Investigating annual and monthly trends in precipitation structure: an overview across Portugal
This work investigates recent changes in precipitation patterns manifested in long annual and monthly precipitation time series recorded in Portugal. The dataset comprises records from 14 meteorological stations scattered over mainland Portugal and the Portuguese North Atlantic Islands of Madeira an...
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Copernicus Publications
2010
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Online Access: | https://doi.org/10.5194/nhess-10-2429-2010 http://www.nat-hazards-earth-syst-sci.net/10/2429/2010/nhess-10-2429-2010.pdf https://doaj.org/article/656d02e3be124633b8472e6c18a8cfe4 |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:656d02e3be124633b8472e6c18a8cfe4 2023-05-15T17:33:03+02:00 Investigating annual and monthly trends in precipitation structure: an overview across Portugal M. I. P. de Lima S. C. P. Carvalho J. L. M. P. de Lima 2010-11-01 https://doi.org/10.5194/nhess-10-2429-2010 http://www.nat-hazards-earth-syst-sci.net/10/2429/2010/nhess-10-2429-2010.pdf https://doaj.org/article/656d02e3be124633b8472e6c18a8cfe4 en eng Copernicus Publications doi:10.5194/nhess-10-2429-2010 1561-8633 1684-9981 http://www.nat-hazards-earth-syst-sci.net/10/2429/2010/nhess-10-2429-2010.pdf https://doaj.org/article/656d02e3be124633b8472e6c18a8cfe4 undefined Natural Hazards and Earth System Sciences, Vol 10, Iss 11, Pp 2429-2440 (2010) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2010 fttriple https://doi.org/10.5194/nhess-10-2429-2010 2023-01-22T16:40:52Z This work investigates recent changes in precipitation patterns manifested in long annual and monthly precipitation time series recorded in Portugal. The dataset comprises records from 14 meteorological stations scattered over mainland Portugal and the Portuguese North Atlantic Islands of Madeira and Azores; some of the time series date back to the 19th century. The data were tested for trends using the Mann-Kendall non-parametric test and Sen's non-parametric method, searching both for full monotonic trends over the record period and for partial trends. Results provide no evidence for rejecting the null hypothesis of no trend in annual precipitation, when a monotonic linear model was used. Nevertheless, the analyses of 50 years' moving averages showed an increase over time, in the recent past, for many of the series in mainland Portugal and the Islands. For the longest time series this behaviour was preceded by a decrease over time. The analyses of partial trends in the time series suggested a sequence of alternately decreasing and increasing trends in annual and monthly precipitation, which are sometimes statistically significant. The trend changing points were identified. Article in Journal/Newspaper North Atlantic Unknown Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) Natural Hazards and Earth System Sciences 10 11 2429 2440 |
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language |
English |
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geo envir |
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geo envir M. I. P. de Lima S. C. P. Carvalho J. L. M. P. de Lima Investigating annual and monthly trends in precipitation structure: an overview across Portugal |
topic_facet |
geo envir |
description |
This work investigates recent changes in precipitation patterns manifested in long annual and monthly precipitation time series recorded in Portugal. The dataset comprises records from 14 meteorological stations scattered over mainland Portugal and the Portuguese North Atlantic Islands of Madeira and Azores; some of the time series date back to the 19th century. The data were tested for trends using the Mann-Kendall non-parametric test and Sen's non-parametric method, searching both for full monotonic trends over the record period and for partial trends. Results provide no evidence for rejecting the null hypothesis of no trend in annual precipitation, when a monotonic linear model was used. Nevertheless, the analyses of 50 years' moving averages showed an increase over time, in the recent past, for many of the series in mainland Portugal and the Islands. For the longest time series this behaviour was preceded by a decrease over time. The analyses of partial trends in the time series suggested a sequence of alternately decreasing and increasing trends in annual and monthly precipitation, which are sometimes statistically significant. The trend changing points were identified. |
format |
Article in Journal/Newspaper |
author |
M. I. P. de Lima S. C. P. Carvalho J. L. M. P. de Lima |
author_facet |
M. I. P. de Lima S. C. P. Carvalho J. L. M. P. de Lima |
author_sort |
M. I. P. de Lima |
title |
Investigating annual and monthly trends in precipitation structure: an overview across Portugal |
title_short |
Investigating annual and monthly trends in precipitation structure: an overview across Portugal |
title_full |
Investigating annual and monthly trends in precipitation structure: an overview across Portugal |
title_fullStr |
Investigating annual and monthly trends in precipitation structure: an overview across Portugal |
title_full_unstemmed |
Investigating annual and monthly trends in precipitation structure: an overview across Portugal |
title_sort |
investigating annual and monthly trends in precipitation structure: an overview across portugal |
publisher |
Copernicus Publications |
publishDate |
2010 |
url |
https://doi.org/10.5194/nhess-10-2429-2010 http://www.nat-hazards-earth-syst-sci.net/10/2429/2010/nhess-10-2429-2010.pdf https://doaj.org/article/656d02e3be124633b8472e6c18a8cfe4 |
long_lat |
ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
geographic |
Kendall |
geographic_facet |
Kendall |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Natural Hazards and Earth System Sciences, Vol 10, Iss 11, Pp 2429-2440 (2010) |
op_relation |
doi:10.5194/nhess-10-2429-2010 1561-8633 1684-9981 http://www.nat-hazards-earth-syst-sci.net/10/2429/2010/nhess-10-2429-2010.pdf https://doaj.org/article/656d02e3be124633b8472e6c18a8cfe4 |
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undefined |
op_doi |
https://doi.org/10.5194/nhess-10-2429-2010 |
container_title |
Natural Hazards and Earth System Sciences |
container_volume |
10 |
container_issue |
11 |
container_start_page |
2429 |
op_container_end_page |
2440 |
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1766131423921569792 |