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Multi-year variability or unidirectional trends? Mapping long-term precipitation and temperature changes in continental Southeast Asia using PRECIS regional climate model

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Abstract

The subject of change detection in climate time series has recently received greater interest as the perception of a human-induced change in the climate is now widely accepted. However, changes in regional precipitation and temperature remain uncertain. This study characterizes projected fine-scale changes in precipitation and temperature in continental Southeast Asia over the period 1960–2049. Twenty four annual variables were derived from grid-based daily precipitation and temperature produced by the PRECIS regional climate model under A2 and B2 scenarios. These time series, capturing precipitation intensities (classified as low, medium and high), seasonality and extremes in precipitation and temperature, were subjected to the modified Mann-Kendall trend detection test accounting for long-term persistence. The results indicate that temperature increases over the whole region with steeper trends in higher latitudes. Increases in annual precipitation, mainly restricted to Myanmar and the Gulf of Thailand, result from increases in high precipitation during the wet season. Decreases are observed mainly over the sea and caused by a reduction of low precipitation. Changes in the occurrence of the monsoon affect the low-latitude sea areas only. By showing that significant precipitation change are minor over land areas, these results challenge most of the previous studies that suggested significant precipitation changes over Southeast Asia, often mixing up multi-decadal variability and long-term unidirectional trends. Significant changes in precipitation and temperature may induce higher agricultural yields as steepest temperature and precipitation increases will predominantly affect the coldest and driest land areas of the region.

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References

  • Anshory-Yusuf A, Francisco H (2009) Climate change vulnerability mapping for Southeast Asia. Economy and Environment Program for Southeast Asia, Singapore

    Google Scholar 

  • Barker R, Molle F (2004) Evolution of irrigation in South and Southeast Asia. International Water Management Institute, Colombo

    Google Scholar 

  • Beran J (1994) Statistics for long-memory processes. Monographs on statistics and applied probability. Chapman & Hall, New York

    Google Scholar 

  • Cherchi A, Navarra A (2003) Reproducibility and predictability of the Asian summer monsoon in the ECHAM4-GCM. Clim Dyn 20(4):365–379

    Google Scholar 

  • Chinvanno S (2009) Future climate projection for Thailand and surrounding countries: climate change scenario of 21st century. The first China-Thailand joint seminar on climate change, 23–24 March 2009, Bangkok

  • Cox DR, Stuart A (1955) Some quick sign tests for trend in location and dispersion. Biometrika 42:80–95

    Google Scholar 

  • Dore MHI (2005) Climate change and changes in global precipitation patterns: what do we know? Environ Int 31:1167–1181

    Article  Google Scholar 

  • Eastham J, Mpelasoka F, Mainuddin M, Ticehurst C, Dyce P, Hodgson G, Ali R, Kirby M (2008) Mekong River basin water resources assessment: impacts of climate change. CSIRO: Water for a Healthy Country National Research Flagship

  • Flato GM, Boer GJ, Lee WG, Mac Farlane NA, Ramsden D, Reader MC, Weaver AJ (2000) The Canadian centre for climate modelling and analysis global coupled model and its climate. Clim Dyn 16:451–467

    Article  Google Scholar 

  • Frich P, Alexander LV, Della-Marta PM, Gleason B, Haylock MR, Klein Tank AMG, Peterson T (2002) Observed coherent changes in climatic extremes during the second half of the twentieth century. Clim Res 19:193–212

    Article  Google Scholar 

  • Gordon HB, Rotstayn LD, Mac Gregor JL, Dix MR, Kowalczyk EA, O’Farrel SP, Waterman LJ, Hirst AC, Wilson SG, Collier MA, Watterson IG, Elliott TI (2002) The CSIRO Mk3 Climate System Model. CSIRO Atmospheric Research, Victoria

    Google Scholar 

  • Goswami BN, Xavier PK (2005) ENSO control on the south Asian monsoon through the length of the rainy season. Geophys Res Lett 32:L18717

    Article  Google Scholar 

  • Hamed KH (2008) Trend detection in hydrologic data: the Mann-Kendall trend test under the scaling hypothesis. J Hydrol 349:350–363

    Article  Google Scholar 

  • Hoanh CT, Guttman H, Droogers P, Aerts J (2003) ADAPT: water, climate, food and environment under climate change. The Mekong basin in Southeast Asia. International Water Management Institute, Mekong River Commission, Future Water, Institute of Environmental Studies. Colombo, Phnom-Penh, Wageningen

