Internal variability of regional climate models |
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| Authors: | O B Christensen M A Gaertner J A Prego J Polcher |
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| Institution: | (1) Danish Meteorological Institute, Lyngbyvej 100, DK-2100 Copenhagen, Denmark E-mail: obc@dmi.dk, DK;(2) Environmental Sciences Faculty, Universidad de Castilla – La Mancha, Toledo, Spain, ES;(3) Universidad Complutense de Madrid, Madrid, Spain, ES;(4) Laboratoire de Météorologie Dynamique, Paris, France, FR |
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| Abstract: | Two regional climate models have been applied to the task of generating an ensemble of realizations of the year 1982 with
observed boundary conditions in areas covering parts of the Mediterranean countries. These realizations were generated by
applying boundary conditions from the ECMWF ERA reanalysis project consecutively, carrying over the soil variables from the
regional models from one iteration to the next. Monthly mean fields for six iterations of each model have been used as statistical
ensembles in order to investigate the internal variability of the regional model dynamics. This internal variability is a
necessary consequence of the non-linear physical feedback mechanisms of the RCM being active. A small value of internal variability
will give better statistics for climate sensitivity signals, but will make these results less credible. The internal variability
is important for the quantitative assessment of a climate sensitivity signal. With the present choice of models and integration
domains the internal variabilities of surface fields and precipitation do reach levels that are less than, but in summer of
comparable order of magnitude to, corresponding atmospheric variabilities of an atmospheric general circulation model.
Received: 26 October 1999 / Accepted: 18 December 2000 |
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