The objective of this work is to assess the impacts of IPCC AR5 climate change scenarios on water resources and hydrological processes across the entire Brazilian territory. Hydrological simulations are carried out in total drainage area of about 11,535,645 km 2 and average stream flow of about 272,460 m 3 /s. The study area consists of different climates and land covers such as the Amazon Forest, Northeast Semiarid, Brazilian Savannah, Pantanal wetlands and temperate climate in the South. The atmospheric forcing to drive the large-scale hydrological model MGB-IPH is derived from the downscaling of two global climate models, HadGEM2-ES and MIROC5, by the Eta Regional Climate Model, at 20 km resolution. The Eta model provided the downscaling of the baseline (1961-1990) and three time-slices (2011-2040, 2041-2070 and 2071-2099). These projections adopted two emission scenarios, the RCP 4.5 and RCP 8.5. The change in the average and extremes of precipitation, evapotranspiration, rates of river discharge and soil moisture were assessed. The simulations showed the response of the hydrographic regions due to change of precipitation and potential evapotranspiration in the scenarios. Water availability decreases in almost the entire study area (exception for the South) and the major basins for hydroelectric power generation are affected. The Northwest, Amazon and a small area along the Northeast Atlantic coast exhibited intensification of the extremes discharges, where the anomaly is positive for high-flow ( Q 10 ) and negative for low-flow ( Q 95 ). The results highlight the most climatic sensitive regions in Brazil in terms of hydrological variables and water resources.
Magrin, G.O., et al. (2014) Central and South America. In: Barros, V.R., et al., Eds., Climate Change 2014: Impacts, Adaptation, and Vulnerability, Part B: Regional Aspects, Cambridge University Press, Cambridge, 1499-1566.
Ribeiro Neto, A., Scott, C.A., Lima, E.A., Montenegro, S.M.G.L. and Cirilo, J.A. (2014) Infrastructure Sufficiency in Meeting Water Demand under Climate-Induced Socio-Hydro-logical Transition in the Urbanizing Capibaribe River Basin—Brazil. Hydrology and Earth System Sciences, 18, 3449-3459. http://dx.doi.org/10.5194/hess-18-3449-2014
Siqueira Jr., J.L., Tomasella, J. and Rodriguez, D.A. (2015) Impacts of Future Climatic and Land Cover Changes on the Hydrological Regime of the Madeira River Basin. Climatic Change, 129, 117-129. http://dx.doi.org/10.1007/s10584-015-1338-x
Nóbrega, M.T., Collischonn, W., Tucci, C.E.M. and Paz, A.R. (2011) Uncertainty in Climate Change Impacts on Water Resources in the Rio Grande Basin, Brazil. Hydrology and Earth System Sciences, 15, 585-595. http://dx.doi.org/10.5194/hess-15-585-2011
Gosling, S.N. and Arnell, N.W. (2011) Simulating Current Global River Runoff with a Global Hydrological Model: Model Revisions, Validation, and Sensitivity Analysis. Hydrological Processes, 25, 1129-1145. http://dx.doi.org/10.1002/hyp.7727
Arnell, N.W. and Gosling, S.N. (2013) The Impacts of Climate Change on River Flow Regimes at the Global Scale. Journal of Hydrology, 486, 351-364. “ http://dx.doi.org/10.1016/j.jhydrol.2013.02.010
Nakaegawa, T., Kitoh, A. and Hosaka, M. (2013) Discharge of Major Global Rivers in the Late 21st Century Climate Projected with the High Horizontal Resolution MRI-AGCMs. Hydrological Processes, 27, 3301-3318. http://dx.doi.org/10.1002/hyp.9831
Milly, P.C.D., Dunne, K.A. and Vecchia, A.V. (2005) Global Pattern of Trends in Streamflow and Water Availability in a Changing Climate. Nature, 438, 347-350. http://dx.doi.org/10.1038/nature04312
Jung, I.W., Bae, D.H. and Lee, B.J. (2013) Possible Change in Korean Streamflow Seasonality Based on Multi-Model Climate Projections. Hydrological Processes, 27, 1033-1045. http://dx.doi.org/10.1002/hyp.9215
Zuo, D., Xu, Z., Zhao, J., Abbaspour, K.C. and Yang, H. (2015) Response of Runoff to Climate Change in the Wei River Basin, China. Hydrological Sciences Journal, 60, 508-522. http://dx.doi.org/10.1080/02626667.2014.943668
Demirel, M.C., Booij, M.J. and Hoekstra, A.Y. (2013) Impacts of Climate Change on the Seasonality of Low Flows in 134 Catchments in the River Rhine Basin Using an Ensemble of Bias-Corrected Regional Climate Simulations. Hydrology and Earth System Sciences, 17, 4241-4257. http://dx.doi.org/10.5194/hess-17-4241-2013
Ribeiro Neto, A., Silva, R.C.V., Collischonn, W. and Tucci, C.E. (2011) Hydrological Simulation in Amazonia: The Madeira River. In: Silva, R.C.V., Tucci, C.E.M. and Scott, C.A., Eds., Water and Climate Modeling in Large Basins, Brazilian Water Resources Association, Porto Alegre, 127-152.
