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- W2044015183 abstract "In this paper we tested the performance of the FinROSE chemistry transport model for three different datasets from the European Centre for Medium-Range Weather Forecasts (ECMWF). Global middle atmospheric simulations from 1990 to 2005 were done using winds and temperatures from the ECMWF re-analysis (ERA) datasets, the ERA-40, the operational and the ERA-Interim. Analysis data was used in all simulations. The performance of the model for each dataset was analysed using the simulated stratospheric age-of-air and the ascent rate in the tropics. The ERA-40 data produced with a three-dimensional variational assimilation system (3D-Var) resulted in a too strong Brewer–Dobson circulation. The operational analysis produced with a four-dimensional variational assimilation system (4D-Var) gave somewhat improved results, and the new 4D-Var ERA-Interim re-analysis resulted in a much more realistic upward transport. Also the modelled ozone showed better agreement with observations when using the new re-analysis data." @default.
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- W2044015183 date "2010-12-14" @default.
- W2044015183 modified "2023-09-23" @default.
- W2044015183 title "The effects of driver data on the performance of the FinROSE chemistry transport model" @default.
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- W2044015183 doi "https://doi.org/10.1080/01431160903413721" @default.
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