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Rainfall Trends in Southern Portugal at Different Time Scales

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INCREaSE 2019 (INCREaSE 2019)

Abstract

The evidence about the climate change is now considered to be unequivocal. But if visible changes are occurring at an increased rate over shorter periods, then the time series of the hydrologic variables more directly related to the climate, as rainfall or temperature, should denote progressively more pronounced signs of such changes, under the form of trends or non-homogeneities. Though some studies were previously developed for mainland Portugal, the expectable increasing signs of the changes in the values and behavior of some hydrological variables makes it essential: (i) to ensure the soundness of those studies by using the most suitable models applied to time series as long as possible; (ii) to update such studies by continuously incorporating the more recent data. In the scope briefly mentioned, the paper presents an analysis on long-term rainfall trends at different time scales in southern Portugal. For this purpose, 62 rain gages with 108 years of monthly rainfall data were analyzed based on the nonparametric Mann–Kendall (MK) test coupled with the Sen’s slope estimator method. Further an analysis about sequential changes in trends of the rainfall series was conducted using the sequential MK (SQMK) method. The study shows that the rainfall is markedly decreasing. It also provides new insights about the within-the-year relative contribution of the wettest months of the rainy period.

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References

  1. Briffa, K., Van Der Schrier, G., Jones, P.: Wet and dry summers in Europe since 1750: evidence of increasing drought. Int. J. Climatol. 29(13), 1894–1905 (2009)

    Article  Google Scholar 

  2. Pfahl, S., O’Gorman, P., Fischer, E.: Understanding the regional pattern of projected future changes in extreme precipitation. Nat. Clim. Change 7(6), 423 (2017)

    Article  Google Scholar 

  3. Donat, M., Lowry, A., Alexander, L., O’Gorman, P., Maher, N.: More extreme precipitation in the world’s dry and wet regions. Nat. Clim. Change 6(5), 508 (2016)

    Article  Google Scholar 

  4. McCarthy, J., Canziani, O., Leary, N., Dokken, D., White, K.: Climate Change 2001: Impacts, Adaptation, and Vulnerability: Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change, vol. 2. Cambridge University Press, Cambridge (2001)

    Google Scholar 

  5. Parry, M., Parry, M.L., Canziani, O., Palutikof, J., Van der Linden, P., Hanson, C.: Climate Change 2007: Impacts, Adaptation and Vulnerability: Working Group II Contribution to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, vol. 4. Cambridge University Press, Cambridge (2007)

    Google Scholar 

  6. Intergovernmental Panel on Climate Change: Climate Change 2014 – Impacts, Adaptation and Vulnerability: Part B: Regional Aspects: Working Group II Contribution to the IPCC Fifth Assessment Report. Cambridge University Press, Cambridge (2014)

    Google Scholar 

  7. Khan, M.Z.K., Sharma, A., Mehrotra, R.: Global seasonal precipitation forecasts using improved sea surface temperature predictions. J. Geophys. Res-Atmos. 122, 4773–4785 (2017). https://doi.org/10.1002/2016JD025953

    Article  Google Scholar 

  8. Lorenzo-Lacruz, J., Vicente-Serrano, S.M., González-Hidalgo, J.C., López-Moreno, J.I., Cortesi, N.: Hydrological drought response to meteorological drought at various time scales in the Iberian Peninsula. Clim. Res. 58, 117–131 (2013). https://doi.org/10.3354/cr01177

    Article  Google Scholar 

  9. Bera, S.: Trend analysis of rainfall in Ganga Basin, India during 1901-2000. Am. J. Climate Change 6, 116–131 (2017). https://doi.org/10.4236/ajcc.2017.61007

    Article  Google Scholar 

  10. Carvalho, A., Schmidt, L., Santos, F.D., Delicado, A.: Climate change research and policy in Portugal. WIREs. Clim. Change (2013). https://doi.org/10.1002/wcc.258

    Google Scholar 

  11. de Lima, M.I.P, Santo, F.E., Ramos, A.M., Trigo, R.M.: Trends and correlations in annual extreme precipitation indices for mainland Portugal, 1941–2007. Theor. Appl. Climatol. (2015). https://doi.org/10.1007/s00704-013-1079-6

    Article  Google Scholar 

  12. Soares, P., Cardoso, R., Ferreira, J., Miranda, P.: Climate change and the Portuguese precipitation: ENSEMBLES regional climate models results. Clim. Dynam. 45(7–8), 1771–1787 (2015)

