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Fourth Study Conference on BALTEX Scala Cinema Gudhjem

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Maximum 5 day precipitati<strong>on</strong> (mm)<br />

Number of dry spells<br />

16<br />

14<br />

12<br />

10<br />

8<br />

6<br />

4<br />

2<br />

a<br />

The multiple-regressi<strong>on</strong> method SDSM identified an area<br />

south-west of the study area as the most influential.<br />

Downscaling was also improved when seas<strong>on</strong>ality was<br />

explicitly included. Seas<strong>on</strong>ality was introduced in different<br />

ways; with a sliding time window of varying size or by<br />

splitting the data into quarter years or half years. The<br />

circulati<strong>on</strong> patterns producing precipitati<strong>on</strong> in Sweden are<br />

clearly different between summer and winter half years<br />

(Figure 3).<br />

References<br />

Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven,<br />

D., Gandin, L., Iredell, M., Saha, S., White, G.,<br />

Woollen, J., Zhu, Y., Chelliah, M., Ebisuzaki, W.,<br />

Higgins, W., Janowiak, J., Mo, K.C., Ropelewski, C.,<br />

Wang, J., Leetmaa, A., Reynolds, R., Jenne, R., Joseph,<br />

D., 1996. NCEP/NCAR 40-year reanalysis project.<br />

Bulletin of the American Meteorological Society 77,<br />

437-471, 1996.<br />

120<br />

100<br />

80<br />

60<br />

40<br />

20<br />

- 121 -<br />

Obs<br />

PCA<br />

TWS<br />

Baseline<br />

0<br />

8 10 12 14 16 18 20 22 24 26<br />

Figure 2. Distributi<strong>on</strong> of dry spells (l<strong>on</strong>ger than 7 Dry−spell days) for observed length (days) and downscaled precipitati<strong>on</strong> data from 1991-<br />

1997. The downscaling is based <strong>on</strong> the analogue method with the PCA and TWS techniques and compared to a random<br />

baseline.<br />

Stehlik, J., Bardossy, A., Multivariate stochastic<br />

downscaling model for generating daily precipitati<strong>on</strong><br />

series based <strong>on</strong> atmospheric circulati<strong>on</strong>, Journal of<br />

Hydrology 256, 120-141, 2002.<br />

Wilby, R. L., Daws<strong>on</strong>, C. W., Barrow, E. M., SDSM - a<br />

decisi<strong>on</strong> support tool for the assessment of regi<strong>on</strong>al<br />

climate change impacts, Envir<strong>on</strong>mental Modelling &<br />

Software 17, 147-159, 2002.<br />

Zorita, E., v<strong>on</strong> Storch, H., The analogue method as a<br />

simple statistical downscaling technique: Comparis<strong>on</strong><br />

with more complicated methods, Journal of Climate<br />

12, 2474-2489, 1999.<br />

0<br />

OBS MOFRBC SDSM PCA TWS<br />

Figure 3. Maximum 5-day precipitati<strong>on</strong> for the period 1991-1997 given as an example of the relative merits of the different downscaling<br />

methods. Observed data are shown together with downscaled using the MOFRBC, SDSM and analogue methods, the latter using the PCA<br />

and TWS techniques. Grey bars denote the summer half of the year and black bars the winter half of the year.

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