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May 31, 2013
Chapter 9

Statistical Downscaling of Precipitation and Temperature for a Lake Basin

Publication: Climate Change Modeling, Mitigation, and Adaptation
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9.8 References

Anandhi, A., Srinivas, V. V., Nanjundiah, R. S., and Kumar, D. N. (2008). “Downscaling precipitation to river basin for IPCC SRES scenarios using Support Vector Machines.” International J. Climatology, 28, 401–420.
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Benestad, R. E. (2001). “A comparison between two empirical downscaling strategies.” International Journal of Climatology, 21, 1645–1668.
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Cannon, A. J., and Whitfield, P. H. (2002). “Downscaling recent streamflow conditions in British Columbia, Canada using ensemble neural network models.” Journal of Hydrology, 259(1), 136–151.
Cavazos, T., and Hewitson, B. C. (2005). “Performance of NCEP variables in statistical downscaling of daily precipitation.” Climate Research, 28, 95–107.
Cecilia, H., Deliang C., Christine A., and Jouni R. (2001). “Comparison of climate change scenarios for Sweden based on statistical and dynamical downscaling of monthly precipitation.” Climate Research, 19, 45–55.
Dibike, Y. B., and Coulibaly, P. (2006). “Temporal neural networks for downscaling climate variability and extremes.” Neural Networks, 19(2), 135–144.
Dimri, A. P., Joshib, P., and Ganjub, A. (2008). “Precipitation forecast over western Himalayas using k-nearest neighbour method.” Int. J. Climatol. 28, 1921–1931.
Ghosh, S., and Mujumdar, P. P. (2007). “Nonparametric methods for modeling GCM and scenario uncertainty in drought assessment.” Water Resour. Res., 43, W07405,.
Goyal, M. K., Ojha, C. S. P., and Burn, D. H. (2010). “An evaluation of decision tree algorithm as a downscaling tool: Application on a Lake Basin for an arid region in India.” Tenth conference of Canadian Geophysical Union, University of Guelph, Ontario, Canada.
Goyal, M. K., and Ojha, C. S. P. (2010a). “Robust weighted regression as a downscaling tool in temperature projections.” International Journal of Global Warming, Interscience Publishers, UK, 2(3), 234–251.
Goyal, M. K., and Ojha, C. S. P. (2010b). “Evaluation of various linear regression methods for downscaling of mean monthly precipitation in arid Pichola Watershed.” Natural Resources, Scientific Research, USA, 1(1), 11–18.
Goyal, M. K., and Ojha, C. S. P. (2010c). “Application of PLS-regression as downscaling tool for Pichola Lake basin in India.” International Journal of Geosciences, Scientific Research, USA, 1, 51–57.
Goyal, M. K., Ojha, C. S. P., and Burn Donald H. (2012). “An evaluation of nonparametric statistical downscaling of temperature, precipitation and evaporation for semi-arid region in India.” ASCE-Journal of Hydrologic Engg., 17(5) 615–627,.
Goyal, M. K., and Ojha, C. S. P. (2011a). “Evaluation of linear regression methods as downscaling tool in temperature projections over Pichola Lake Basin in India.” Hydrological Processes, John Wiley Sons, 25 (9), 1453–1465.
Goyal, M. K., and Ojha, C. S. P. (2011b). “PLS regression based pan evaporation and minimum-maximum temperature projections for an arid lake basin in India.” Theoretical and Applied Climatology, Springer Netherlands, 105(3–4):403–415,.
Goyal, M. K., and Ojha, C. S. P. (2012d). “Downscaling of surface temperature for lake catchment in arid region in india using linear multiple regression and neural networks.” International Journal of Climatology, John Wiley Sons,.
Goyal, M. K., and Ojha, C. S. P. (2012e). “Downscaling of precipitation on a lake basin: evaluation of rule and decision tree induction algorithms.” Hydrology Research.43 (3), 215–230.
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Ojha, C. S. P., Goyal, M. K., and Adeloye, A. J. (2010). “Downscaling of precipitation for lake catchment in arid region in india using linear multiple regression and neural networks.” The Open Journal of Hydrology, Bentham Science Publishers, 4, 122–136.
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Climate Change Modeling, Mitigation, and Adaptation
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