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Projected Future Precipitation Scenarios for a Small Island State: The Case of Mauritius

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Climate Change and Water Resources

Part of the book series: The Handbook of Environmental Chemistry ((HEC,volume 25))

Abstract

The economies of small island developing states (SIDS) can be sensitive to climate variability in the future. In this chapter, we use four of IPCC’s Fourth Assessment Global Circulation Models (GCMs) to produce precipitation projections for the next 90 years for the small island state of Mauritius. We focus our projections on the Vacoas-Phoenix region of this island because (a) this is the central region of the island, where all the major water reservoirs are located, (b) this region has normally higher precipitation and a higher variability of precipitation than the coastal regions, and (c) the rainfall in the mountainous part of this region feeds most of the rivers. Thus we expect that the groundwater recharge rate is probably more sensitive to precipitation in this region. Our results show that historically wetter months are likely to become wetter while drier months could become even drier than currently observed, but the net annual precipitation is likely to decline. This can have a significant impact on the growing tourist industry in the region which is likely to strain its water resources.

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Notes

  1. 1.

    For details on the HADGEM1 model see Refs. [10–12].

  2. 2.

    For details see Refs. [13, 14].

  3. 3.

    The “EC” part of the ECHAM refers to the European Centre for Medium-Range Weather Forecasts while the “HAM” portion refers to the place the model was developed – Hamburg. For details of the model see Ref. [15].

  4. 4.

    For details see Ref. [17].

  5. 5.

    ARIMA methodology developed by Box and Jenkins [18].

  6. 6.

    Not shown but can be provided by the authors.

References

  1. IPCC (2007) Climate change 2007: synthesis report. In: Core Writing Team, Pachauri RK, Reisinger A (eds) Contribution of working groups I, II and III to the fourth assessment report of the intergovernmental panel on climate change, IPCC, Geneva, p 104

    Google Scholar 

  2. Mimura N, Nurse L, McLean RF, Agard J, Briguglio L, Lefale P et al (2007) Small islands. climate change 2007: impacts, adaptation and vulnerability. In: Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (eds) Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change, Cambridge University Press, Cambridge, pp 687–716

    Google Scholar 

  3. IPCC (2001) Climate change 2001: Working Group II: impacts, adaptation and vulnerability. Small Island States. http://www.grida.no/publications/other/ipcc_tar/. Accessed 1 December 2012

  4. IPCC (2010) Workshop report of the intergovernmental panel on climate change workshop on sea level rise and ice sheet instabilities. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen S, Midgley PM (eds) IPCC Working Group I Technical Support Unit, University of Bern, Bern, p 227

    Google Scholar 

  5. World Meteorological Organization (2004). Saving paradise – ensuring sustainable development. WMO. No. 973, Geneva, Switzerland

    Google Scholar 

  6. Mauritius Meteorological Services (2012) Climate change: climate change and sea level rise in Mauritius. http://metservice.intnet.mu/?cat=46. Accessed 1 December 2012

  7. International Council for Local Environmental Initiative (2011) Sub-Saharan African Cities: a Five-City network to pioneer climate adaptation through participatory research and local action: Port Louis Baseline Study. ICLEI – Local Governments for Sustainability, Africa

    Google Scholar 

  8. Mauritius Chamber of Commerce and Industry (2012) online bulletin dated June 2012. http://www.mcci.org/economy_figures.aspx#NationalAccounts Accessed 21 December 2012

  9. Google Maps (2012) [Mauritius][Street view] http://maps.google.ca/maps?hl=en&qscrl= 1&rlz=1T4TSCA_enCA447CA447&bpcl=39468505&ion=1&bav=on.2,or.r_gc.r_pw.r_qf.& biw=1366&bih=566&wrapid=tlif135468119329210&q=mauritius&um=1&ie=UTF-8&hq=&hnear=0x217c504df94474c9:0x4203d9c2116bd031,Mauritius&gl=ca&sa=X&ei=MMq-UOOLBuGkyQGOwYCgBg&ved=0CJcBELYD. Accessed 1 December 2012

  10. Johns TC, Durman CF, Banks HT, Roberts MJ, McLaren AJ, Ridley JK et al (2006) The new Hadley Centre climate model HadGEM1: evaluation of coupled simulations. J Clim 19:1327–1353

    Article  Google Scholar 

  11. Martin GM, Ringer MA, Pope VD, Jones A, Dearden C, Hinton TJ (2006) The physical properties of the atmosphere in the new Hadley Centre Global Environmental Model, HadGEM1. Part 1: model description and global climatology. J Clim 19:1274–1301

    Article  Google Scholar 

  12. Ringer MA, Martin GM, Greeves CZ, Hinton TJ, James PM, Pope VD et al (2006) The physical properties of the atmosphere in the new Hadley Centre Global Environmental Model, HadGEM1. Part 2: aspects of variability and regional climate. J Clim 19:1302–1326

    Article  Google Scholar 

  13. McFarlane NA, Scinocca JF, Lazare M, Harvey R, Verseghy D, Li J (2005) The CCCma third generation atmospheric general circulation model. Centre for Climate Modelling and Analysis. Internal Rep p 25

    Google Scholar 

  14. Scinocca JF, McFarlane NA, Lazare M, Li J, Plummer D (2008) The CCCma third generation AGCM and its extension into the middle atmosphere. Atmos Chem Phys 8:7055–7074

    Article  CAS  Google Scholar 

  15. Roeckner E, Bäuml G, Bonaventura L, Brokopf R, Esch M, Giorgetta MS et al (2003) The atmospheric general circulation model ECHAM 5. PART I: Model description. Max Planck Institute for Meteorology. MPI-Report No. 349

    Google Scholar 

  16. Hanke JE, Wichern DW (2005) Business forecasting, 8th edn. Pearson Practice Hall, New Jersey

    Google Scholar 

  17. Gordon H, O’Farrell S, Collier M, Dix M, Rotstayn L, Kowalczyk E et al (2010) The CSIRO Mk3.5 Climate Model. The Centre for Australian Weather and Climate Research Technical Report. No. 021

    Google Scholar 

  18. Box G, Jenkins G (1970) Time series analysis: forecasting and control. Holden-Day, San Francisco

    Google Scholar 

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Correspondence to Mohammed H. I. Dore .

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Dore, M.H.I., Singh, R.G. (2013). Projected Future Precipitation Scenarios for a Small Island State: The Case of Mauritius. In: Younos, T., Grady, C. (eds) Climate Change and Water Resources. The Handbook of Environmental Chemistry, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/698_2013_221

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