A comparison of three multi-site statistical downscaling models for daily rainfall in the North China Plain

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• 作者：Wenbin Liu (1) (3)
  Guobin Fu (2)
  Changming Liu (1)
  Stephen P. Charles (2)
  
• 刊名：Theoretical and Applied Climatology
• 出版年：2013
• 出版时间：4 - February 2013
• 年：2013
• 卷：111
• 期：3
• 页码：585-600
• 全文大小：1482KB
• 参考文献：1. Ambrosino C, Chandler RE, Todd MC (2010) Southern African monthly rainfall variability: an analysis based on generalized linear models. J Climate 24:4600鈥?617. doi:10.1175/2010JCLI3924.1 CrossRef
  2. Bates BC, Charles SP, Hughes JP (1998) Stochastic downscaling of numerical climate model simulations. Environ Model Softw 13(3鈥?):325鈥?31 CrossRef
  3. Chandler RE (2002) GLIMCLIM: Generalised linear modelling for daily climate Time Series (software and user guide). Research Report No.227, Department of Statistical Science, University College London. http://www.ucl.ac.uk/Stats/research/abs02.html#227
  4. Chandler RE (2005) On the use of generalized linear models for interpreting climate variability. Environmetrics 16:699鈥?15 CrossRef
  5. Chandler RE, Wheater HS (2002) Analysis of rainfall variability using generalized linear models: a case study from the west of Ireland. Water Resour Res 38(10):1192. doi:10.1029/2001WR000906 CrossRef
  6. Charles SP, Bates BC, Hughes JP (1999) A spatial-temporal model for downscaling precipitation occurrence and amounts. J Geophy Res 104(D24):31657鈥?1669. doi:10.1029/1999JD900119 CrossRef
  7. Charles SP, Bates BC, Viney NR (2003) Linking atmospheric circulation to daily rainfall patterns across the Murrumbidgee River Basin. Water Sci Technol 48:233鈥?40
  8. Charles SP, Bates BC, Smith IN, Hughes JP (2004) Statistical downscaling of daily precipitation from observed and modeled atmospheric fields. Hydrol Process 18:1373鈥?394. doi:10.1002/hyp.1418 CrossRef
  9. Charles SP, Bari MA, Kitsuos A, Bates BC (2007) Effect of GCM bias on downscaled precipitation and runoff projections for the Serpentine catchment, Western Australia. Int J Climatol 27: 1673鈥?690. doi:10.1002/joc.1508
  10. Chen ST, Yu PS, Tang YH (2010) Statistical downscaling of daily precipitation using support vector machines and multivariate analysis. J Hydrol 385:13鈥?2. doi:10.1016/j.jhydrol.2010.01.021 CrossRef
  11. Chiew FHS, Kirono DGC, Kent DM, Frost AJ, Charles SP, Timbal B, Nguyen KC, Fu GB (2010) Comparison of runoff modeled using rainfall from different downscaling methods for historical and future climates. J Hydrol 387:10鈥?3. doi:10.1016/j.jhydrol.2010.03.025 CrossRef
  12. Chu JT, Xia J, Xu CY, Singh VP (2010) Statistical downscaling of daily mean temperature, pan evaporation and precipitation for climate change scenarios in Haihe River, China. Theor Appl Climatol 99:149鈥?61. doi:10.1007/s00704-009-0129-6 CrossRef
  13. Dibike YB, Coulibaly P (2005) Hydrologic impact of climate change in the Saguenay watershed: comparison of downscaling methods and hydrologic models. J Hydrol 307:145鈥?63. doi:10.1016/j.jhydrol.2004.10.012 CrossRef
  14. Fowler HJ, Kilsby CG, O'Connell PE, Burton A (2005) A weather-type conditioned multi-site stochastic rainfall model for the generation of scenarios of climatic variability and change. J Hydrol 308(1鈥?):50鈥?6. doi:10.1016/j.jhydrol.2004.10.021 CrossRef
  15. Fowler HJ, Blenkinsop S, Tebaldi C (2007) Linking climate change modeling to impacts studies: recent advances in downscaling techniques for hydrological modeling. Int J Climatol 27:1547鈥?578. doi:10.1002/joc.1556 CrossRef
  16. Frost AJ, Charles SP, Timbal B, Chiew FHS, Mehrotra R, Nguyen KC, Chandler RE, McGregor JL, Fu GB, Kirono DGC (2011) A comparison of multi-site daily rainfall downscaling techniques under Australian conditions. J Hydrol 408:1鈥?8. doi:10.1016/j.jhydrol.2011.06.021 CrossRef
  17. Fu GB, Charles SP (2011) Statistical downscaling of daily rainfall for southeastern Australia. In: Hydro-climatology: variability and change (Proceedings of symposium JH02 held during IUGG2011 in Melbourne, Australia, July 2011). IAHS Publ 344:69鈥?4
  18. Fu GB, Charles SP, Chiew FHS (2007) A two-parameter climate elasticity of streamflow index to assess climate change effects on annual streamflow. Water Resour Res 43:W11419. doi:10.1029/2007WR005890 CrossRef
  19. Fu GB, Charles SP, Yu JJ, Liu CM (2009) Decadal climatic variability, trends and future scenarios for the North China Plain. J Climate 22:2111鈥?123. doi:10.1175/2008JCLI2605.1 CrossRef
  20. Gachon P, Dibike Y (2007) Temperature change signals in northern Canada: convergence of statistical downscaling results using two driving GCMs. Int J Climatol 27:1623鈥?641. doi:10.1002/joc.1582 CrossRef
  21. Grotch SL, MacCracken MC (1991) The use of general circulation models to predict regional climatic change. J Climate 4:286鈥?03 CrossRef
