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A high-resolution 43-year atmospheric hindcast for South America generated with the MPI regional model

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Jacob,  Daniela
The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society;

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Pfeifer,  Susanne
The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society;

/persons/resource/persons37353

Teichmann,  Claas
The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society;

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Citation

Silvestri, G., Vera, C., Jacob, D., Pfeifer, S., & Teichmann, C. (2009). A high-resolution 43-year atmospheric hindcast for South America generated with the MPI regional model. Climate Dynamics, 693-709. doi:10.1007/s00382-008-0423-5.


Cite as: https://hdl.handle.net/21.11116/0000-000B-4672-6
Abstract
An evaluation of the present-day climate in South America simulated by the MPI atmospheric limited area model, REMO, is made. The model dataset was generated by dynamical downscaling from the ECMWF-ERA40 reanalysis and compared to in-situ observations. The model is able to reproduce the low-level summer monsoon circulation but it has some deficiencies in representing the South American Low-Level Jet structure. At upper levels, summer circulation features like the Bolivian High and the associated subtropical jet are well simulated by the model. Sea-level pressure fields are in general well represented by REMO. The model exhibits reasonable skill in representing the general features of the mean seasonal cycle of precipitation. Nevertheless, there is a systematic overestimation of precipitation in both tropical and subtropical regions. Differences between observed and modeled temperature are smaller than 1.5A degrees C over most of the continent, excepting during spring when those differences are quite large. Results also show that the dynamical downscaling performed using REMO introduces some enhancement of the global reanalysis especially in temperature at the tropical regions during the warm season and in precipitation in both the subtropics and extratropics. It is then concluded that REMO can be a useful tool for regional downscaling of global simulations of present and future climates.