Montenegro, S.M.G.L. and Ragab, R. (2012) Impact of Possible Climate and Land Use Changes in the Semiarid Regions: A Case Study from North Eastern Brazil. Journal of Hydrology, 434, 55-68. http://dx.doi.org/10.1016/j.jhydrol.2012.02.036
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, São Francisco and the Parana River Basins. Climate Dynamics, 38, 1829-1848. http://dx.doi.org/10.1007/s00382-011-1155-5
Palmer, M.A., Reidy, L.C.A., Nilsson, C., Flörke, M., Alcamo, J., Lake, P.S. and Bond, N. (2008) Climate Change and the World’s River Basins: Anticipating Management Options. Frontiers in Ecology and the Environment, 6, 81-89. http://dx.doi.org/10.1890/060148
Valverde, M.C. and Marengo, J.A. (2014) Extreme Rainfall Indices in the Hydrographic Basins of Brazil. Open Journal of Modern Hydrology, 4, 10-26. http://dx.doi.org/10.4236/ojmh.2014.41002
Kundzewicz, Z.W., et al. (2007) Fresh Water Resources and Their Management. In: Parry, M.L., Canziani, O., Palutikof, J., van der Linden, P. and Hanson, C., Eds., Climate Change 2007: Impacts, Adaptation and Vulnerability, Cambridge University Press, Cambridge, 173-210.
Viola, M.R., De Mello, C.R., Chou, S.C., Yanagi, S.N. and Gomes, J.L. (2014) Assessing Climate Change Impacts on Upper Grande River Basin Hydrology, Southeast Brazil. International Journal of Climatology, 35, 1054-1068. http://dx.doi.org/10.1002/joc.4038
Saurral, R.I., Barros, V.R. and Lettenmaier, D.P. (2008) Land Use Impact on the Uruguay River Discharge. Geophysical Research Letters, 35, Article ID: L12401. http://dx.doi.org/10.1029/2008gl033707
Doyle, M.E. and Barros, V.R. (2011) Attribution of the River Flow Growth in the Plata Basin. International Journal of Climatology, 31, 2234-2248. http://dx.doi.org/10.1002/joc.2228
Marengo, J.A. and Espinoza, J.C. (2015) Extreme Seasonal Droughts and Floods in Amazonia: Causes, Trends and Impacts. International Journal of Climatology, 36, 1033-1050. http://dx.doi.org/10.1002/joc.4420
Lavado, C.W.S., Ronchail, J., Labat, D., Espinoza, J.C. and Guyot, J.L. (2012) Basin-Scale Analysis of Rainfall and Runoff in Peru (1969-2004): Pacific, Titicaca and Amazonas Drainages. Hydrological Sciences Journal, 57, 625-642. http://dx.doi.org/10.1080/02626667.2012.672985
Carmona, A. and Poveda, G. (2011) Identificación de Modos Principales de Variabilidad Hidroclimática en Colombia Mediante la Transformada de Hilbert-Huang. Proceedings of the 9th Congreso Colombiano de Meteorología, National University of Colombia, Bogotá, 23-25 May 2011. (In Spanish)
Dai, A., Qian, T., Trenberth, K.E. and Milliman, J.D. (2009) Changes in Continental Freshwater Discharge from 1948 to 2004. Journal of Climate, 22, 2773-2792. http://dx.doi.org/10.1175/2008JCLI2592.1
Mesinger, F., Janjic, Z.I., Nickovic, S., Gavrilov, D. and Deaven, D.G. (1988) The Step-Mountain Coordinate: Model Description, and Performance for Cases of Alpine Lee Cyclogenesis and for a Case of an Appalachian Redevelopment. Monthly Weather Review, 116, 1493-1518. http://dx.doi.org/10.1175/1520-0493(1988)116 2.0.CO;2
Black, T.L. (1994) The New NMC Mesoscale Eta Model: Description and Forecast Examples. Weather Analysis and Forecasting, 9, 265-278. http://dx.doi.org/10.1175/1520-0434(1994)009 2.0.CO;2
