Seasonal range test run with Global Eta Framework

Latinović, Dragan; Chou, Sin Chan; Rančić, Miodrag

doi:10.5194/asr-14-247-2017

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i

Seasonal range test run with Global Eta Framework

2017
By Latinović, Dragan ; Chou, Sin Chan ; Rančić, Miodrag
Source: Advances in Science and Research, 14, 247-251

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Journal Title:

Advances in Science and Research
Personal Author:

Latinović, Dragan ; Chou, Sin Chan ; Rančić, Miodrag

Latinović, Dragan ; Chou, Sin Chan ; Rančić, Miodrag Less -
NOAA Program & Office:

NCEP (National Centers for Environmental Prediction) ; NWS (National Weather Service)

NCEP (National Centers for Environmental Prediction) ; NWS (National Weather Service) Less -
Description:

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.
Keywords:

[+]

Atmospheric Science Ecological Modeling Geophysics Pollution
Source:

Advances in Science and Research, 14, 247-251
DOI:

https://doi.org/10.5194/asr-14-247-2017
ISSN:

1992-0636
Format:

PDF
Publisher:

Copernicus GmbH
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/3.0/
Rights Information:

CC BY
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Library
Main Document Checksum:

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urn:sha-512:36308949ea2da46f57f53edab1cc545cf4d9721d761d0fabc4916b68941ae3ef011eafe8d01a823a9e5a8b6b63e153282c5b5e5e8f907a4a9ffc3e081f955efe
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https://repository.library.noaa.gov/view/noaa/63733/noaa_63733_DS1.pdf
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