Low (web) Quality - BALTEX

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technique, as it is based on the analysis of model data only,
it can be used the same way for scenarios runs even
reproducing possible changes in these dependencies.
The comparison of the results of reanalysis run and control
run for reference period is presented in Fig. 2 for selected
stations from targeted area after the correction to the real
terrain height for temperature. Although annual bias being
just nearly exactly zero, in monthly data the warm bias of
temperature in GCM driven simulation for colder season is
much higher than for reanalysis driven run, while for
summer season it is opposite.
°C)
4
3
2
1
0
Acknowledgements
This work is supported in framework of EC FP6 STREP
CECILIA (GOCE 037005). Some contributions to the
tasks are supported from local sources as well under
Research Plan of MSMT, No. MSM 0021620860, and in
framework of the project supported by Czech Science
Foundation under No. 205/06/P181. We acknowledge the
E-Obs dataset from the EU-FP6 project ENSEMBLES
(http://www.ensembles-eu.org) and the data providers in
the ECA&D project (http://eca.knmi.nl).
References
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Figure 2. Temperature bias (distribution at 25 Czech
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Figure 3. Changes 2021-2040 (left panels) and 2071-2089 (right panels) against CTRL1961-1970 for
temperature (upper panels) and precipitation (lower panels).