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. http://dx.doi.org/10.1175/1520-0493(1994)122 2.0.CO;2
Chou, S.C. (1996) Modelo Regional Eta. Climanálise 1, Special Edition, Instituto Nacional de Pesquisas Espaciais, São José dos Campos.
Chou, S.C., Bustamante, J.F. and Gomes, J.L. (2005) Evaluation of Eta Model Seasonal Precipitation Forecasts over South America. Nonlinear Processes in Geophysics, 12, 537-555. http://dx.doi.org/10.5194/npg-12-537-2005
Pesquero, J.F., Chou, S.C., Nobre, C.A. and Marengo, J.A. (2009) Climate Downscaling over South America for 1961-1970 Using the Eta Model. Theoretical and Applied Climatology, 99, 75-93. http://dx.doi.org/10.1007/s00704-009-0123-z
Chou, S.C., et al. (2012) Downscaling of South America Present Climate Driven by 4-Member HadCM3 Runs. Climate Dynamics, 38, 635-653. http://dx.doi.org/10.1007/s00382-011-1002-8
Mesinger, F. (1984) A Blocking Technique for Representation of Mountains in Atmospheric Models. Rivista di Meteorologia Aeronautica, 44, 195-202.
Figueroa, S.N., Satyamurty, P. and Dias, P.L.S. (1995) Simulations of the Summer Circulation over the South American Region with an Eta Coordinate Model. Journal of the Atmospheric Sciences, 52, 1573-1584. http://dx.doi.org/10.1175/1520-0469(1995)052 2.0.CO;2
Mesinger, F. (2012) An Upgraded Version of the Eta Model. Meteorology and Atmospheric Physics, 116, 63-79. http://dx.doi.org/10.1007/s00703-012-0182-z
Chou, S.C., et al. (2014) Evaluation of the Eta Simulations Nested in Three Global Climate Models. American Journal of Climate Change, 3, 438-454. http://dx.doi.org/10.4236/ajcc.2014.35039
Chou, S.C., et al. (2014) Assessment of Climate Change over South America under RCP 4.5 and 8.5 Downscaling Scenarios. American Journal of Climate Change, 3, 512-525. http://dx.doi.org/10.4236/ajcc.2014.35043
New, M., Lister, D., Hulme, M. and Makin, I. (2002) A High-Resolution Data Set of Surface Climate over Global Land Areas. Climate Research, 21, 1-25. http://dx.doi.org/10.3354/cr021001
Bárdossy, A. and Pegram, G. (2011) Downscaling Precipitation Using Regional Climate Models and Circulation Patterns toward Hydrology. Water Resources Research, 47, 1-18. http://dx.doi.org/10.1029/2010WR009689
Collischonn, W., Allasia, D., Silva, B.C. and Tucci, C.E.M. (2007) The MGB-IPH Model for Large-Scale Rainfall-Runoff Modelling. Hydrological Sciences Journal, 52, 878-895. http://dx.doi.org/10.1623/hysj.52.5.878
Silva, B.C., Collischonn, W. and Tucci, C.E.M. (2006) Stream-Flow Forecasting with Hydroclimatic Models. Brazilian Water Resources Journal, 11, 15-29. (In Portuguese)
Bayer, D.M. and Collischonn, W. (2013) Land-Use Sensitivity Analysis in MGB-IPH Model. Brazilian Water Resources Journal, 18, 165-179. (In Portuguese)
Zhao, R.J. (1992) The Xinanjiang Model Applied in China. Journal of Hydrology, 135, 371-381. http://dx.doi.org/10.1016/0022-1694(92)90096-E
Paiva, R.C.D., Collischonn, W. and Buarque, D.C. (2013) Validation of a Full Hydrodynamic Model for Large-Scale Hydrologic Modelling in the Amazon. Hydrological Processes, 27, 333-346. http://dx.doi.org/10.1002/hyp.8425
FAO (Food and Agriculture Organization) (2003) The Digital Soil Map of the World. Food and Agriculture Organization, the United Nations, Version 3.6.