  22. Harpham C, Wilby RL (2005) Multi-site downscaling of heavy daily precipitation occurrence and amounts. J Hydrol 312:235鈥?55. doi:10.1016/j.jhydrol.2005.02.020 CrossRef
  23. Hay LE, Wilby RL, Leavesley GH (2000) A comparison of delta change and downscaled GCM scenarios for three mountainous basins in the Unites States. J Am Water Resour As 36:387鈥?97. doi:10.1111/j.1752-1688.2000.tb04276.x CrossRef
  24. Hughes JP, Guttorp P, Charles SP (1999) A non-homogeneous hidden Markov model for precipitation occurrence. J R Stat Soc C-Appl 48(1):15鈥?0 CrossRef
  25. Khan MS, Coulibaly P, Dibike Y (2006) Uncertainty analysis of statistical downscaling methods. J Hydrol 319:357鈥?82. doi:10.1016/j.jhydrol.2005.06.035 CrossRef
  26. Kirshner S (2005) Modeling of multivariate time series using hidden Markov models. University of California, Irvine, Dissertation
  27. Kirshner S (2007) Learning with tree-average densities and distributions. Adv Neural Inform Process Syst, NIPS 2007, December 2007
  28. Leith NA, Chandler RE (2010) A framework for interpreting climate model outputs. J Roy Stati Soc C 59:279鈥?96. doi:10.1111/j.1467-9876.2009.00694.x CrossRef
  29. Liao Y, Zhang W, Chen D (2004) Stochastic modeling of daily precipitation in China. J Geogr Sci 114(4):417鈥?26
  30. Liu ZF, Xu ZX, Charles SP, Fu GB, Liu L (2011) Evaluation of two statistical downscaling models for daily precipitation over and arid basin in China. Int J Climatol 31:2006鈥?020. doi:10.1002/joc.2211 CrossRef
  31. Maraun D, Wetterhall F, Ireson AM, Chandler RE, Kendon EJ, Widmann M, Brienen S, Rust HW, Suater T, Theme脽l M, Venema VKC, Chun KP, Goodess CM, Jones RG, Onof C, Vrac M, Ehiele-Eich I (2010) Precipitation downscaling under climate change: recent developments to bridge the gap between dynamical models and the end user. Rev Geophys 48:RG3003. doi:10.1029/2009RG000314 CrossRef
  32. Mehrotra R, Sharma A (2007) Preserving low-frequency variability in generated daily rainfall sequences. J Hydrol 345(1鈥?):102鈥?20. doi:10.1016/j.jhydrol.2007.08.003 CrossRef
  33. Raje D, Mujumdar PP (2011) A comparison of three methods for downscaling daily precipitation in the Punjab region. Hydrol Process 25(23):3575鈥?589. doi:10.1002/hyp.8083 CrossRef
  34. Robertson AW, Kershner S, Smyth P (2004) Downscaling of daily rainfall occurrence over Northeast Brazil using a hidden Markov model. J Climate 17:4407鈥?424 CrossRef
  35. Samel AN, Wang WC, Liang XZ (1999) The monsoon rainband over China and relationships with the Eurasian circulation. J Climate 12:115鈥?31 CrossRef
  36. Timbal B, Hope P, Charles S (2008a) Evaluating the consistency between statistically downscaled and global dynamical model climate change projections. J Climate 21:6052鈥?059. doi:10.1175/2008JCLI2379.1 CrossRef
  37. Timbal B, Fernandez E, Li Z (2008b) Generalization of a statistical downscaling model to provide local climate change projections for Australia. Environ Model Softw 24:342鈥?58. doi:10.1016/j.envsoft.2008.07.007
  38. Tryhorn L, DeGaetano A (2010) A comparison of techniques for downscaling extreme precipitation over the Northeastern United States. Int J Climatol 31(13):1975鈥?989. doi:10.1002/joc.2208 CrossRef
  39. Vidal JP, Wade SD (2008) Multimodel projections of catchment-scale precipitation regime. J Hydrol 353:143鈥?58. doi:10.1016/j.jhydrol.2008.02.003 CrossRef
  40. Wetterhall F, B谩rdossy A, Chen DL, Halldin S, Xu CY (2006) Daily precipitation-downscaling techniques in three Chinese regions. Water Resour Res 42:W11423. doi:10.1029/2005WR004573 CrossRef
  41. Wilby RL, Wigley TML (2000) Precipitation prdictors for dowscaling: observed and general circulation model relationships. Int J Climatol 20:641鈥?61 CrossRef
  42. Wilby RL, Dawson CW, Barrow EM (2002) SDSM鈥擜 decision support tool for the assessment of regional climate change impacts. Environ Model Softw 17:147鈥?59 CrossRef
  43. Wilby RL, Tomlinson OJ, Dawson CW (2003) Multi-site simulation of precipitation by conditional resampling. Climate Res 23:183鈥?94 CrossRef
  44. Wilby RL, Charles SP, Zorita E, Timbal B, Whetton P, Mearns LO (2004) Guidelines for Use of Climate Scenarios Developed from Statistical Downscaling Methods. IPCC Task Group on Data and Scenario Support for Impact and Climate Analysis (TGICA), http://ipcc-ddc.cru.uea.ac.uk/gu-idelines/StatDown_Guide.pdf
  45. Xu CY (1999) From GCM2 to river flow: a review of downscaling methods and hydrologic modeling approaches. Progr Phys Geogr 23(2):229鈥?49
  46. Yan Z, Bate S, Chandler RE, Isham V, Wheater H (2006) Changes in extreme wind speeds in NW Europe simulated by generalized linear models. Theor Appl Climatol 83:121鈥?37. doi:10.1007/s00704-005-0156-x CrossRef
  47. Yang C, Chandler RE, Isham VS, Wheater HS (2005) Spatial-temporal rainfall simulation using generalized linear models. Water Resour Res 41:W11415. doi:10.1029/2004WR003739 CrossRef
  
