Abstract
Monthly rainfall in the Heihe River Basin (HRB) was simulated by the dynamical downscaling model (DDM) and statistical downscaling model (SDM). The rainy-season rainfall in the HRB obtained by SDM and DDM was compared with the observed datasets (OBS) over the period of 2003–2012. The results showed the following: (1) Both methods reasonably reproduced the spatial pattern of rainy-season rainfall in the HRB with a high-level skill. Rainfall simulated by DDM was better than that by SDM in the upstream, with biases of −12.09 and −13.59 %, respectively; rainfall simulated by SDM was better than that by DDM in the midstream, with biases of 3.91 and −23.22 %, respectively; there was little difference between the rainfall simulated by SDM and DDM in the downstream, with biases of −10.89 and −9.50 %, respectively. (2) Both methods reasonably reproduced monthly rainfall in rainy season in different subregions. Rainfall simulated by DDM was better than that by SDM in May and July in the upstream, whereas rainfall simulated by SDM was closer to OBS except August in the midstream and except August and September in the downstream. (3) For multi-year mean rainy-season rainfall in different stations, there was a little difference between the rainfall simulated by DDM and SDM in Tuole station in the upstream, with biases of −13.16 and −12.40 %, respectively; rainfall in Zhangye station simulated by SDM was overestimated with bias of 14.02 %, and rainfall simulated by DDM was underestimated with bias of −14.60 %; rainfall in Dingxin station simulated by DDM was reproduced better than that by SDM, with biases of −19.34 and −32.75 %, respectively.
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Cheng GD, Xiao HL, Xu ZM, et al. (2006) Water issue and its countermeasure in the inland river basin of Northwest China (in Chinese). J Glaciol Geocryol 28:406–413
Dee DP, Uppala SM, Simmons AJ, et al. (2011) The ERA-interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 237:553–597
Denis B, Laprise R, Caya D, et al. (2002) Downscaling ability of one-way nested regional climate models: the big brother experiment. Clim Dyn 18:627–646. doi:10.1007/s00382-001-0201-0
Druyan LM, Fulakeza M, Lonergan P (2002) Dynamical downscaling of seasonal climate predictions over Brazil. J Clim 15:3411–3426
Gao YH, Cheng GD (2008) Several points on mass and energy interaction between land surface and atmosphere in the Heihe River Basin (in Chinese). Adv Earth Sci 23:779–784
Gao YH, Cheng GD, Cui WR, et al. (2006) Coupling of enhanced land surface hydrology with atmospheric mesoscale model and its implement in the Heihe River Basin (in Chinese). Adv Earth Sci 21:1283–1292
Gao YH, Cheng GD, Liu W (2007) Setup and validation of the soil texture type distribution data in the Heihe River Basin (in Chinese). Plateau Meteorol 26:958–966
Harding KJ, Snyder PK (2014) Examining future changes in the character of Central U.S. warm-season precipitation using dynamical downscaling. J Geophys Res Atmos 119:13,116–13,136. doi:10.1002/2014JD022575
Houghton JT, Ding Y, Griggs DG, et al. (2001) Climate change: the scientific basis. Cambridge Univ, Cambridge
Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Leetmaa A, Reynolds B, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo KC, Ropelewski C, Wang J, Jenne R, Joseph D (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77:437–471
Lan YC et al. (2005) Change of water resources in mountainous area of Heihe River under global- warming scene (in Chinese). J Desert Res 25:863–868
Lenderink G, Buishand A, van Deursen A (2007) Estimates of future discharges of the river Rhine using two scenario methodologies: direct versus delta approach. Hydrol Earth Syst Sci 11:1145–1159
Liu SH, Jiang HY, Hu F, et al. (2008) A study of surface energy fluxes in Heihe region simulated with a mesosca1e atmospheric model (in Chinese). Chin J Atmos Sci 32:1392–1400
Li Y, Smith I (2008) A statistical downscaling model for Southern Australia Winter Rainfall. J Clim 22:1142–1158
Maraun D, Osborn TJ, Rust HW (2011) The influence of synoptic airflow on UK daily precipitation extremes. Part I: observed spatiotemporal relationships. Clim Dyn 36:261–275
Mearns LO, Bogardei I, Giorgix F, Matyasovszky I, Paleckei M (1999) Comparison of climate change scearios generated from regional climate model experiments and statistical downscaling. J Geophys Res 104:6603–6621
Mehrotra R, Evans JP, Sharma A, Sivakumar B (2014) Evaluation of downscaled daily rainfall hindcasts over Sydney, Australia using statistical and dynamical downscaling approaches. Hydrol Res 45:226–249
Ruping M, Straus DM (2002) Statistical–dynamical seasonal prediction based on principal component regression of GCM ensemble integrations. Mon Weather Rev 130:2167–2178
Murphy J (1999) An evaluation of statistical and dynamical techniques for downscaling local climate. J Clim 12:2256–2284
Pan XD, Li X, Ran YH, et al. (2012) Impact of underlying surface information on WRF modeling in Heihe River Basin (in Chinese). Plateau Meteorol 31:657–667
Schmidli J et al. (2007) Statistical and dynamical downscaling of precipitation: An evaluation and comparison of scenarios for the European Alps. J Geophys Res 112:D04105
Siegmund J, Bliefernicht J, Laux P, Kunstmann H (2014) Toward a seasonal precipitation prediction system for West Africa: performance of CFSv2 and high–resolution dynamical downscaling. J Geophys Res Atmos 120:7316–7339. doi:10.1002/2014JD022692
Von Storch H, Zorita E, Cubasch U (1993) Downscaling of global climate change estimate to regional scales: an application to Iberian rainfall in wintertime. J Clim 6:1161–1171
Wetterhall F, Bárdossy A, Chen D, Halldin S, Xu CY (2006) Daily precipitation–downscaling techniques in three Chinese regions. Water Resour Res 42:W11423
Wilby RL, Wigley TML (1997) Downscaling general circulation model output: A review of methods and limitations. Prog Phys Geogr 21:530–548
Wilby RL, Wigley TML (2000) Precipitation predictors for downscaling: observed and general circulation model relationships. Int J Climatol 20:641–661
Xiong Z, Yan XD (2013) Building a high-resolution regional climate model for the Heihe River Basin and simulating precipitation over this region. Chin Sci Bull 58:4670–4678. doi:10.1007/s11434-013-5971-3
Xu JJ et al. (2012) Dynamical downscaling precipitation over southwest Asia: impacts of radiance data assimilation on the forecasts of the WRF-ARW model. Atmos Res 111:90–103
Zhang LJ, Zhao WZ, He ZB, et al. (2008) The characteristics of precipitation and its effects on runoff in a small typical catchment of Qilian Mountain (in Chinese). J Glaciol Geocryol 30:776–782
Zorita E, Hughes JP, et al. (1994) Stochastic characterization of regional circulation patterns for climate model diagnosis and estimation of local precipitation. J Clim 8:1023–1042
Acknowledgments
This study was financially supported by the National Natural Science Foundation of China (Grant No. 91425304 and 51339004) and Chinese Academy of Sciences Strategic Priority Program (Grant No. XDA05090206). The authors thank the Environmental and Ecological Science Data Center of Western China, National Natural Science Foundation of China, for providing the meteorological and hydrological observation datasets.
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Su, H., Xiong, Z., Yan, X. et al. Comparison of monthly rainfall generated from dynamical and statistical downscaling methods: a case study of the Heihe River Basin in China. Theor Appl Climatol 129, 437–444 (2017). https://doi.org/10.1007/s00704-016-1771-4
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DOI: https://doi.org/10.1007/s00704-016-1771-4