Analysis of influence the use of cumulus parameterization in the wind simulation with different planetary boundary layer parameterizations
The present work aimed to evaluate the influence of use the cumulus parameterization on the wind shift with two dynamic planetary boundary layer parameterizations using the Weather Research and Forecast model. Studies on model simulations using PBL parameterizations in tropical regions are generally...
| Autores: | , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | Brasil |
| Recursos: | Universidade Federal de Santa Maria (UFSM) |
| Repositorio: | Revista Ciência e Natura (Online) |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/53216 |
| Acesso em linha: | https://periodicos.ufsm.br/cienciaenatura/article/view/53216 |
| Access Level: | acceso abierto |
| Palavra-chave: | Wind Parametrization Planetary boundary layer Vento Parametrização Camada limite planetária |
| Resumo: | The present work aimed to evaluate the influence of use the cumulus parameterization on the wind shift with two dynamic planetary boundary layer parameterizations using the Weather Research and Forecast model. Studies on model simulations using PBL parameterizations in tropical regions are generally rare, mainly due to the lack of experimental observations. This work is part of a project developed in partnership betweenTPP Pecém II, TPP Parnaíba I, Parnaíba II and III generation of S.A. Energy and the Federal University of Santa Maria-UFSM. The Parnaíba Thermoelectric Power Plant (UTE) complex is located in Santo Antônio dos Lopes city in Maranhão and is operated by the Brazilian company Eneva. As energy production through the combustion of natural gas produces wastes that are released into the atmosphere, environmental regulatory bodies demand that verification and control measures be taken, such as chemical species monitoring. Therefore, a good description of the atmosphere is fundamental for the good performance of chemical species dispersion models. Four automatic weather stations were used to validate the model simulations. The model had difficulty reproducing the wind magnitude values as observed. |
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