  • Hogg RV, Tanis EA (1988) Probability and statistical inference. Macmillan Publishing Company, New York

    Google Scholar 

  • Hurst HE (1951) Long term storage capacities of reservoirs. Trans Am Soc Civ Eng 116:776–808

    Google Scholar 

  • IPCC (2007) Climate change 2007: synthesis report. Contribution of working groups I, II and III to the fourth assessment report of the Intergovernmental Panel on Climate Change. Pachauri RK Reisinger A (eds) Geneva

  • Islam SU, Rehman N, Sheikh MM (2009) Future change in the frequency of warm and cold spells over Pakistan simulated by the PRECIS regional climate model. Clim Chang 94:35–45

    Article  Google Scholar 

  • Johns TC, Gregory JM, Ingram WJ, Johnson CE, Jones A, Lowe JA, Mitchell JFB, Roberts DL, Sexton DMH, Stevenson DS, Tett SFB, Woodage MJ (2003) Anthropogenic climate change for 1860 to 2100 simulated with the HadCM3 model under updated emissions scenarios. Clim Dyn 20:583–612

    Google Scholar 

  • Jones RG, Noguer M, Hassell DC, Hudson D, Wilson SS, Jenkins GJ, Mitchell JFB (2004) Generating high resolution climate change scenarios using PRECIS. Met Office Hadley Centre, Exeter

    Google Scholar 

  • Kendall MG (1975) Rank correlation methods. Griffin, London

    Google Scholar 

  • Kendall MG, Stuart A (1976) The advanced theory of statistics. Distribution theory (1). Griffin, London

  • Koutsoyiannis D (2002) The Hurst phenomenon and fractional Gaussian noise made easy. Hydrol Sci J 47(4):573–596

    Article  Google Scholar 

  • Koutsoyiannis D, Efstratiadis A, Mamassis N, Christofides A (2008) On the credibility of climate predictions. Hydrol Sci J 53(4):671–684

    Article  Google Scholar 

  • Kumar KR, Sahai AK, Kumar KK, Patwardhan SK, Mishra PK, Revadekar JV, Kamala K, Pant GB (2006) High-resolution climate change scenarios for India for the 21st century. Curr Sci 90(3):334–345

    Google Scholar 

  • Lashof DA, Ahuja DR (1990) Relative contributions of greenhouse gas emissions to global warming. Nature 344:529–531

    Article  Google Scholar 

  • Mac Sweeney C, New M, Lizcano G (2008) UNDP climate change country profiles: documentation. School of Geography and the Environment of the University of Oxford, Oxford

    Google Scholar 

  • MacLeod AI, Hipel KW (1978) Preservation of the rescaled adjusted range, 1. A reassessment of the Hurst phenomenon. Water Resour Res 14(3):491–508

    Article  Google Scholar 

  • Mann HB (1945) Nonparametric tests against trend. Econometrica 13:245–259

    Article  Google Scholar 

  • Manton MJ, Della-Marta PM, Haylock MR, Hennessy KJ, Nicholls N, Chambers LE, Collins DA, Daw G, Finet A, Gunawan D, Inape K, Isobe H, Kestin TS, Lefale P, Leyu CH, Lwin T, Maitrepierre L, Ouprasitwong N, Page CM, Pahalad J, Plummer N, Salinger MJ, Suppiah R, Tran VL, Trewin B, Tibig I, Yee D (2001) Trends in extreme daily rainfall and temperature in southeast Asia and the south Pacific: 1961–1998. Int J Climatol 21:269–284

    Article  Google Scholar 

  • Marengo JA, Jones R, Alves LM, Valverde MC (2009) Future change of temperature and precipitation extremes in South America as derived from the PRECIS regional climate modeling system. Int J Climatol 29(15):2241–2255

    Article  Google Scholar 

  • Matsui T, Omasa K (2002) Rice (Oryza sativa L.) cultivars tolerant to a high temperature at flowering: anther characteristics. Ann Bot 89:683–687

    Article  Google Scholar 

  • Nakicenovic N, Alcamo J, Davis G, de Vries B, Fenhann J, Gaffin S, Gregory K, Grübler A, Jung TY, Kram T, La Rovere EL, Michaelis L, Mori S, Morita T, Pepper W, Pitcher H, Price L, Raihi K, Roehrl A, Rogner HH, Sankovski A, Schlesinger M, Shukla P, Smith S, Swart R, van Rooijen S, Victor N, Dadi Z (2000) Emissions scenarios. A special report of working group III of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge

