Seasonality properties of four statistical-downscaling methods in central Sweden Article First Online: 14 June 2006 Received: 08 December 2004 Revised: 20 June 2005 Accepted: 01 July 2005 DOI:
Cite this article as: Wetterhall, F., Halldin, S. & Xu, CY. Theor. Appl. Climatol. (2007) 87: 123. doi:10.1007/s00704-005-0223-3 Summary
Daily precipitation in northern Europe has different statistical properties depending on season. In this study, four statistical downscaling methods were evaluated in terms of their ability to capture statistical properties of daily precipitation in different seasons. Two of the methods were analogue downscaling methods; one using principal component analysis (PCA) and one using gradients in the pressure field (Teweles-Wobus scores, TWS) to select the analogues in the predictor field. The other two methods were conditional-probability methods; one using classification of weather patterns (MOFRBC) and the other using a regression method conditioning a stochastic weather generator (SDSM). The two analogue methods were used as benchmark methods. The study was performed on seven precipitation stations in south-central Sweden and the large-scale predictor was gridded mean-sea-level pressure over Northern Europe. The four methods were trained and calibrated on 25 years of data (1961–1978, 1994–2000) and validated on 15 years (1979–1993). Temporal and spatial limitations were imposed on the methods to find the optimum predictor settings for the downscaling. The quality measures used for evaluating the downscaling methods were the residuals of a number of key statistical properties, and the ranked probability scores (RPS) for precipitation and maximum length of dry and wet spells. The results showed that (1) the MOFRBC and SDSM outperformed the other methods for the RPS, (2) the statistical properties for the analogue methods were better during winter and autumn; for SDSM and TWS during spring; and for MOFRBC during summer, (3) larger predictor areas were needed for summer and autumn precipitation than winter and spring, and (4) no method could well capture the difference between dry and wet summers.
References Bardossy, A, Duckstein, L, Bogardi, I 1995 Fuzzy rule-based classification of atmospheric circulation patterns Int J Climatol 15 1087 1097 Google Scholar Bardossy, A, Plate, EJ 1992 Space-time model for daily rainfall using atmospheric circulation patterns Water Resources Res 28 1247 1259 CrossRef Google Scholar Barrow, EM, Semenov, MA 1995 Climate change scenarios with high spatial and temporal resolution for agricultural applications Forestry 68 349 360 Google Scholar
Baur F, Hess P, Nagel H (1944) Kalender der Grosswetterlagen Europas 1881–1939. Bad Homburg, 35 pp
Beckmann, BR, Buishand, TA 2002 Statistical downscaling relationships for precipitation in the Netherlands and North Germany Int J Climatol 22 15 32 CrossRef Google Scholar Biau, G, Zorita, E, von Storch, H, Wackernagel, H 1999 Estimation of precipitation by kriging in the EOF Space of the sea level pressure field J Clim 12 1070 1085 CrossRef Google Scholar Conway, D, Jones, PD 1998 The use of weather types and air flow indices for GCM downscaling J Hydrol 212–213 348 361 CrossRef Google Scholar Cubasch, U, von Storch, H, Waszkewitz, E, Zorita, E 1996 Estimates of climate changes in southern Europe using different downscaling techniques Climate Res 7 129 149 Google Scholar Enke, W, Schneider, F, Deutschländer, T 2005 A novel scheme to derive optimized circulation pattern classifications for downscaling and forecast purposes Theor Appl Climatol 82 51 63 CrossRef Google Scholar Epstein, ES 1969 A scoring system for probability forecasts of ranked categories J Appl Meteor 8 985 987 CrossRef Google Scholar
Eriksson B (1983) Data Rörande Sveriges Nederbördsklimat. Normalvärden för Perioden 1952–1980 (Data concerning the precipitation climate of Sweden. Mean values for the period 1951–1980; in Swedish with English abstract). Swedish Meteorological and Hydrological Institute Norrköping 1983: 28, 92 pp
