Spatio-temporal downscaling of projected precipitation in the 21st century: indication of a wetter monsoon over the Upper Mahanadi Basin, India

References

• Abdolhosseini, M., Eslamian, S., and Mousavi, S.F., 2012. Effect of climate change on potential evapotranspiration: a case study on Gharehsoo sub-basin, Iran. International Journal of Hydrology Science and Technology, 2 (4), 362–372. doi:10.1504/IJHST.2012.052373
   Google Scholar
• Arora, V.K. and Boer, G.J., 2010. Uncertainties in the 20th century carbon budget associated with land use change. Global Change Biology, 16 (12), 3327–3348. doi:10.1111/j.1365-2486.2010.02202.x
   Web of Science ®Google Scholar
• Arora, V.K., et al., 2011. Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases. Geophysical Research Letters, 38, L05805. doi:10.1029/2010GL046270
   Web of Science ®Google Scholar
• Asokan, S.M. and Dutta, D., 2008. Analysis of water resources in the Mahanadi River Basin, India under projected climate conditions. Hydrological Processes, 22, 3589–3603. doi:10.1002/hyp.v22:18
   Web of Science ®Google Scholar
• Bárdossy, A., 1997. Downscaling from GCMs to local climate through stochastic linkages. Journal of Environmental Management, 49, 7–17. doi:10.1006/jema.1996.0112
   Web of Science ®Google Scholar
• Bardossy, A. and Plate, E.J., 1992. Space-time model for daily rainfall using atmospheric circulation patterns. Water Resources Research, 28, 1247–1259. doi:10.1029/91WR02589
   Web of Science ®Google Scholar
• Bawiskar, S.M., et al., 2005. Energetics of lower tropospheric planetary waves over mid latitudes: Precursor for Indian summer monsoon. Journal of Earth System Science, 114, 557–564. doi:10.1007/BF02702031
   Web of Science ®Google Scholar
• Buishand, T.A. and Brandsma, T., 2001. Multisite simulation of daily precipitation and temperature in the Rhine basin by nearest-neighbor resampling. Water Resources Research, 37, 2761–2776. doi:10.1029/2001WR000291
   Web of Science ®Google Scholar
• Changnon, S.A., Huff, F.A., and Hsu, C.-F., 1988. Relations between precipitation and shallow groundwater in Illinois. Journal of Climate, 1, 1239–1250. doi:10.1175/1520-0442(1988)001<1239:RBPASG>2.0.CO;2
   Web of Science ®Google Scholar
• Chen, S.-T., Yu, P.-S., and Tang, Y.-H., 2010. Statistical downscaling of daily precipitation using support vector machines and multi variate analysis. Journal of Hydrology, 385, 13–22. doi:10.1016/j.jhydrol.2010.01.021
   Web of Science ®Google Scholar
• Chu, J.T., et al., 2010. Statistical downscaling of daily mean temperature, pan evaporation and precipitation for climate change scenarios in Haihe River, China. Theoretical and Applied Climatology, 99, 149–161. doi:10.1007/s00704-009-0129-6
   Web of Science ®Google Scholar
• Dibike, Y.B., et al., 2008. Uncertainty analysis of statistically downscaled temperature and precipitation regimes in Northern Canada. Theoretical and Applied Climatology, 91, 149–170. doi:10.1007/s00704-007-0299-z
   Web of Science ®Google Scholar
• Du, J., et al., 2011. Precipitation change and human impacts on hydrologic variables in Zhengshui River Basin, China. Stochastic Environmental Research and Risk Assessment, 25, 1013–1025. doi:10.1007/s00477-010-0453-5
   Web of Science ®Google Scholar
• Fiseha, B.M., et al., 2014. Impact of climate change on the hydrology of Upper Tiber River Basin using bias corrected regional climate model. Water Resources Management, 28, 1327–1343. doi:10.1007/s11269-014-0546-x
   Web of Science ®Google Scholar
• Gagnon, S.B., et al., 2005. An application of the Statistical DownScaling Model (SDSM) to simulate climatic data for streamflow modelling in Québec. Canadian Water Resources Journal, 30 (4), 297–314. doi:10.4296/cwrj3004297
   Google Scholar
• Gain, A.K. and Wada, Y., 2014. Assessment of future water scarcity at different spatial and temporal scales of the Brahmaputra River Basin. Water Resources Management, 28, 999–1012. doi:10.1007/s11269-014-0530-5
   Web of Science ®Google Scholar
• Ghosh, S. and Mujumdar, P.P., 2008. Statistical downscaling of GCM simulations to streamflow using relevance vector machine. Advances in Water Resources, 31, 132–146. doi:10.1016/j.advwatres.2007.07.005
   Web of Science ®Google Scholar
• Gordon, C., Cooper, C., and Senior, C.A., 2000. The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Climate Dynamics, 16, 147–168. doi:10.1007/s003820050010
