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: E. E. Moreira, D. S. Martins, L. S. Pereira
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2015
Subjects:
geo
Online Access:https://doi.org/10.5194/nhess-15-571-2015
http://www.nat-hazards-earth-syst-sci.net/15/571/2015/nhess-15-571-2015.pdf
https://doaj.org/article/f0785d48c8f94ccf9eb9502f4749b7ba
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:f0785d48c8f94ccf9eb9502f4749b7ba 2023-05-15T17:36:14+02:00 Assessing drought cycles in SPI time series using a Fourier analysis E. E. Moreira D. S. Martins L. S. Pereira 2015-03-01 https://doi.org/10.5194/nhess-15-571-2015 http://www.nat-hazards-earth-syst-sci.net/15/571/2015/nhess-15-571-2015.pdf https://doaj.org/article/f0785d48c8f94ccf9eb9502f4749b7ba en eng Copernicus Publications 1561-8633 1684-9981 doi:10.5194/nhess-15-571-2015 http://www.nat-hazards-earth-syst-sci.net/15/571/2015/nhess-15-571-2015.pdf https://doaj.org/article/f0785d48c8f94ccf9eb9502f4749b7ba undefined Natural Hazards and Earth System Sciences, Vol 15, Iss 3, Pp 571-585 (2015) envir geo Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2015 fttriple https://doi.org/10.5194/nhess-15-571-2015 2023-01-22T19:07:53Z 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 Unknown Natural Hazards and Earth System Sciences 15 3 571 585
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic envir
geo
spellingShingle envir
geo
E. E. Moreira
D. S. Martins
L. S. Pereira
Assessing drought cycles in SPI time series using a Fourier analysis
topic_facet envir
geo
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 E. E. Moreira
D. S. Martins
L. S. Pereira
author_facet E. E. Moreira
D. S. Martins
L. S. Pereira
author_sort E. E. Moreira
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
http://www.nat-hazards-earth-syst-sci.net/15/571/2015/nhess-15-571-2015.pdf
https://doaj.org/article/f0785d48c8f94ccf9eb9502f4749b7ba
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Natural Hazards and Earth System Sciences, Vol 15, Iss 3, Pp 571-585 (2015)
op_relation 1561-8633
1684-9981
doi:10.5194/nhess-15-571-2015
http://www.nat-hazards-earth-syst-sci.net/15/571/2015/nhess-15-571-2015.pdf
https://doaj.org/article/f0785d48c8f94ccf9eb9502f4749b7ba
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container_title Natural Hazards and Earth System Sciences
container_volume 15
container_issue 3
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