Table of Contents Author Guidelines Submit a Manuscript
Advances in Meteorology
Volume 2016 (2016), Article ID 7957490, 10 pages
http://dx.doi.org/10.1155/2016/7957490
Research Article

Markov Chain Decomposition of Monthly Rainfall into Daily Rainfall: Evaluation of Climate Change Impact

School of Civil, Environmental and Architectural Engineering, College of Engineering, Korea University, Seoul 136-713, Republic of Korea

Received 27 October 2015; Revised 4 April 2016; Accepted 7 April 2016

Academic Editor: Ji Chen

Copyright © 2016 Chulsang Yoo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. G. J. McCabe Jr. and M. A. Ayers, “Hydrologic effects of climate change in the Delaware River basin,” Water Resources Bulletin, vol. 25, no. 6, pp. 1231–1242, 1989. View at Publisher · View at Google Scholar · View at Scopus
  2. F. H. S. Chiew, P. H. Whetton, T. A. McMahon, and A. B. Pittock, “Simulation of the impacts of climate change on runoff and soil moisture in Australian catchments,” Journal of Hydrology, vol. 167, no. 1–4, pp. 121–147, 1995. View at Publisher · View at Google Scholar · View at Scopus
  3. G. J. McCabe and L. E. Hay, “Hydrological effects of hypothetical climate change in the East River basin, Colorado, USA,” Hydrological Sciences Journal, vol. 40, no. 3, pp. 303–318, 1995. View at Publisher · View at Google Scholar · View at Scopus
  4. B. Nijssen, G. M. O'Donnell, A. F. Hamlet, and D. P. Lettenmaier, “Hydrologic sensitivity of global rivers to climate change,” Climatic Change, vol. 50, no. 1-2, pp. 143–175, 2001. View at Publisher · View at Google Scholar · View at Scopus
  5. N. S. Christensen, A. W. Wood, N. Voisin, D. P. Lettenmaier, and R. N. Palmer, “The effects of climate change on the hydrology and water resources of the Colorado River basin,” Climatic Change, vol. 62, no. 1–3, pp. 337–363, 2004. View at Publisher · View at Google Scholar · View at Scopus
  6. J. Nemec and J. Schaake, “Sensitivity of water resource systems to climate variation,” Hydrological Sciences Journal, vol. 27, no. 3, pp. 327–343, 1982. View at Publisher · View at Google Scholar · View at Scopus
  7. L. L. Nash and P. H. Gleick, “Sensitivity of streamflow in the Colorado Basin to climatic changes,” Journal of Hydrology, vol. 125, no. 3-4, pp. 221–241, 1991. View at Publisher · View at Google Scholar · View at Scopus
  8. M. Sanderson and J. Smith, “Climate change and water in the Grand River, Ontario,” in Proceedings of the 43rd Annual Conference of the Canadian Water Resources Association, pp. 243–261, Penticton, Canada, May 1990.
  9. P. Singh and L. Bengtsson, “Hydrological sensitivity of a large Himalayan basin to climate change,” Hydrological Processes, vol. 18, no. 13, pp. 2363–2385, 2004. View at Publisher · View at Google Scholar · View at Scopus
  10. R. N. Jones, F. H. S. Chiew, W. C. Boughton, and L. Zhang, “Estimating the sensitivity of mean annual runoff to climate change using selected hydrological models,” Advances in Water Resources, vol. 29, no. 10, pp. 1419–1429, 2006. View at Publisher · View at Google Scholar · View at Scopus
  11. J. H. Oh, “Climate change due to CO2 increase: prediction of precipitation change in Korea,” in Proceedings of the Effect of Climate Change on Korea, Korea Institute of Science and Technology (KIST '93), pp. 37–112, 1993.
  12. S. Kim and H. Kim, Studies on Potential Effects of Climate Change on Korea and Strategic Measures for the Global Environment (Water Resources Division), Department of Science and Technology, Korea, 1995.