   Web of Science ®Google Scholar
• Hewitson, B.C. and Crane, R.G., 1996. Climate downscaling : techniques and application. Climate Research, 7, 85–95. doi:10.3354/cr007085
   Web of Science ®Google Scholar
• Jakeman, A.J. and Hornberger, G.M., 1993. How much complexity is warranted in a Rainfall-Runoff model? Water Resources Research, 29, 2637–2649. doi:10.1029/93WR00877
   Web of Science ®Google Scholar
• Joshi, D., et al., 2016. Comparison of direct statistical and indirect statistical-deterministic frameworks in downscaling river low-flow indices. Hydrological Sciences Journal, 61, 1996–2010. doi:10.1080/02626667.2014.966719
   Web of Science ®Google Scholar
• Kannan, S. and Ghosh, S., 2010. Prediction of daily rainfall state in a river basin using statistical downscaling from GCM output. Stochastic Environmental Research and Risk Assessment, 25, 457–474. doi:10.1007/s00477-010-0415-y
   Web of Science ®Google Scholar
• Lee, M.-H. and Bae, D.-H., 2015. Climate change impact assessment on green and blue water over Asian Monsoon Region. Water Resources Management, 29, 2407–2427. doi:10.1007/s11269-015-0949-3
   Web of Science ®Google Scholar
• Lombardo, F., Volpi, E., and Koutsoyiannis, D., 2012. Rainfall downscaling in time: theoretical and empirical comparison between multifractal and Hurst-Kolmogorov discrete random cascades. Hydrological Sciences Journal, 57 (6), 1052–1066. doi:10.1080/02626667.2012.695872
   Web of Science ®Google Scholar
• Maraun, D., Wetterhall, F., and Iresson, A.M., 2010. Precipition downscaling under climate change: recent developments to bridge the gap between dynamical models and the end user. Reviews of Geophysics, 48, 1–34. doi:10.1029/2009RG000314
   Web of Science ®Google Scholar
• Meenu, R., Rehana, S., and Mujumdar, P.P., 2013. Assessment of hydrologic impacts of climate change in Tunga – Bhadra river basin, India with HEC-HMS and SDSM. Hydrological Processes, 27, 1572–1589. doi:10.1002/hyp.v27.11
   Web of Science ®Google Scholar
• Nash, J.E. and Sutcliffe, J.V., 1970. River flow forecasting through conceptual models part I — A discussion of principles. Journal of Hydrology, 10, 282–290. doi:10.1016/0022-1694(70)90255-6
   Google Scholar
• Pervez, M.S. and Henebry, G.M., 2014. Projections of the Ganges–Brahmaputra precipitation—Downscaled from GCM predictors. Journal of Hydrology, 517, 120–134. doi:10.1016/j.jhydrol.2014.05.016
   Web of Science ®Google Scholar
• Pope, V.D., et al., 2000. The impact of new physical parametrizations in the Hadley Centre climate model: HadAM3. Climate Dynamics, 16, 123–146. doi:10.1007/s003820050009
   Web of Science ®Google Scholar
• Reichler, T. and Kim, J., 2008. How well do coupled models simulate today’s climate? Bulletin of the American Meteorological Society, 89, 303–311. doi:10.1175/BAMS-89-3-303
   Web of Science ®Google Scholar
• Sachindra, D.A., et al., 2014. Statistical downscaling of general circulation model outputs to precipitation – part 1 : calibration and validation. International Journal of Climatology, 34, 3264–3281. doi:10.1002/joc.3914
   Web of Science ®Google Scholar
• Saeed, F., et al., 2012. Influence of mid-latitude circulation on Upper Indus basin precipitation: the explicit role of irrigation. Climate Dynamics, 40, 21–38. doi:10.1007/s00382-012-1480-3
   Web of Science ®Google Scholar
• Salathe, E.P., 2003. Comparison of various precipitation downscaling methods for the simulation of streamflow in a rainshadow river basin. International Journal of Climatology, 23, 887–901. doi:10.1002/joc.922
   Web of Science ®Google Scholar
• Schnorbus, M., Werner, A., and Bennett, K., 2014. Impacts of climate change in three hydrologic regimes in British Columbia, Canada. Hydrological Processes, 28, 1170–1189. doi:10.1002/hyp.v28.3
   Web of Science ®Google Scholar
• Selker, J.S. and Haith, A., 1990. Development and testing of single-parameter precipitation distributions. Water Resources Research, 26, 2733–2740. doi:10.1029/WR026i011p02733
   Web of Science ®Google Scholar
• Sobie, S.R., et al., 2013. Downscaling extremes: an intercomparision of multiple methods for future climate. Journal of Climate, 26, 3429–3449. doi:10.1175/JCLI-D-12-00249.1
   Web of Science ®Google Scholar
