Nonparametric statistical temporal downscaling of daily precipitation to hourly precipitation and implications for climate change scenarios

Journal of Hydrology

Volumn 510, Issue , 2014, Pages 182-196

  Lee, Taesam ^a   Jeong, Changsam ^b  

^a Gyeongsang National University   (South Korea)

^b Induk University   (South Korea)

Author keywords

Climate change; Daily precipitation; Extreme events; Hourly precipitation; RCP; Temporal downscaling

Indexed keywords

GENETIC ALGORITHMS; LAND USE; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TIME SERIES;

CLIMATE CHANGE SCENARIOS; DAILY PRECIPITATIONS; DOWN-SCALING; EXTREME EVENTS; HYDROLOGICAL EFFECTS; STATISTICAL BEHAVIOR; STOCHASTIC SIMULATIONS; TRANSITION PROBABILITIES;

CLIMATE CHANGE;

CLIMATE CHANGE; DIURNAL VARIATION; DOWNSCALING; EXTREME EVENT; GENETIC ALGORITHM; HYDROMETEOROLOGY; LAND USE CHANGE; MODEL VALIDATION; PARAMETERIZATION; PRECIPITATION (CLIMATOLOGY); PRECIPITATION ASSESSMENT; PROBABILITY; SKEWNESS; TIME SERIES; WATERSHED;

SOUTH KOREA;

EID: 84891810027     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.12.027     Document Type: Article

References (37)

