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11 IMSC Session Program<br />

A statistical downscaling model for Southern Australia winter<br />

rainfall<br />

Wednesday - Poster Session 5<br />

Yun Li 1 and Ian Smith 2<br />

1<br />

CSIRO Mathematical and Information Sciences, Wembley, Australia<br />

2<br />

CSIRO Marine and Atmospheric Research, CSIRO Water for a Health Country<br />

Flagship, Aspendale, Australia<br />

A technique for obtaining downscaled rainfall projections from climate model<br />

simulations is described. This technique makes use of the close association between<br />

mean sea level pressure (MSLP) patterns and rainfall over southern Australia during<br />

winter. Principal components of seasonal mean MSLP anomalies are linked to<br />

observed rainfall anomalies at regional, grid point and point scales. A maximum of 4<br />

components is sufficient to capture a relatively large fraction of the observed variance<br />

in rainfall at most locations. These are used to interpret the MSLP patterns from a<br />

single climate model which has been used to simulate the both present day and future<br />

climate. The resulting downscaled values provide (a) a closer representation of the<br />

observed present day rainfall than the raw climate model values and, (b) provide<br />

alternative estimates of future changes to rainfall that arise due to changes in mean<br />

MSLP. While decreases are simulated for later this century (under a single emissions<br />

scenario), the downscaled values, in percentage terms, tend to be less.<br />

Abstracts 217

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