    Article  Google Scholar 

  13. de Lima, M.I.P., Santo, F.E., Ramos, A.M., Trigo, R.M.: Trends and correlations in annual extreme precipitation indices for mainland Portugal, 1941–2007. Theor. Appl. Climatol. 119(1–2), 55–75 (2015)

    Article  Google Scholar 

  14. Portela, M.M., Quintela, A.C.: Indícios de mudança climática em séries de precipitação em Portugal Continental. Recursos Hídricos, APRH, 19 (2 e 3), pp. 41–74, ISSN 0870-1741 (1998)

    Google Scholar 

  15. Santos, F.D., Forbes, K., Moita, R.: Climate change in Portugal: scenarios, impacts and adaptation measures (SIAM Project). Lisbon, Gradiva (2002). http://siam.fc.ul.pt/siamI_pdf/

  16. Miranda, P.M.A., Coelho, F.E.S., Tomé, A.R., Valente, M.A., Carvalho, A., Pires, C., Pires, H.O., Pires, V.C., Ramalho, C.: 20th century Portuguese climate and climate scenarios. In: Santos, F.D., Forbes, K., Moita, R. (eds.) Climate Change in Portugal: Scenarios, Impacts and Adaptation Measures (SIAM Project), vol. 454, pp. 23–83, Gradiva (2002)

    Google Scholar 

  17. Pauling, A., Paeth, H.: On the variability of return periods of European winter precipitation extremes over the last five centuries. Clim. Past Discuss. 2, 157–189 (2006)

    Article  Google Scholar 

  18. Rodrigo, F.S., Trigo, R.M.: Trends in daily rainfall in the Iberian Peninsula from 1951 to 2002. Int. J. Climatol. 27, 513–529 (2007). https://doi.org/10.1002/joc.1409

    Article  Google Scholar 

  19. Lopez-Moreno, J., Vicente-Serrano, S., Gimeno, L., Nieto, R.: Stability of the seasonal distribution of precipitation in the mediterranean region: observations since 1950 and projections for the 21st century. Geophys. Res. Lett. 36, 10703 (2009)

    Article  Google Scholar 

  20. Portela, M.M., Santos, J.F., Quintela, A.C., Vaz, C., Martins, C.: About the trend detection in Portuguese long hydrologic time series and the climate change. Regional rainfall 2010. In: Regional Expert Meeting on Rainfall-Runoff analysis and Climate Change at the Balkans, Serbia and Montenegro (2010)

    Google Scholar 

  21. Sousa, P.M., Trigo, R.M., Aizpurua, P., Nieto, R., Gimeno, L., Garcia-Herrera, R.: Trends and extremes of drought indices throughout the 20th century in the Mediterranean. Nat. Hazards Earth Syst. Sci. 11, 33–51 (2011)

    Article  Google Scholar 

  22. Santos, M., Fragoso, M.: Precipitation variability in Northern Portugal data homogeneity assessment and trends in extreme precipitation indices. Atmos. Res. 1313, 34–45 (2013). https://doi.org/10.1016/j.atmosres.2013.04.008

    Article  Google Scholar 

  23. Portela, M.M., Santos, J.F., Silva, A.T.: Trends in rainfall and streamflow series: Portuguese case studies. International Journal of Safety and Security Engineering. An interdisciplinary journal for research and application, SAFE, WIT Press J. 4(3), 221–248, ISSN: 2041-904X (online), ISSN: 2041-9031 (2014). https://doi.org/10.2495/SAFE-V4-N3-221-248

    Article  Google Scholar 

  24. Páscoa, P., Gouveia, C.M., Russo, A., Trigo, R.M.: Drought trends in the Iberian Peninsula over the last 112 years. Adv. Meteorol. (2017). https://doi.org/10.1155/2017/4653126

    Article  Google Scholar 

  25. Mudelsee, M.: Trend analysis of climate time series: a review of methods. Earth-Sci. Rev. 190, 310–322 (2019). https://doi.org/10.1016/j.earscirev.2018.12.005

    Article  Google Scholar 

  26. Pereira, L.S., Louro, V., Rosário, L., Almeida, A.: Desertification, territory and people, a holistic approach in the Portuguese context. In: Kepner, W.G., Rubio, J.L., Mouat, D.A., Pedrazzini, F. (eds.) Desertification in the Mediterranean Region: a Security Issue, NATO Sc.Com.. AK/Nato Publishing Unit, pp. 269–289. Springer-Verlag, Dordrecht (2006)