    Google Scholar 

  • Peng S, Huang J, Sheehy JE, Laza RC, Visperas RM, Zhong X, Centeno GS, Khush GS, Cassman KG (2004) Rice yields decline with higher night temperature from global warming. Proc National Acad Sci 101:9971–75

    Article  Google Scholar 

  • Previdi M, Liepert BG (2008) Interdecadal variability of rainfall on a warming planet. Eos Trans. AGU 89(21)

  • Roeckner E, Arpe K, Bengtsson L, Christoph M, Claussen M, Dumenil L, Esch M, Giorgetta M, Schlese U, Schulzweida U (1996) The atmospheric general circulation model ECHAM4: model description and simulation of present-day climate. Max Planck Inst. Meteorol, Hamburg

    Google Scholar 

  • Ruosteenoja K, Carter TR, Jylhä K, Tuomenvirta H (2003) Future climate in world regions: an intercomparison of model-based projections for the new IPCC emissions scenarios. Finnish Environment Institute, Helsinki

    Google Scholar 

  • Salim E (2009) The economics of climate change in Southeast Asia: a regional review. Asian Development Bank, Jakarta

    Google Scholar 

  • Sano M, Buckley BM, Sweda T (2009) Tree-ring based hydroclimate reconstruction over northern Vietnam from Fokienia hodginsii: eighteenth century mega-drought and tropical Pacific influence. Clim Dyn 33:331–340

    Article  Google Scholar 

  • Sen PK (1968) Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc 63:1379–1389

    Google Scholar 

  • Snidvongs A, Choowaew S, Chinvanno S (2003) Impact of climate change on water and wetland resources in Mekong river basin: directions for preparedness and action. IUCN and Southeast Asia START Regional Center, Bangkok

    Google Scholar 

  • Sun Y, Solomon S, Dai A, Portmann RW (2006) How often does it rain? J Clim 19:916–934

    Article  Google Scholar 

  • Tadross M, Jack C, Hewitson B (2005) On RCM-based projections of change in southern African summer climate. Geophys Res Lett 32:LXXXXX

    Google Scholar 

  • TKK and SEA START RC (2009) Water and climate change in the lower Mekong Basin: diagnosis and recommendations for adaptation. Water and Development Research Group, Helsinki University of Technology (TKK), Southeast Asia START Regional Center (SEA START RC). Water and Development Publications, Espoo

  • Trenberth KE (2005) The impact of climate change and variability on heavy precipitation, floods, and droughts. Encyclopedia of hydrological sciences. Anderson MG (ed), John Wiley and Sons

  • Vastila K, Kummu M, Sangmanee C, Chinvanno S (2010) Modelling climate change impacts on the flood pulse in the Lower Mekong floodplains. J Water Clim Chang 1(1):67–86

    Article  Google Scholar 

  • Webster PJ, Magana VO, Palmer TN, Shukla J, Tomas RA, Yanagi M, Yasunari T (1998) Monsoons: process, predictability and the prospects for prediction. J Geogr Res 103(C7):14451–14510

    Article  Google Scholar 

  • World Meteorological Organization (1996) Climatological normal (CLINO) for the period 1961–1990. WMO Publication 847

  • Zhang Y, Xu Y, Dong W, Cao L, Sparrow M (2006) A future climate scenario of regional changes in extreme climate events over China using the PRECIS climate model. Geophys Res Lett 33:L24702

    Article  Google Scholar 

  • Zhou W, Chan JCL (2007) ENSO and the South China Sea summer monsoon onset. Int J Climatol 27:157–167

    Article  Google Scholar 

Download references

Acknowledgements

The study was supported by the Swedish International Development Agency and by the International Water Management Institute. The authors are grateful to Suppakorn Chinvanno from the SEA-START Regional Center in Bangkok, Thailand, for the provision of the PRECIS data sets.

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Correspondence to Guillaume Lacombe.

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Lacombe, G., Hoanh, C.T. & Smakhtin, V. Multi-year variability or unidirectional trends? Mapping long-term precipitation and temperature changes in continental Southeast Asia using PRECIS regional climate model. Climatic Change 113, 285–299 (2012). https://doi.org/10.1007/s10584-011-0359-3

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  • DOI: https://doi.org/10.1007/s10584-011-0359-3

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