12.08.2013 Views

final_program_abstracts[1]

final_program_abstracts[1]

final_program_abstracts[1]

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

11 IMSC Session Program<br />

Dynamical downscaling of future climate change in the<br />

Mediterranean region<br />

Wednesday - Poster Session 5<br />

Andreas Paxian, Gernot Vogt and Heiko Paeth<br />

Geographical Institute, University of Würzburg, Würzburg, Germany<br />

The German KLIWEX-MED project aims to analyse the regional characteristics and<br />

intensity of climate change in the Mediterranean Basin with special focus on extreme<br />

events like heavy precipitation, heat waves and droughts. Corresponding uncertainties<br />

are quantified in a probabilistic sense.<br />

For the investigation of dynamical downscaling, we consider simulations of the global<br />

climate model ECHAM5/MPI-OM (1.875°) as well as simulations of the highresolution<br />

(0.5°) regional climate model REMO which is nested in ECHAM5/MPI-<br />

OM for the time period 1961-2050. As forcing we consider observed GHG emissions<br />

for 1961-2000 and A1b and B1 emission scenarios for 2001-2050.<br />

We present means and trends of seasonal temperature and precipitation of both<br />

REMO and ECHAM5/MPI-OM for the time periods 1961-2000 and 1961-2050. For<br />

the present-day time period the findings are validated with observational data from<br />

CRU TS 2.1 and ENSEMBLES WP5.1. The whole time period presents a projection<br />

of decadal future climate change in the Mediterranean region. In comparing regional<br />

and global climate model results we reveal the added value of high-resolution regional<br />

climate modelling.<br />

To prove if the forcing global climate model ECHAM5 is a representative member of<br />

the multi-model ensemble of the IPCC AR4, its long-term mean and trend for the time<br />

period 1961-2050 are compared to the corresponding multi-model mean values of the<br />

AR4 global climate models interpolated on a common 3°x3° model grid.<br />

In turn, to quantify and test the signal-to-noise ratio of the climate change projection<br />

of the whole multi-model ensemble, the resulting total temperature and precipitation<br />

variability is subdivided by means of two-way analysis of variance into external, as<br />

imposed by radiative forcing, and internal variability, as imposed by different model<br />

parameterisations and initial conditions.<br />

Furthermore, certain differences between present-day REMO and observational trends<br />

can be explained by a deviation of the temporal evolutions of few main large-scale<br />

circulation patterns, mainly the winter NAO, simulated by the forcing model<br />

ECHAM5/MPI-OM from those of recent observations. This deviation has been found<br />

in a seasonal principal component analysis and can be correlated to the mentioned<br />

temperature and precipitation trend differences.<br />

Abstracts 209

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!