  13. S. N. Oh, Research and Development on Technology for Global Environmental Monitoring and Climate Change Prediction, Department of Environment, Korea, 1995.
  14. C.-H. Chung, “Vegetation response to climate change on Jeju Island, South Korea, during the last deglaciation based on pollen record,” Geosciences Journal, vol. 11, no. 2, pp. 147–155, 2007. View at Publisher · View at Google Scholar · View at Scopus
  15. S. Jung, S. Ha, and H. Na, “Multi-decadal changes in fish communities Jeju island in relation to climate change,” Korean Journal of Fisheries and Aquatic Sciences, vol. 46, no. 2, pp. 186–194, 2013. View at Publisher · View at Google Scholar
  16. J. H. Oh and S. G. Hong, “Precipitation change in Korea due to atmospheric CO2 increase,” Journal of Korea Water Resources Association, vol. 28, no. 3, pp. 143–157, 1995 (Korean). View at Google Scholar
  17. Korea Advanced Institute of Science Technology, Climate Change Impact Assessment and Development of Visualization Techniques for Climate Information, Ministry of Environment, 1995 (Korean).
  18. P. H. Gleick, “Methods for evaluating the regional hydrologic impacts of global climatic changes,” Journal of Hydrology, vol. 88, no. 1-2, pp. 97–116, 1986. View at Publisher · View at Google Scholar · View at Scopus
  19. J. Schmidli, C. Frei, and P. L. Vidale, “Downscaling from GCM precipitation: a benchmark for dynamical and statistical downscaling methods,” International Journal of Climatology, vol. 26, no. 5, pp. 679–689, 2006. View at Publisher · View at Google Scholar · View at Scopus
  20. R. B. Wardlaw, M. Hulme, and A. Y. Stuck, “Modelling the impacts of climatic change on water resources,” Water and Environment Journal, vol. 10, no. 5, pp. 355–364, 1996. View at Publisher · View at Google Scholar · View at Scopus
  21. D. P. Lettenmaier and T. Y. Gan, “Hydrologic sensitivities of the Sacromento-San Joaquin river basin, California, to global warming,” Water Resources Research, vol. 26, no. 1, pp. 69–86, 1990. View at Google Scholar
  22. C. W. Richardson, “Stochastic simulation of daily precipitation, temperature, and solar radiation,” Water Resources Research, vol. 17, no. 1, pp. 182–190, 1981. View at Publisher · View at Google Scholar · View at Scopus
  23. D. P. Lettenmaier and D. P. Sheer, “Climatic sensitivity of California water resources,” Journal of Water Resources Planning and Management, vol. 117, no. 1, pp. 108–125, 1991. View at Publisher · View at Google Scholar · View at Scopus
  24. H. Y. F. Ng and J. Marsalek, “Sensitivity of streamflow simulation to changes in climate inputs,” Nordic Hydrology, vol. 23, no. 4, pp. 257–272, 1992. View at Google Scholar · View at Scopus
  25. M. A. Semenov and E. M. Barrow, “Use of a stochastic weather generator in the development of climate change scenarios,” Climatic Change, vol. 35, no. 4, pp. 397–414, 1997. View at Publisher · View at Google Scholar · View at Scopus
  26. T. I. Harrold, A. Sharma, and S. J. Sheather, “A nonparametric model for stochastic generation of daily rainfall occurrence,” Water Resources Research, vol. 39, no. 10, 2003. View at Google Scholar · View at Scopus
  27. R. Mehrotra and A. Sharma, “A semi-parametric model for stochastic generation of multi-site daily rainfall exhibiting low-frequency variability,” Journal of Hydrology, vol. 335, no. 1-2, pp. 180–193, 2007. View at Publisher · View at Google Scholar · View at Scopus
  28. S. L. Grotch, “Regional intercomparisons of general circulation model predictions and historical data,” Technical Note DOE/NBB0084, U.S. Department of Energy, Washington, DC, USA, 1988. View at Google Scholar