1. Alfieri L., Thielen J., Pappenberger F. Ensemble hydro-meteorological simulation for flash flood early detection in southern Switzerland. J. Hydrol. 2012, 424-425:143-153.
2. Boe J., Terray L., Habets F., Martin E. Statistical and dynamical downscaling of the Seine basin climate for hydro-meteorological studies. Int. J. Climatol. 2007, 27(12):1643-1655.
3. Chen G.F., Qin D.Y., Ye R., Guo Y.X., Wang H. A new method of rainfall temporal downscaling: a case study on sanmenxia station in the Yellow River Basin. Hydrol. Earth Syst. Sci. Discuss. 2011, 8(2):2323-2344.
4. Chen H., Sun J., Wang H. A statistical downscaling model for forecasting summer rainfall in China from DEMETER hindcast datasets. Weather Forecasting 2012, 27(3):608-628.
5. Coulibaly P., Dibike Y.B., Anctil F. Downscaling precipitation and temperature with temporal neural networks. J. Hydrometeoro. 2005, 6(4):483-496.
6. Dai A. Recent changes in the diurnal cycle of precipitation over the United States. Geophys. Res. Lett. 1999, 26(3):341-344.
7. Dai A., Trenberth K.E., Karl T.R. Effects of clouds, soil moisture, precipitation, and water vapor on diurnal temperature range. J. Clim. 1999, 12(8 Part 2):2451-2473.
8. Eagleson P.S. Climate, soil and vegetation: I introduction to water balance dynamics. Water Resour. Res. 1978, 14(5):705-712.
9. Glasbey C.A., Cooper G., McGechan M.B. Disaggregation of daily rainfall by conditional simulation from a point-process model. J. Hydrol. 1995, 165(1-4):1-9.
10. Goldberg D.E. Genetic Algorithms in Search, Optimization, and Machine Learning 1989, Addison-Wesley Pub. Co., Reading, MA, 432 pp.
11. He H., Zhang F. Diurnal variations of warm-season precipitation over Northern China. Mon. Weather Rev. 2010, 138(4):1017-1025.
12. Jones P., Harpham C. UK Climate Projections Science Report: Projections of Future Daily Climate for the UK from the Weather Generator 2009, University of Newcastle, Newcastle.
13. Kendon E.J., Jones R.G., Kjellström E., Murphy J.M. Using and designing GCM-RCM ensemble regional climate projections. J. Clim. 2010, 23(24):6485-6503.
14. Kim, W.-G., Park, J.-H., Lee, E.-R., 2009. Analysis of Namgang Dam Flood Control During Intensive Rianfall in 2006, 28th Annual USSD Conference, USSD, Portland, Oregon.
15. Kondo J., Xu J. Seasonal variations in the heat and water balances for non-vegetated surfaces. J. Appl. Meteorol. 1997, 36:1671-1696.
16. Koutsoyiannis D., Onof C. Rainfall disaggregation using adjusting procedures on a Poisson cluster model. J. Hydrol. 2001, 246(1-4):109-122.
17. Krajewski W.F., Lakshmi V., Georgakakos K.P., Jain S.C. A Monte Carlo study of rainfall sampling effect on a distributed catchment model. Water Resour. Res. 1991, 27(1):119-128.
18. Kumara, J., Brooksb, B.-G.J., Thorntonc, P.E., Dietzeb, M.C., 2012. Sub-daily Statistical Downscaling of Meteorological Variables Using Neural Networks. Procedia Computer Science, vol. 9.
19. Lall U., Sharma A. A nearest neighbor bootstrap for resampling hydrologic time series. Water Resour. Res. 1996, 32(3):679-693.
20. Lee T., Ouarda T.B.M.J. Identification of model order and number of neighbors for k-nearest neighbor resampling. J. Hydrol. 2011, 404(3-4):136-145.
21. Lee T., Ouarda T.B.M.J. Stochastic simulation of nonstationary oscillation hydro-climatic processes using empirical mode decomposition. Water Resour. Res. 2012, 48(W02514):1-15.
22. Lee T., Ouarda T.B.M.J., Jeong C. Nonparametric multivariate weather generator and an extreme value theory for bandwidth selection. J. Hydrol. 2012, 452(25):161-171.
23. Lee, T., Salas, J.D., Frevert, D.K., Fulp, T., 2007. Stochastic Simulation Study of the Colorado River System Utilizing Alternative Models, World Env. and Water Res. Congress 2007, Tempa FL.
24. Lee T., Salas J.D., Prairie J. An enhanced nonparametric streamflow disaggregation model with genetic algorithm. Water Resour. Res. 2010, 46:W08545.
25. Lenderink G., Buishand A., Van Deursen W. Estimates of future discharges of the river Rhine using two scenario methodologies: direct versus delta approach. Hydrol. Earth Syst. Sci. 2007, 11(3):1145-1159.
26. Marani M., Zanetti S. Downscaling rainfall temporal variability. Water Resour. Res. 2007, 43(9).
27. Mason S.J. Simulating climate over western North America using stochastic weather generators. Climatic Change 2004, 62(1-3):155-187.
28. Orlowsky B., Gerstengarbe F.W., Werner P.C. A resampling scheme for regional climate simulations and its performance compared to a dynamical RCM. Theoret. Appl. Climatol. 2008, 92(3-4):209-223.
29. Prairie J.R., Rajagopalan B., Fulp T.J., Zagona E.A. Modified K-NN model for stochastic streamflow simulation. J. Hydrol. Eng. 2006, 11(4):371-378.
30. Prudhomme C., Nick Reynard S.C. Downscaling of global climate models for flood frequency analysis: where are we now?. Hydrol. Process. 2002, 16(6):1137-1150.
31. Rajagopalan B., Lall U. A k-nearest-neighbor simulator for daily precipitation and other weather variables. Water Resour. Res. 1999, 35(10):3089-3101.
32. Rodriquez-Iturbe I., Cox D.R., Isham V. A point process model for rainfall: further developments. Proc. - R. Soc. London Ser. A 1988, 417(1853):283-298.
33. Salas J.D., Lee T. Nonparametric simulation of single-site seasonal streamflows. J. Hydrol. Eng. 2010, 15(4):284-296.
34. Soltani A., Hoogenboom G. A statistical comparison of the stochastic weather generators WGEN and SIMMETEO. Clim. Res. 2003, 24(3):215-230.
35. Wang G., Liu J. The Digital Watershed Model for the Yellow River Basin 2006, China Science Press, Beijing.
36. Yang B.J., Ren L., Chen F., Shi J. Uncertainty research of hydrological prediction in ungauged basis. Water Res. Power 2009, 27(4):7-10.
37. Yin S., Chen D., Xie Y. Diurnal variations of precipitation during the warm season over China. Int. J. Climatol. 2009, 29(8):1154-1170.