- http://www.nat-hazards-earth-syst-sci.net/ -- 1684-9981
https://doi.org/10.5194/nhess-15-571-2015
https://noa.gwlb.de/receive/cop_mods_00017175
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00017130/nhess-15-571-2015.pdf
https://nhess.copernicus.org/articles/15/571/2015/nhess-15-571-2015.pdf
op_rights uneingeschränkt
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/nhess-15-571-2015
container_title Natural Hazards and Earth System Sciences
container_volume 15
container_issue 3
container_start_page 571
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