  29. D. Rind, R. Goldberg, and R. Ruedy, “Change in climate variability in the 21st century,” Climatic Change, vol. 14, no. 1, pp. 5–37, 1989. View at Publisher · View at Google Scholar · View at Scopus
  30. E. F. Wood, D. P. Lettenmaier, and J. R. Wallis, “Comparison of an alternative land surface parameterization with the GFDL high resolution climate model,” in Hydrological Interactions Between Atmosphere, Soil, and Vegetation, IAHS Publications no. 204, pp. 53–64, 1991. View at Google Scholar
  31. R. W. Katz, “Precipitation as a chain-dependent process,” Journal of Applied Meteorology, vol. 16, no. 7, pp. 671–676, 1977. View at Google Scholar
  32. P. Todorovic and D. A. Woolhiser, “A stochastic model of n-day precipitation,” Journal of Applied Meteorology, vol. 14, no. 1, pp. 17–24, 1975. View at Google Scholar
  33. R. D. Stern and R. Coe, “A model fitting analysis of daily rainfall data,” Journal of the Royal Statistical Society Series A, vol. 147, no. 1, pp. 1–34, 1984. View at Publisher · View at Google Scholar
  34. J. T. Schoof and S. C. Pryor, “On the proper order of Markov chain model for daily precipitation occurrence in the contiguous United States,” Journal of Applied Meteorology and Climatology, vol. 47, no. 9, pp. 2477–2486, 2008. View at Publisher · View at Google Scholar · View at Scopus
  35. E. Waymire and V. K. Gupta, “The mathematical structure of rainfall representations: 1. A review of the stochastic rainfall models,” Water Resources Research, vol. 17, no. 5, pp. 1261–1272, 1981. View at Publisher · View at Google Scholar · View at Scopus
  36. D. S. Wilks, “Multisite generalization of a daily stochastic precipitation generation model,” Journal of Hydrology, vol. 210, no. 1–4, pp. 178–191, 1998. View at Publisher · View at Google Scholar · View at Scopus
  37. D. Entekhabi, I. Rodriguez-Iturbe, and P. S. Eagleson, “Probabilistic representation of the temporal rainfall by a modified Neymann-Scott rectangular pulses model: parameter estimation and validation,” Water Resources Research, vol. 25, no. 2, pp. 295–302, 1989. View at Google Scholar
  38. I. Rodriguez-Iturbe, V. K. Gupta, and E. Waymire, “Scale considerations in the modeling of temporal rainfall,” Water Resources Research, vol. 20, no. 11, pp. 1611–1619, 1984. View at Publisher · View at Google Scholar · View at Scopus
  39. I. Rodriguez-Iturbe, D. R. Cox, and V. Isham, “Some models for rainfall based on stochastic point processes,” Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, vol. 410, no. 1839, pp. 269–288, 1987. View at Publisher · View at Google Scholar · View at MathSciNet
  40. I. Rodriguez-Iturbe, D. R. Cox, and V. Isham, “A point process model for rainfall: further developments,” Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, vol. 417, no. 1853, pp. 283–298, 1988. View at Publisher · View at Google Scholar · View at MathSciNet
  41. E. Parzen, Stochastic Processes, Holden-Day Series in Probability and Statistics, Holden-Day, San Francisco, Calif, USA, 1962. View at MathSciNet
  42. M. Meinshausen, S. J. Smith, K. Calvin et al., “The RCP greenhouse gas concentrations and their extensions from 1765 to 2300,” Climatic Change, vol. 109, no. 1, pp. 213–241, 2011. View at Publisher · View at Google Scholar · View at Scopus
  43. K. E. Taylor, R. J. Stouffer, and G. A. Meehl, “An overview of CMIP5 and the experiment design,” Bulletin of the American Meteorological Society, vol. 93, no. 4, pp. 485–498, 2012. View at Publisher · View at Google Scholar · View at Scopus