Articles | Volume 14
https://doi.org/10.5194/asr-14-247-2017
https://doi.org/10.5194/asr-14-247-2017
20 Jul 2017
 | 20 Jul 2017

Seasonal range test run with Global Eta Framework

Dragan Latinović, Sin Chan Chou, and Miodrag Rančić

Abstract. Global Eta Framework (GEF) is a global atmospheric model developed in general curvilinear coordinates and capable of running on arbitrary rectangular quasi-uniform spherical grids, using stepwise (Eta) representation of the terrain. In this study, the model is run on a cubed-sphere grid topology, in a version with uniform Jacobians (UJ), which provides equal-area grid cells, and a smooth transition of coordinate lines across the edges of the cubed-sphere. Within a project at the Brazilian Center for Weather Forecasts and Climate Studies (CPTEC), a nonhydrostatic version of this model is under development and will be applied for seasonal prediction studies. This note describes preliminary tests with the GEF on the UJ cubed-sphere in which model performance is evaluated in seasonal simulations at a horizontal resolution of approximately 25 km, running in the hydrostatic mode. Comparison of these simulations with the ERA-Interim reanalyses shows that the 850 hPa temperature is underestimated, while precipitation pattern is mostly underestimated in tropical continental regions and overestimated in tropical oceanic regions. Nevertheless, the model is still able to well capture the main seasonal climate characteristics. These results will be used as a control run in further tests with the nonhydrostatic version of the model.

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Short summary
Global Eta Framework (GEF) is run on a cubed-sphere grid topology. A nonhydrostatic version of this atmospheric model is under development at CPTEC, SP, Brazil. This note describes preliminary tests with the GEF in which model performance is evaluated in seasonal simulations at a horizontal resolution of 25 km, running in the hydrostatic mode. Comparison of these simulations with the ERA-Interim reanalyses shows the model is able to well capture the main seasonal climate characteristics.