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11 th International Conference on <strong>Urban</strong> Drainage, Edinburgh, Scotland, UK, 2008<br />

CONCLUSIONS AND FUTURE WORK<br />

From this preliminary evaluation, it appears possible to combine RCM precipitation output,<br />

separated into components representing convective and large-scale precipitation, with a<br />

simple stochastic scheme reflecting spatial coverage, to create reasonably accurate realisations<br />

<strong>of</strong> the associated point rainfall process. The downscaled point precipitation series compare<br />

well with observations both in terms <strong>of</strong> general descriptive statistics and extreme values. The<br />

results support the possibility to statistically relate RCM results to short-term point<br />

observations. One possible application discussed above is to use dynamically downscaled<br />

GCM output to assess future changes in point precipitation, which however will require a<br />

very careful treatment <strong>of</strong> the calibration <strong>for</strong> present climate. However, also other applications<br />

may be envisioned, e.g. simulating point precipitation properties in ungauged areas.<br />

We believe the present methodology may constitute a step <strong>for</strong>ward in the search <strong>for</strong> tools to<br />

estimate future point precipitation. Most ef<strong>for</strong>ts to date have involved different versions <strong>of</strong> socalled<br />

delta change, where an observed rainfall time series is modified in line with changes<br />

found in RCM output. The proposed, process-based methodology is likely more flexible than<br />

delta change, which is heavily constrained by the properties <strong>of</strong> the available observations. It<br />

should however be emphasised that it is associated with uncertainty, e..g. because <strong>of</strong> the<br />

simplified descriptions <strong>of</strong> rainfall generating emchanisms in climate models.<br />

Future work will include the following activities: (1) optimisation <strong>of</strong> the coverage parameters<br />

(cc and cl) <strong>for</strong> the different cities, sensitivity testing, split sample calibration, (2) estimation <strong>of</strong><br />

coverage not as fixed areas but as given by additional RCA3 output parameters, e.g.<br />

cloudiness, (3) evaluation and optimisation <strong>for</strong> not only ERA-40-driven RCA3 results but <strong>for</strong><br />

GCM-driven RCA3 results representing present climate, (4) application <strong>of</strong> optimised<br />

downscaling scheme to GCM-driven RCA3 results representing future climate.<br />

ACKNOWLEDGEMENT<br />

The study was funded by The Swedish Research Council <strong>for</strong> Environment, Agricultural<br />

Sciences and Spatial Planning (FORMAS) and The Foundation <strong>for</strong> Strategic Environmental<br />

Research (MISTRA).<br />

REFERENCES<br />

Hernebring C. (2006). 10-års regnets återkomst förr och nu (Design storms in Sweden then and now). VA-<strong>for</strong>sk<br />

publ. 2006-04, Svenskt Vatten, Stockholm (in Swedish).<br />

IPCC (2007). <strong>Climate</strong> Change 2007: The Physical Science Basis, Summary <strong>for</strong> Policymakers. Contribution <strong>of</strong><br />

Working Group I to the Fourth Assessment Report <strong>of</strong> the IPCC<br />

Kjellström E., Bärring L., Gollvik S., Hansson U., Jones C., Samuelsson P., Rummukainen M., Ullerstig A.,<br />

Willén U. and Wyser K. (2005). A 140-year simulation <strong>of</strong> European climate with the new version <strong>of</strong> the<br />

Rossby Centre regional atmospheric climate model (RCA3). Reports Meteorology and Climatology<br />

108, SMHI, Sweden, 54 pp.<br />

Räisänen J., Hansson U., Ullerstig A., Döscher R., Graham L.P., Jones C., Meier H.E.M., Samuelsson P. and<br />

Willén U. (2004). European climate in the late twenty-first century: regional simulations with two<br />

driving global models and two <strong>for</strong>cing scenarios. Clim. Dyn., 22, 13-31.<br />

Uppala S.M., Kållberg P.W., Simmons A.J., Andrae U., da Costa Bechtold V., Fiorino M., Gibson J.K., Haseler<br />

J., Hernandez A., Kelly G.A., Li X., Onogi K., Saarinen S., Sokka N., Allan R.P., Andersson E., Arpe<br />

K., Balmaseda M.A., Beljaars A.C.M., van de Berg L., Bidlot J., Bormann N., Caires S., Chevallier F.,<br />

Deth<strong>of</strong> A., Dragosavac M., Fisher M., Fuentes M., Hagemann S., Hólm E., Hoskins B.J., Isaksen L.,<br />

Janssen P.A.E.M., Jenne R., McNally A.P., Mahfouf J.-F., Morcrette J.-J., Rayner N.A., Saunders<br />

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The ERA-40 re-analysis. Quart. J. R. Meteorol. Soc., 131, 2961-3012.<br />

6 <strong>Downscaling</strong> <strong>of</strong> climate model precipitation

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