2017
DOI: 10.5194/asr-14-247-2017
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Seasonal range test run with Global Eta Framework

Abstract: 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 … Show more

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Cited by 1 publication
(2 citation statements)
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“…Some preliminary results with this version of the model were shown in Latinović et al . (), where the ability of GEF to perform simulations with increased horizontal resolution and upgraded version of cubed‐sphere and its stability in long‐term seasonal integrations were confirmed. The results shown here show high level of spatial correlation between the model simulations and the reanalyses for almost all analysed variables, with correlations of five out of six variables varying from 0.85 to 0.99.…”
Section: Discussionmentioning
confidence: 98%
See 1 more Smart Citation
“…Some preliminary results with this version of the model were shown in Latinović et al . (), where the ability of GEF to perform simulations with increased horizontal resolution and upgraded version of cubed‐sphere and its stability in long‐term seasonal integrations were confirmed. The results shown here show high level of spatial correlation between the model simulations and the reanalyses for almost all analysed variables, with correlations of five out of six variables varying from 0.85 to 0.99.…”
Section: Discussionmentioning
confidence: 98%
“…The high computational demand of the spectral model for long‐term simulations limits the CPTEC global models to the coarse resolution of about 200 km. The GEF development at CPTEC for seasonal forecasts (Latinović et al ., ) is a less computationally demanding alternative for the operational seasonal forecasts at the centre.…”
Section: Model Specification Methods and Datamentioning
confidence: 99%