Halldin, S, Gryning, S-E, Gottschalk, L, Jochum, A, Lundin, L-C, Van de Griend, AA 1999 Energy, water and carbon exchange in a boreal forest landscape – NOPEX experiences Agric Forest Meteorol 98–99 5 29 CrossRef Google Scholar Hanssen-Bauer, I, Førland, EJ 2000 Temperature and precipitation variations in Norway and their links to atmospheric circulation Int J Climatol 20 1693 1708 CrossRef Google Scholar Hay, LE, McCabe, GJ, Wolock, DM, Ayers, MA 1991 Simulation of precipitation by weather type analysis Water Resources Res 27 493 501 CrossRef Google Scholar Huth, R, Kysely, J 2000 Constructing site-specific climate change scenarios on a monthly scale using statistical downscaling Theor Appl Climatol 66 13 27 CrossRef Google Scholar Johansson, B, Chen, D 2003 The influence of wind and topography on precipitation distribution in Sweden: Statistical analysis and modelling Int J Climatol 23 1523 1535 CrossRef Google Scholar Kalnay, E, Kanamitsu, M, Kistler, R, Collins, W, Deaven, D, Gandin, L, Iredell, M, Saha, S, White, G, Woollen, J, Zhu, Y, Chelliah, M, Ebisuzaki, W, Higgins, W, Janowiak, J, Mo, KC, Ropelewski, C, Wang, J, Leetmaa, A, Reynolds, R, Jenne, R, Joseph, D 1996 NCEP/NCAR 40-year reanalysis project Bull Amer Meteor Soc 77 437 471 CrossRef Google Scholar Kilsby, CG, Cowpertwaith, PSP, O’Connell, PE, Jones, PD 1998 Predicting rainfall statistics in England and Wales using atmospheric circulation variables Int J Climatol 18 523 539 CrossRef Google Scholar Murphy, AH 1971 A note on the ranked probability score J Appl Meteor 10 155 156 CrossRef Google Scholar Obled, C, Bontron, G, Garcon, R 2002 Quantitative precipitation forecasts: a statistical adaptation of model outputs through an analogues sorting approach Atmos Res 63 303 324 CrossRef Google Scholar
STARDEX (2001) Statistical and regional dynamical downscaling of extremes for European regions, description of work.
Stehlik, J, Bardossy, A 2002 Multivariate stochastic downscaling model for generating daily precipitation series based on atmospheric circulation J Hydrol 256 120 141 CrossRef Google Scholar Stehlik, J, Bardossy, A 2003 Statistical comparison of European circulation patterns and development of a continental scale classification Theor Appl Climatol 76 31 46 CrossRef Google Scholar Teweles, S, Jr, Wobus, HB 1954 Verification of prognostic charts Bull Amer Meteor Soc 35 455 463 Google Scholar Wilby, RL, Dawson, CW, Barrow, EM 2002 SDSM – a decision support tool for the assessment of regional climate change impacts Environ Model Software 17 147 159 CrossRef Google Scholar Wilby, RL, Hay, LE, Leavesley, GH 1999 A comparison of downscaled and raw GCM output: implications for climate change scenarios in the San Juan River Basin, Colorado J Hydrol 225 67 91 CrossRef Google Scholar Wilby, RL, Wigley, TML 1997 Downscaling general circulation model output: a review of methods and limitations Progress Phys Geogr 21 530 548 Google Scholar Wilby, RL, Wigley, TML, Conway, D, Jones, PD, Hewitson, BC, Main, J, Wilks, DS 1998 Statistical downscaling of general circulation model output: A comparison of methods Water Resources Res 34 2995 3008 CrossRef Google Scholar Wetterhall, F, Halldin, S, Xu, C-Y 2005 Statistical precipitation downscaling in central Sweden with the analogue method J Hydrol 360 174 190 CrossRef Google Scholar Xu, C-Y 1999 From GCMs to river flow: a review of downscaling methods and hydrologic modelling approaches Progress Phys Geogr 23 229 249 CrossRef Google Scholar Xu, C-Y, Seibert, J, Halldin, S 1996 Regional water balance modelling in the NOPEX area: development and application of monthly water balance models J Hydrol 180 211 236 CrossRef Google Scholar Zorita, E, Hughes, JP, Lettenmaier, DP, von Storch, H 1995 Stochastic characterization of regional circulation patterns for climate model diagnosis and estimation of local precipitation J Clim 13 223 234 Google Scholar Zorita, E, von Storch, H 1999 The analogue method as a simple statistical downscaling technique: Comparison with more complicated methods J Clim 12 2474 2489 CrossRef Google Scholar