Dexterity of WRF and GFS models in contrast with vertical radiosonde profiles

The study focused on evaluating the dexterity of numerical prediction models using radiosonde data, which consists of collecting information from the atmospheric profile, which is fundamental for the initialization of the models. For this analysis, two models, GFS and WRF, were compared with radioso...

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Detalles Bibliográficos
Autores: Bezerra, Diego Pereira, Silva, Julio Tota da, Andrade, Antonio Marcos Delfino de, Silva, Arthur Wendell Duarte, Mendes, Ana Vitória Padilha, Mota, Beatriz Freire, Santana, Raoni Aquino Silva de, Andrade, Aurilene Barros dos Santos de, Neves, Theomar Trindade de Araujo Tiburtino, Fitzjarrald, David Roy
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:Brasil
Institución:Universidade Federal de Santa Maria (UFSM)
Repositorio:Revista Ciência e Natura (Online)
Idioma:portugués
OAI Identifier:oai:ojs.pkp.sfu.ca:article/87743
Acceso en línea:https://periodicos.ufsm.br/cienciaenatura/article/view/87743
Access Level:acceso abierto
Palabra clave:Radiossonda
WRF
Modelo
Radiosonde
Model
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repository_id_str
spelling Dexterity of WRF and GFS models in contrast with vertical radiosonde profilesDestreza dos modelos WRF e GFS em contraste com perfis verticais de radiossondaRadiossondaWRFModeloRadiosondeWRFModelThe study focused on evaluating the dexterity of numerical prediction models using radiosonde data, which consists of collecting information from the atmospheric profile, which is fundamental for the initialization of the models. For this analysis, two models, GFS and WRF, were compared with radiosonde observations. The observations used are from the radiosondes launched from the International Airport of Santarém/PA - Maestro Wilson Fonseca. Overall, both models underestimated air temperature measurements at low levels but aligned better at high altitudes. As for the zonal wind, the GFS overestimated at some levels, while the WRF had smaller discrepancies. The models face challenges in predicting air temperature, suggesting limitations in region-specific physics and boundary conditions. Both models had similar performance in the zonal wind forecast. The study highlights the importance of considering such discrepancies in weather forecasting and how these tools can be adjusted to improve their forecasts.O estudo focou em avaliar a destreza dos modelos de previsão numérica usando dados de radiossondas, que consistem em coletar informações do perfil atmosférico, nas quais são fundamentais para a inicialização dos modelos. Para esta análise foram comparados dois modelos, GFS e WRF, com as observações das radiossondas. As observações utilizadas são das radiossondas lançadas do Aeroporto internacional de Santarém/PA - Maestro Wilson Fonseca. De um modo geral, ambos os modelos subestimaram as medições da temperatura do ar em níveis baixos, mas alinhou-se melhor em altitudes elevadas. Quanto ao vento zonal, o GFS superestimou em alguns níveis, enquanto o WRF teve discrepâncias menores. Os modelos enfrentam desafios em prever a temperatura do ar, sugerindo limitações na física e nas condições de contorno específicas da região. Ambos os modelos tiveram desempenho semelhante na previsão do vento zonal. O estudo destaca a importância de considerar tais discrepâncias na previsão meteorológica e como essas ferramentas podem ser ajustadas para melhorar suas previsões.Universidade Federal de Santa Maria2024-12-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaenatura/article/view/8774310.5902/2179460X87743Ciência e Natura; Vol. 46 No. esp. 2 (2024): XIII Workshop Brasileiro de Micrometeorologia; e87743Ciência e Natura; v. 46 n. esp. 2 (2024): XIII Workshop Brasileiro de Micrometeorologia; e877432179-460X0100-8307reponame:Revista Ciência e Natura (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaenatura/article/view/87743/65091Copyright (c) 2024 Ciência e Naturainfo:eu-repo/semantics/openAccessBezerra, Diego PereiraSilva, Julio Tota daAndrade, Antonio Marcos Delfino deSilva, Arthur Wendell DuarteMendes, Ana Vitória PadilhaMota, Beatriz FreireSantana, Raoni Aquino Silva deAndrade, Aurilene Barros dos Santos deNeves, Theomar Trindade de Araujo TiburtinoFitzjarrald, David Roy2025-02-20T14:30:06Zoai:ojs.pkp.sfu.ca:article/87743Revistahttps://periodicos.ufsm.br/cienciaenatura/indexPUBhttps://periodicos.ufsm.br/cienciaenatura/oaicienciaenatura@ufsm.br || centraldeperiodicos@ufsm.br2179-460X0100-8307opendoar:2025-02-20T14:30:06Revista Ciência e Natura (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Dexterity of WRF and GFS models in contrast with vertical radiosonde profiles
