수자원 전망 불확실성 분해 R Package 'UncDecomp'

  • Published : 2019.11.15

Abstract

Keywords

Acknowledgement

Supported by : 한국환경산업기술원

본 연구는 환경부/한국환경산업기술원의 지원으로 수행되었음(과제번호 83082).

References

  1. Bosshard, T., Carambia, M., Goergen, K., Kotlarski, S., Krahe, P., Zappa, M., and Schar, C. (2013). Quantifying uncertainty sources in an ensemble of hydrological climate-impact projections. Water Resources Research, Vol. 49, No. 3, pp. 1523-1536. https://doi.org/10.1029/2011WR011533
  2. Chen, J., Brissette, F. P., Poulin, A., and Leconte, R. (2011). "Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed." Water Resources Research, Vol. 47, No. 12.
  3. Deque, M., Rowell, D. P., Luthi, D., Giorgi, F., Christensen, J. H., Rockel, B., Jacob, D., Kjellstrom, E., de Castro, M and van den Hurk, B. (2007). "An intercomparison of regional climate simulations for Europe: assessing uncertainties in model projections." Climatic Change, Vol. 81, No. 1, pp. 53-70. https://doi.org/10.1007/s10584-006-9228-x
  4. Dessai, S., Lu, X., and Hulme, M. (2005). "Limited sensitivity analysis of regional climate change probabilities for the 21st century." Journal of Geophysical Research: Atmospheres, Vol. 110, No. D19.
  5. Dessai, S., and Hulme, M. (2007), "Assessing the robustness of adaptation decisions to climate change uncertainties: A case study on water resources management in the east of England." Global Environmental Change, Vol. 17, No. 1, pp. 59-72. https://doi.org/10.1016/j.gloenvcha.2006.11.005
  6. Dobler, C., Hagemann, S., Wilby, R., and Stotter, J. (2012). "Quantifying different sources of uncertainty in hydrological projections in an alpine watershed." Hydrology and Earth System Sciences, Vol. 16, No. 11, pp. 4343-4360. https://doi.org/10.5194/hess-16-4343-2012
  7. Gilroy, K. L., and McCuen, R. H. (2012). A nonstationary flood frequency analysis method to adjust for future climate change and urbanization. Journal of Hydrology, Vol 414, pp. 40-48. https://doi.org/10.1016/j.jhydrol.2011.10.009
  8. Giorgi, F., and Mearns, L.O. (2002). "Calculation of average, uncertainty range and reliability of regional climate changes from AOGCM simulations via the Reliability Ensemble Averaging (REA) method." Journal of Climate, Vol. 15, No. 5, pp. 1141-1158. https://doi.org/10.1175/1520-0442(2002)015<1141:COAURA>2.0.CO;2
  9. Jisu lee, Ilsang Ohn, Yongdai Kim. (2018). Uncertainty decomposition by scenarios in water resource projections. Journal of the Korean Data & Information Science Society, Vol. 29(6), pp. 1469-1480 https://doi.org/10.7465/jkdi.2018.29.6.1469
  10. Jones, R. N. (2000). "Managing uncertainty in climate change projections: issues for impact assessment." Climatic change, Vol. 45, No. 3-4, pp. 403-419. https://doi.org/10.1023/A:1005551626280
  11. Kim, Y., Ohn, I., Lee, J.-K., and Kim, Y.-O. (2018). "Generalizing uncertainty decomposition theory in climate change impact assessments." Journal of Hydrology. (under revision).
  12. Lee, J. K., Kim, Y. O., and Kim, Y. (2017). "A new uncertainty analysis in the climate change impact assessment." International Journal of Climatology, Vol. 37, No. 10, pp. 3837-3846. https://doi.org/10.1002/joc.4957
  13. Lee, J., Ohn, I., and Kim, Y. (2018). "Uncertainty decomposition by scenarios in water resource projections" Journal of the Korean Data & Information Science Society, submitted.
  14. Milly, P. C. D., Betancourt, J., Falkenmark, M., Hirsch, R. M., Kundzewicz, Z. W., Lettenmaier, D. P., and Stouffer, R. J. (2008). "Stationarity is dead: Whither water management?" Science, Vol. 319, No. 5863, pp. 573-574. https://doi.org/10.1126/science.1151915
  15. N'obrega, M., Collischonn, W., Tucci, C., and Paz, A. (2011). "Uncertainty in climate change impacts on water resources in the Rio Grande basin, Brazil." Hydrology and Earth System Sciences, Vol. 15, No. 2, pp. 585-595. https://doi.org/10.5194/hess-15-585-2011
  16. Ohn, I., Kim, Y., Kim, Y.-O. (2018). Uncertainty decompositon in hydrological projection considering interaction effects. Journal of Korea Water Resources Association, submitted.
  17. Yip, S., Ferro, C. A., Stephenson, D. B., and Hawkins, E. (2011). "A simple, coherent framework for partitioning uncertainty in climate predictions." J https://doi.org/10.1175/2011JCLI4085.1