• 作者单位：Wenbin Liu (1) (3)
  Guobin Fu (2)
  Changming Liu (1)
  Stephen P. Charles (2)
  
  1. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
  3. Graduate University of Chinese Academy of Sciences, Beijing, 10049, China
  2. CSIRO Land and Water, Private Bag 5, Wembley, WA, 6913, Australia
  
• ISSN：1434-4483

文摘

Three statistical downscaling methods (conditional resampling statistical downscaling model: CR-SDSM, the generalised linear model for daily climate time series: GLIMCLIM, and the non-homogeneous hidden Markov model: NHMM) for multi-site daily rainfall were evaluated and compared in the North China Plain (NCP). The comparison focused on a range of statistics important for hydrological studies including rainfall amount, extreme rainfall, intra-annual variability, and spatial coherency. The results showed that no single model performed well over all statistics/timescales, suggesting that the user should chose appropriate methods after assessing their advantages and limitations when applying downscaling methods for particular purposes. Specifically, the CR-SDSM provided relatively robust results for annual/monthly statistics and extreme characteristics, but exhibited weakness for some daily statistics, such as daily rainfall amount, dry-spell length, and annual wet/dry days. GLIMCLIM performed well for annual dry/wet days, dry/wet spell length, and spatial coherency, but slightly overestimated the daily rainfall. Additionally, NHMM performed better for daily rainfall and annual wet/dry days, but slightly underestimated dry/wet spell length and overestimated the daily extremes. The results of this study could be applied when investigating climate change impact on hydrology and water availability for the NCP, which suffers from intense water shortages due to climate change and human activities in recent years.