• Solomon, S., 1967. Relationship between precipitation, evaporation, and runoff in tropical-equatorial regions. Water Resources Research, 3, 163–172. doi:10.1029/WR003i001p00163
   Web of Science ®Google Scholar
• Srivastava, P.K., et al., 2015. WRF dynamical downscaling and bias correction schemes for NCEP estimated hydro-meteorological variables. Water Resources Management, 29, 2267–2284. doi:10.1007/s11269-015-0940-z
   Web of Science ®Google Scholar
• Storch, H.V., Zorita, E., and Cubasch, U., 1993. Downscaling of global climate change estimates to regional scales: an application to Iberian Rainfall in wintertime. Journal of Climate, 6, 1161–1171. doi:10.1175/1520-0442(1993)006<1161:DOGCCE>2.0.CO;2
   Web of Science ®Google Scholar
• Stott, P.A., et al., 2000. External control of 20th century temperature by natural and anthropogenic forcings. Science, 290, 2133–2137. doi:10.1126/science.290.5499.2133
   PubMed Web of Science ®Google Scholar
• Tabor, K. and Williams, J.W., 2010. Globally downscaled climate projections for assessing the conservation impacts of climate change. Ecological Applications, 20, 554–565. doi:10.1890/09-0173.1
   PubMed Web of Science ®Google Scholar
• Tisseuil, C., et al., 2010. Statistical downscaling of river flows. Journal of Hydrology, 385, 279–291. doi:10.1016/j.jhydrol.2010.02.030
   Web of Science ®Google Scholar
• Tofiq, F.A. and Guven, A., 2014. Prediction of design flood discharge by statistical downscaling and general circulation models. Journal of Hydrology, 517, 1145–1153. doi:10.1016/j.jhydrol.2014.06.028
   Web of Science ®Google Scholar
• Trenberth, K.E., 2008. Observational needs for climate prediction and adaptation. WMO Bulletin, 57 (1), 17–21.
   Google Scholar
• Tung, C. and Haith, D.A., 1995. Global-Warming effects on new york streamflows. Journal of Water Resources Planning and Management, 121, 216–225. doi:10.1061/(ASCE)0733-9496(1995)121:2(216)
   Web of Science ®Google Scholar
• Wang, W., Xing, W., and Shao, Q., 2015. How large are uncertainties in future projection of reference evapotranspiration through different approaches? Journal of Hydrology, 524, 696–700. doi:10.1016/j.jhydrol.2015.03.033
   Web of Science ®Google Scholar
• Wang, W., et al., 2013. Changes in reference evapotranspiration across the Tibetan Plateau: observations and future projections based on statistical downscaling. Journal of Geophysical Research: Atmospheres, 18 (10), 4049–4068.
   Web of Science ®Google Scholar
• Wang, W., et al., 2014. Responses of rice yield, irrigation water requirement and water use efficiency to climate change in China: historical simulation and future projections. Agricultural Water Management, 146, 249–261. doi:10.1016/j.agwat.2014.08.019
   Web of Science ®Google Scholar
• Wilby, R.L., 1998. Statistical downscaling of daily precipitation using daily airflow and seasonal teleconnection indices. Climate Research, 10, 163–178. doi:10.3354/cr010163
   Web of Science ®Google Scholar
• Wilby, R.L. and Dawson, C.W., 2013. The Statistical DownScaling Model: insights from one decade of application. International Journal of Climatology, 33, 1707–1719. doi:10.1002/joc.2013.33.issue-7
   Web of Science ®Google Scholar
• Wilby, R.L., Dawson, C.W., and Barrow, E.M., 2002. SDSM — a decision support tool for the assessment of regional climate change impacts. Environmental Modelling & Software, 17, 145–157. doi:10.1016/S1364-8152(01)00060-3
   Web of Science ®Google Scholar
• Wilby, R.L., et al., 2000. Hydrological responses to dynamically and statistically downscaled climate model output. Geophysical Research Letters, 27, 1199–1202. doi:10.1029/1999GL006078
   Web of Science ®Google Scholar
• Wilby, R.L., Tomlinson, O.J., and Dawson, C.W., 2003. Multi-site simulation of precipitation by conditional resampling. Climate Research, 23, 183–194. doi:10.3354/cr023183
   Web of Science ®Google Scholar
• Wilby, R.L. and Wigley, T.M.L., 1997. Downscaling general circulation model output: a review of methods and limitations. Progress in Physical Geography, 21, 530–548. doi:10.1177/030913339702100403
   Web of Science ®Google Scholar
• Yang, T., et al., 2012. Statistical downscaling of extreme daily precipitation, evaporation, and temperature and construction of future scenarios. Hydrological Processes, 26 (23), 3510–3523. doi:10.1002/hyp.v26.23
   Web of Science ®Google Scholar