References

NHESS

Natural Hazards and Earth System Sciences

NHESS

Nat. Hazards Earth Syst. Sci.

1684-9981

Copernicus Publications

Göttingen, Germany

10.5194/nhess-10-2429-2010

Investigating annual and monthly trends in precipitation structure: an overview across Portugal

de Lima

M. I. P.

³ ¹ Carvalho

S. C. P.

³ ² de Lima

J. L. M. P.

² ³

Department of Forest Resources, Coimbra College of Agriculture, Polytechnic Institute of Coimbra, Bencanta, 3040-316 Coimbra, Portugal

Department of Civil Engineering, Faculty of Science and Technology, Campus II – University of Coimbra, Rua Luís Reis Santos, 3030-788 Coimbra, Portugal

IMAR – Marine and Environmental Research Centre, Department of Life Sciences, Faculty of Science and Technology, University of Coimbra, 3004-517 Coimbra, Portugal

30 11 2010

10 11 2429 2440

2010

This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/

This article is available from https://nhess.copernicus.org/articles/10/2429/2010/nhess-10-2429-2010.html

The full text article is available as a PDF file from https://nhess.copernicus.org/articles/10/2429/2010/nhess-10-2429-2010.pdf

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.

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