    Google Scholar 

  27. SNIRH Homepage. https://snirh.apambiente.pt/. Accessed 28 Feb 2019

  28. Santos, J.F., Pulido-Calvo, I., Portela, M.M.: Spatial and temporal variability of droughts in Portugal. Water Resour. Res. 46, W03503 (2010). https://doi.org/10.1029/2009WR008071

    Article  Google Scholar 

  29. Portela, M.M., Zelenáková, M., Santos, J.F., Purcz, P., Silva, A.T., Hlavatá, H.: A comprehensive drought analysis in Slovakia using SPI. Eur. Water 51, 15–31 (2015). http://www.ewra.net/ew/pdf/EW_2015_51_02.pdf

    Google Scholar 

  30. Mann, H.B.: Nonparametric tests against trend. Econometrica, 245–259 (1945)

    Article  MathSciNet  Google Scholar 

  31. Kendall, M.G.: Rank Correlation Methods. The British Psychological Society, New York (1955)

    MATH  Google Scholar 

  32. Goossens, C., Berger, A.: Annual and seasonal climatic variations over the Northern Hemisphere and Europe during the last century. Ann. Geophys. 4, 385–400 (1986)

    Google Scholar 

  33. Gallego, M.C., Trigo, R.M., Vaquero, J.M., Brunet, M., García, J.A., Sigró, J., Valente, M.A., et al.: Trends in frequency indices of daily precipitation over the Iberian Peninsula during the last century. J. Geophys. Res. 116, D02109 (2011). https://doi.org/10.1029/2010jd014255

    Article  Google Scholar 

  34. Burn, D.H., Hag Elnur, M.A.: Detection of hydrologic trends and variability. J. Hydrol. 255, 107–122 (2002)

    Article  Google Scholar 

  35. Sen, P.K.: Estimates of the regression coefficient based on Kendall’s tau. J. Am. Stat. Assoc. 63(324), 1379–1389 (1968)

    Article  MathSciNet  Google Scholar 

  36. Martínez, M.D., Lana, X., Burgueño, A., Serra, C.: Spatial and temporal daily rainfall regime in Catalonia (NE Spain) derived from four precipitation indices, years 1950–2000. Int. J. Climatol. 27, 123–138 (2007). https://doi.org/10.1002/joc.1369

    Article  Google Scholar 

  37. Shifteh Some’e, B., Ezani, A., Tabari, H.: Spatiotemporal trends and change point of precipitation in Iran. Atmos. Res. 113, 1–12 (2012). https://doi.org/10.1016/j.atmosres.2012.04.016

    Article  Google Scholar 

  38. Yue, S., Pilon, P., Phinney, B., Cavadias, G.: The influence of autocorrelation on the ability to detect trend in hydrological series. Hydrol. Process. 16, 1807–1829 (2002). https://doi.org/10.1002/hyp.1095

    Article  Google Scholar 

  39. Sayemuzzaman, M., Jha, M.K.: Seasonal and annual precipitation time series trend analysis in North Carolina. U.S. Atmos. Res. 137, 183–194 (2014)

    Article  Google Scholar 

  40. Clark, I.: Practical Geostatistics. Applied Science Publishers, London (1979)

    MATH  Google Scholar 

  41. Sonali, P., Nagesh, K.D.: Review of trend detection methods and their application to detect temperature changes in India. J. Hydrol. 476, 212–227 (2013)

    Article  Google Scholar 

  42. Kenney, J.F., Keeping, E. S.: Moving averages. §14.2 in Mathematics of Statistics, Pt. 1, 3rd edn. Van Nostrand, Princeton, pp. 221–223 (1962)

    Google Scholar 

  43. Whittaker, E.T., Robinson, G.: Graduation or the smoothing of data. In: The Calculus of Observations A Treatise on Numerical Mathematics, pp. 285–316. Dover, New York (1967)

    Google Scholar 

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Acknowledgment

This work is funded by the FCT - Scientific Cooperation Agreement between Portugal and Slovakia – 2019/2020, SK-PT-18-0008, regarding the first and fourth authors, by FCT - grant n.º PD/BD/128509/2017, as for the second, and by the CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brazil, finance code 001, as for the third author.

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Correspondence to Maria Manuela Portela .

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Portela, M.M., Espinosa, L.A., Studart, T., Zelenakova, M. (2020). Rainfall Trends in Southern Portugal at Different Time Scales. In: Monteiro, J., et al. INCREaSE 2019. INCREaSE 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-30938-1_1

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  • DOI: https://doi.org/10.1007/978-3-030-30938-1_1

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