Destreza dos modelos WRF e GFS em contraste com perfis verticais de radiossonda
title Dexterity of WRF and GFS models in contrast with vertical radiosonde profiles
spellingShingle Dexterity of WRF and GFS models in contrast with vertical radiosonde profiles
Bezerra, Diego Pereira
Radiossonda
WRF
Modelo
Radiosonde
WRF
Model
title_short Dexterity of WRF and GFS models in contrast with vertical radiosonde profiles
title_full Dexterity of WRF and GFS models in contrast with vertical radiosonde profiles
title_fullStr Dexterity of WRF and GFS models in contrast with vertical radiosonde profiles
title_full_unstemmed Dexterity of WRF and GFS models in contrast with vertical radiosonde profiles
title_sort Dexterity of WRF and GFS models in contrast with vertical radiosonde profiles
dc.creator.none.fl_str_mv Bezerra, Diego Pereira
Silva, Julio Tota da
Andrade, Antonio Marcos Delfino de
Silva, Arthur Wendell Duarte
Mendes, Ana Vitória Padilha
Mota, Beatriz Freire
Santana, Raoni Aquino Silva de
Andrade, Aurilene Barros dos Santos de
Neves, Theomar Trindade de Araujo Tiburtino
Fitzjarrald, David Roy
author Bezerra, Diego Pereira
author_facet Bezerra, Diego Pereira
Silva, Julio Tota da
Andrade, Antonio Marcos Delfino de
Silva, Arthur Wendell Duarte
Mendes, Ana Vitória Padilha
Mota, Beatriz Freire
Santana, Raoni Aquino Silva de
Andrade, Aurilene Barros dos Santos de
Neves, Theomar Trindade de Araujo Tiburtino
Fitzjarrald, David Roy
author_role author
author2 Silva, Julio Tota da
Andrade, Antonio Marcos Delfino de
Silva, Arthur Wendell Duarte
Mendes, Ana Vitória Padilha
Mota, Beatriz Freire
Santana, Raoni Aquino Silva de
Andrade, Aurilene Barros dos Santos de
Neves, Theomar Trindade de Araujo Tiburtino
Fitzjarrald, David Roy
author2_role author
author
author
author
author
author
author
author
author
dc.subject.por.fl_str_mv Radiossonda
WRF
Modelo
Radiosonde
WRF
Model
topic Radiossonda
WRF
Modelo
Radiosonde
WRF
Model
description The study focused on evaluating the dexterity of numerical prediction models using radiosonde data, which consists of collecting information from the atmospheric profile, which is fundamental for the initialization of the models. For this analysis, two models, GFS and WRF, were compared with radiosonde observations. The observations used are from the radiosondes launched from the International Airport of Santarém/PA - Maestro Wilson Fonseca. Overall, both models underestimated air temperature measurements at low levels but aligned better at high altitudes. As for the zonal wind, the GFS overestimated at some levels, while the WRF had smaller discrepancies. The models face challenges in predicting air temperature, suggesting limitations in region-specific physics and boundary conditions. Both models had similar performance in the zonal wind forecast. The study highlights the importance of considering such discrepancies in weather forecasting and how these tools can be adjusted to improve their forecasts.
publishDate 2024
dc.date.none.fl_str_mv 2024-12-16
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufsm.br/cienciaenatura/article/view/87743
10.5902/2179460X87743
url https://periodicos.ufsm.br/cienciaenatura/article/view/87743
identifier_str_mv 10.5902/2179460X87743
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaenatura/article/view/87743/65091
dc.rights.driver.fl_str_mv Copyright (c) 2024 Ciência e Natura
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Ciência e Natura
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência e Natura; Vol. 46 No. esp. 2 (2024): XIII Workshop Brasileiro de Micrometeorologia; e87743
Ciência e Natura; v. 46 n. esp. 2 (2024): XIII Workshop Brasileiro de Micrometeorologia; e87743
2179-460X
0100-8307
reponame:Revista Ciência e Natura (Online)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Revista Ciência e Natura (Online)
collection Revista Ciência e Natura (Online)
repository.name.fl_str_mv Revista Ciência e Natura (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv cienciaenatura@ufsm.br || centraldeperiodicos@ufsm.br
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score 15.228081

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