Eva, H.D., De Miranda, E.E., Di Bella, C.M. and Gond, V. (2002) A Vegetation Map of South America. EUR 20159 EN, European Commission, Luxembourg.
Lehner, B., Verdin, K. and Jarvis, A. (2006) HydroSHEDS. Technical Documentation. Version 1.0. http://hydrosheds.cr.usgs.gov/webappcontent/HydroSHEDS_TechDoc_v10.pdf
Paz, A.R., Tucci, C.E.M. and Collischonn, W. (2013) The Pantanal: Hydrologic Behavior and Its Simulation. In: Silva, R.C.V., Tucci, C.E.M. and Scott, C.A., Eds., Water and Climate Modeling in Large Basins, Vol. 2, Brazilian Water Resources Association, Porto Alegre, 53-90.
Chiew, F.H.S. (2006) Estimation of Rainfall Elasticity of Streamflow in Australia. Hydrological Sciences Journal, 51, 613-625. http://dx.doi.org/10.1623/hysj.51.4.613
IPCC (2014) Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the 5th Assessment Report of the Intergovernmental Panel on Climate Change, Field, C.B., et al., Eds., Cambridge University Press, Cambridge.
Arnell, N.W. and Lloyd-Hughes, B. (2014) The Global-Scale Impacts of Climate Change on Water Resources and Flooding under New Climate and Socio-Economic Scenarios. Climatic Change, 122, 127-140. http://dx.doi.org/10.1007/s10584-013-0948-4
Fung, F., Lopez, A. and New, M. (2011) Water Availability in +2°C and +4°C Worlds. Philosophical Transactions of the Royal Society A, 369, 99-116. http://dx.doi.org/10.1098/rsta.2010.0293
Schewe, J., et al. (2013) Multi-Model Assessment of Water Scarcity under Climate Change. Proceedings of the National Academy of Sciences of the United States of America, 111, 3245-3250. http://dx.doi.org/10.1073/pnas.1222460110
Seneviratne, S.I., Corti, T., Davin, E.L., Hirschi, M., Jaeger, E.B., Lehner, I., Orlowsky, B. and Teuling, A.J. (2010) Investigating Soil Moisture-Climate Interactions in a Changing Climate: A Review. Earth-Science Reviews, 99, 125-161. http://dx.doi.org/10.1016/j.earscirev.2010.02.004
Panday, P.K., Coe, M.T., Macedo, M.N., Lefebvre, P. and Castanho, A.D.A. (2015) Deforestation Offsets Water Balance Changes Due to Climate Variability in the Xingu River in Eastern Amazonia. Journal of Hydrology, 523, 822-829. http://dx.doi.org/10.1016/j.jhydrol.2015.02.018
McDonald, R.I. and Girvetz, E.H. (2013) Two Challenges for US Irrigation Due to Climate Change: Increasing Irrigated Area in Wet States and Increasing Irrigation Rates in Dry States. PLoS ONE, 8, e65589. http://dx.doi.org/10.1371/journal.pone.0065589
Bates, B.C., Kundzewicz, Z.W., Wu, S. and Palutikof, J.P. (2008) Climate Change and Water. Technical Paper of the Intergovernmental Panel on Climate Change, IPCC Secretariat, Geneva.