The effect of the parameterization model on a regional forecast
This paper describes the effect of parameterization on the NWP/CIMA model. The main features of the model are that it is formulated in terms of the primitive equations and that physical processes such as surface fluxes of momentum, heat and moisture, large scale and convective precipitation, and a s...
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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_01876236_v12_n3_p173_Cerne |
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todo:paper_01876236_v12_n3_p173_Cerne2023-10-03T15:08:44Z The effect of the parameterization model on a regional forecast Cerne, B. Possia, N. Nuñez, M. climate modeling forecasting method parameterization regional climate South America This paper describes the effect of parameterization on the NWP/CIMA model. The main features of the model are that it is formulated in terms of the primitive equations and that physical processes such as surface fluxes of momentum, heat and moisture, large scale and convective precipitation, and a surface temperature diurnal cycle have been included. The parameterizations used in the model were tested on a wide variety of case studies for the southern region of South America. An example a cyclogenesis over Buenos Aires that developed into a dipole of high - low pressure is described here. The results show that vertical diffusion is the main responsible for the changes in temperature, geopotential heights and precipitation. The first two variables are also affected by large scale condensation. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_01876236_v12_n3_p173_Cerne |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
climate modeling forecasting method parameterization regional climate South America |
spellingShingle |
climate modeling forecasting method parameterization regional climate South America Cerne, B. Possia, N. Nuñez, M. The effect of the parameterization model on a regional forecast |
topic_facet |
climate modeling forecasting method parameterization regional climate South America |
description |
This paper describes the effect of parameterization on the NWP/CIMA model. The main features of the model are that it is formulated in terms of the primitive equations and that physical processes such as surface fluxes of momentum, heat and moisture, large scale and convective precipitation, and a surface temperature diurnal cycle have been included. The parameterizations used in the model were tested on a wide variety of case studies for the southern region of South America. An example a cyclogenesis over Buenos Aires that developed into a dipole of high - low pressure is described here. The results show that vertical diffusion is the main responsible for the changes in temperature, geopotential heights and precipitation. The first two variables are also affected by large scale condensation. |
format |
JOUR |
author |
Cerne, B. Possia, N. Nuñez, M. |
author_facet |
Cerne, B. Possia, N. Nuñez, M. |
author_sort |
Cerne, B. |
title |
The effect of the parameterization model on a regional forecast |
title_short |
The effect of the parameterization model on a regional forecast |
title_full |
The effect of the parameterization model on a regional forecast |
title_fullStr |
The effect of the parameterization model on a regional forecast |
title_full_unstemmed |
The effect of the parameterization model on a regional forecast |
title_sort |
effect of the parameterization model on a regional forecast |
url |
http://hdl.handle.net/20.500.12110/paper_01876236_v12_n3_p173_Cerne |
work_keys_str_mv |
AT cerneb theeffectoftheparameterizationmodelonaregionalforecast AT possian theeffectoftheparameterizationmodelonaregionalforecast AT nunezm theeffectoftheparameterizationmodelonaregionalforecast AT cerneb effectoftheparameterizationmodelonaregionalforecast AT possian effectoftheparameterizationmodelonaregionalforecast AT nunezm effectoftheparameterizationmodelonaregionalforecast |
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1782026164476313600 |