Future Changes in Temperature and Precipitation Extremes in the State of Rio de Janeiro (Brazil)


In this study, we document the air temperature and precipitation changes between present-day conditions and those projected for the period 2041-2070 in the state of Rio de Janeiro (Brazil) by means of Eta driven by HadCM3 climate model output, considering the variation among its four ensemble members. The main purpose is to support studies of vulnerability and adaptation policy to climate change. In relation to future projections of temperature extremes, the model indicates an increase in average minimum (maximum) temperature of between +1.1°C and +1.4°C (+1.0°C and +1.5°C) in the state by 2070, and it could reach maximum values of between +2.0°C and +3.5°C (+2.5°C and +4.5°C). The model projections also indicate that cold nights and days will be much less frequent in Rio de Janeiro by 2070, while there will be significant increases in warm nights and days. With respect to annual total rainfall, the Northern Region of Rio de Janeiro displays the greatest variation among members, indicating changes ranging from a decrease of -350 mm to an increase of +300 mm during the 21st century. The southern portion of the state has the largest increase in annual total rainfall occurring due to heavy rains, ranging from +50 to +300 mm in the period 2041-2070. Consecutive dry days will increase, which indicates poorly time distributed rainfall, with increased rainfall concentrated over shorter time periods.

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Silva, W. , Dereczynski, C. , Chou, S. and Cavalcanti, I. (2014) Future Changes in Temperature and Precipitation Extremes in the State of Rio de Janeiro (Brazil). American Journal of Climate Change, 3, 353-365. doi: 10.4236/ajcc.2014.34031.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Stocker, T.F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.K., Boschung, J., Nauels, A., Xia, Y., Bex, V. and Midgley, P.M., Eds., Intergovernmental Panel on Climate Change—IPCC: Climate Change 2013 (2013) The Physical Science Basis—Contribution of Working Group I to the Fifth Assessment Report of the IPCC. Cambridge University Press, Cambridge, New York, 1535 p.
[2] Brazilian Institute of Geography and Statistics (2010) Database.
[3] Luiz Silva, W. and Dereczynski, C.P. (2014) Caracterizacao Climatologica e Tendencias Observadas em Extremos Climaticos no Estado do Rio de Janeiro. Anuario do Instituto de Geociencias, 37:2. Federal University of Rio de Janeiro, Rio de Janeiro.
[4] Mesinger, F., et al. (2012) An Upgraded Version of the Eta Model. Meteorology and Atmospheric Physics, 116, 63-79.
[5] Chou, S.C., et al. (2012) Downscaling of South America Present Climate Driven by 4-Member HadCM3 Runs. Climate Dynamics, 38, 635-653.
[6] Marengo, J.A., et al. (2012) Development of Regional Future Climate Change Scenarios in South America Using the Eta CPTEC/HadCM3 Climate Change Projections: Climatology and Regional Analyses for the Amazon, Sao Francisco and the Parana River Basins. Climate Dynamics, 38, 1829-1848.
[7] Gordon, C., Cooper, C., Senior, C.A., Banks, H., Gregory, J.M., Johns, T.C., Mitchell, J.F.B. and Wood, R.A. (2000) Simulation of SST, Sea Ice Extents and Ocean Heat Transport in a Version of the Hadley Centre Coupled Model without Flux Adjustments. Climate Dynamics, 16, 147-168.
[8] Pope, V., Gallani, M., Rowtree, P. and Stratton, R. (2000) The Impact of New Physical Parameterizations in the Hadley Centre Climate Model. Climate Dynamics, 16, 123-146.
[9] Intergovernmental Panel on Climate Change—IPCC: Climate Change 2007 (2007) The Physical Science Basis— Working Group I Contribution to the IPCC Fourth Assessment Report. Cambridge University Press, Cambridge, New York.
[10] Marengo, J.A., Rusticucci, M., Penalba, O. and Renom, M. (2010) An Intercomparison of Observed and Simulated Extreme Rainfall and Temperature Events during the Last Half of the Twentieth Century: Part 2: Historical Trends. Climatic Change, 98, 509-529.
[11] Collins, M., Booth, B.B.B., Harris, G.R., Murphy, J.M., Sexton, D.M.H. and Webb, M.J. (2006) Towards Quantifying Uncertainty in Transient Climate Change. Climate Dynamics, 27, 127-147.
[12] Nakicenovic, N., et al. (2000) Special Report on Emissions Scenarios. Cambridge University Press, Cambridge, 599 p.
[13] Black, T.L. (1994) The New NMC Mesoscale Eta Model: Description and Forecast Examples. Weather and Forecasting, 9, 256-278.
[14] Bustamente, J., Gomes, J.L. and Chou, S.C. (2006) 5-Year Eta Model Seasonal Forecast Climatology over South America. 8th Inter Conference on Southern Hemisphere Meteorology and Oceanography, Foz do Iguacu, 24-28 April 2006, 503-506.
[15] Mesinger, F. (1984) A Blocking Technique for Representation of Mountains in Atmospheric Models. Rivista di Meteorologia Aeronautica, 44, 195-202.
[16] Mellor, G.L. and Yamada, T. (1974) A Hierarchy of Turbulence Closure Models for Boundary Layers. Journal of Atmospheric Sciences, 31, 1791-1806.
[17] Fels, S.B. and Schwarzkopf, M.D. (1975) The Simplified Exchange Approximation: A New Method for Radiative Transfer Calculations. Journal of Atmospheric Sciences, 32, 1475-1488.
[18] Lacis, A.A. and Hansen, J.E. (1974) A Parameterization of the Absorption of Solar Radiation in Earth’s Atmosphere. Journal of Atmospheric Sciences, 31, 118-133.
[19] Betts, A.K. and Miller, M.J. (1986) A New Convective Adjustment Scheme. Part II: Single Column Tests Using GATE Wave, BOMEX, ATEX and Arctic Air-Mass Data Sets. Quarterly Journal of the Royal Meteorological Society, 112, 693-709.
[20] Janjic, Z.I. (1994) The Step-Mountain Eta Coordinate Model: Further Developments of the Convection, Viscous Sublayer and Turbulence Closure Schemes. Monthly Weather Review, 122, 927-945.
[21] Zhao, Q. and Carr, F.H. (1997) A Prognostic Cloud Scheme for Operational NWP Models. Monthly Weather Review, 125, 1931-1953.
[22] Ek, M.B., Mitchell, K.E., Lin, Y., Rogers, E., Grunmann, P., Koren, V., Gayno, G. and Tarpley, J.D. (2003) Implementation of Noah Land Surface Advances in the National Centers for Environmental Prediction Operational Mesoscale Eta Model. Journal of Geophysical Researches: Atmospheres, 108, 8851.
[23] Zhang, X. and Yang, F. (2004) RClimDex (1.0)—User Manual. Climate Research Branch Environment Canada Downsview, Ontario.
[24] Luiz Silva, W. (2012) Tendencias Observadas e Projecoes Futuras de Extremos Climaticos na Cidade do Rio de Janeiro. Monograph, Federal University of Rio de Janeiro, Rio de Janeiro.
[25] Dereczynski, C.P., Luiz Silva, W. and Marengo, J. (2013) Detection and Projections of Climate Change in Rio de Janeiro, Brazil. American Journal of Climate Change, 2, 25-33.

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