Impacto da parametrização de microfísica de nuvens na simulação de um evento de precipitação extrema
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional Manancial UFSM |
Texto Completo: | http://repositorio.ufsm.br/handle/1/30430 |
Resumo: | The present work aims to analyze the impact of different parameterizations of cloud microphysics together with the impact of topography on the performance of the regional model "Weather Research and Forecast" (WRF) in an extreme precipitation event which occurred in Petrópolis , in the state of Rio de Janeiro on February 15, 2022. Four simulations were performed using the microphysics parameterizations WRF Single-Moment 6-Class (WSM6) and WRF Double-Moment 6-Class (WD6M) and also varying The topographical parameters of the region are used, with the simulations starting at 00 UTC on 02/14/2022, prioritizing a spin-up day for the model, ending at 00 UTC on 16/ 02/2022 right after the end of the event. In the simulations, three nested domains were used, with the mother grid measuring 4.5km and the two nested grids measuring 1.5km and 500 m respectively, representing the second and third domains. As a secondary objective, the use of the variation of the vertical levels applied to the model was evaluated in order to observe variations in the presented results. In order to evaluate the data presented by the model, data from rainfall stations, located in the city of Petrópolis, from the National Center for Monitoring and Natural Disaster Alerts (CEMADEN) were used in order to analyze and quantify the model representation. In general, the simulations, observing the location of Petrópolis, showed an underestimation in relation to the accumulated precipitation, which may indicate a difficulty for the model to represent the precipitation data effectively and punctually. In comparison between the parameterizations, the WS6M was able to effectively present expressive accumulations throughout the event period, even displaced from the region, while the simulations that made use of WD6M presented accumulations below expectations. This situation can be explained by the sensitivity which the double moment parameterization has in relation to condensation nuclei (NdC’s). In the topographical scope, the refinement of the same did not show improvements in relation to the default topography of the model. When analyzing the variation of the vertical levels of the model, an improvement in the quantitative representation of the precipitation for the event itself was observed when the WS6M parameterization was used, while in the simulations that made use of the WD6M it was not observed impacts relevant to the event. |
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2023-11-06T18:24:42Z2023-11-06T18:24:42Z2023-07-17http://repositorio.ufsm.br/handle/1/30430The present work aims to analyze the impact of different parameterizations of cloud microphysics together with the impact of topography on the performance of the regional model "Weather Research and Forecast" (WRF) in an extreme precipitation event which occurred in Petrópolis , in the state of Rio de Janeiro on February 15, 2022. Four simulations were performed using the microphysics parameterizations WRF Single-Moment 6-Class (WSM6) and WRF Double-Moment 6-Class (WD6M) and also varying The topographical parameters of the region are used, with the simulations starting at 00 UTC on 02/14/2022, prioritizing a spin-up day for the model, ending at 00 UTC on 16/ 02/2022 right after the end of the event. In the simulations, three nested domains were used, with the mother grid measuring 4.5km and the two nested grids measuring 1.5km and 500 m respectively, representing the second and third domains. As a secondary objective, the use of the variation of the vertical levels applied to the model was evaluated in order to observe variations in the presented results. In order to evaluate the data presented by the model, data from rainfall stations, located in the city of Petrópolis, from the National Center for Monitoring and Natural Disaster Alerts (CEMADEN) were used in order to analyze and quantify the model representation. In general, the simulations, observing the location of Petrópolis, showed an underestimation in relation to the accumulated precipitation, which may indicate a difficulty for the model to represent the precipitation data effectively and punctually. In comparison between the parameterizations, the WS6M was able to effectively present expressive accumulations throughout the event period, even displaced from the region, while the simulations that made use of WD6M presented accumulations below expectations. This situation can be explained by the sensitivity which the double moment parameterization has in relation to condensation nuclei (NdC’s). In the topographical scope, the refinement of the same did not show improvements in relation to the default topography of the model. When analyzing the variation of the vertical levels of the model, an improvement in the quantitative representation of the precipitation for the event itself was observed when the WS6M parameterization was used, while in the simulations that made use of the WD6M it was not observed impacts relevant to the event.O presente trabalho tem como objetivo a análise do impacto de diferentes parametrizações de microfísica de nuvens juntamente com o impacto da topografia no desempeneho do modelo regional "Weather Research and Forecast" (WRF) em um evento de precipitação extrema o qual teve sua ocorrência em Petrópolis, no estado do Rio de Janeiro no dia 15 de fevereiro de 2022. Foram realizadas quatro simulações fazendo o uso das parametrizações de microfísica WRF Single-Moment 6-Class (WSM6) e WRF Double-Moment 6-Class (WD6M) e também variando-se os parâmetros topográficos da região, com as simulações tendo seu início às 00 UTC do dia 14/02/2022, priorizando um dia de spin-up para o modelo, tendo seu fim às 00 UTC do dia 16/02/2022 logo após o fim do evento. Nas simulações, foi-se empregado três domínios aninhados, tendo a grade mâe com 4.5km e as duas grades aninhadas de 1.5km e 500 m respectivamentes representando os segundo e terceiro domínios. Como objetivo secundário, avaliou-se o uso da variação dos níveis verticais aplicados ao modelo com o intuito de observar variações nos resultados apresentados. A fim de se avaliar os dados apresentados pelo modelo, usou-se os dados das estações pluviométricas do Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN) localizadas na cidade de Petrópolis a fim de analisar e quantificar a representação do modelo. De maneira geral as simulações, observando a localização de Petrópolis, apresentaram uma subestimativa em relação aos acumulados de precipitação, podendo indicar uma dificuldade do modelo em representar de maneira efetiva e pontual os dados de precipitação. Em comparação entre as parametrizações, a WS6M conseguiu de maneira efetiva apresentar acumulados expressivos ao longo do período do evento, mesmo deslocados da região enquanto as simulações que fizeram uso de WD6M apresentaram acumulados abaixo do esperado. Tal situação pode ser explicada pela sensibilidade a qual a parametrização de momento duplo tem em relação aos núcleos de condensação (NdC’s). No âmbito topográfico, o refinamento da mesma não apresentou melhoras em relação a topografia default do modelo. Quando analisa-se a variação dos níveis verticais do modelo, observou-se uma melhora na representação quantitativa da precipitação para o evento em si quando fez-se o uso da parametrização WS6M, enquanto nas simulações que fizeram o uso da WD6M não observou-se impactos relevantes para o evento.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESporUniversidade Federal de Santa MariaCentro de Ciências Naturais e ExatasPrograma de Pós-Graduação em MeteorologiaUFSMBrasilMeteorologiaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessWRFPrecipitaçãoMicrofísicaWS6MWD6MTopografiaPetrópolisPrecipitationMicrophysicsTopographyCNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::METEOROLOGIAImpacto da parametrização de microfísica de nuvens na simulação de um evento de precipitação extremaImpact of cloud microphysics parameterizations in a extreme raining eventinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisPuhales, Franciano Screminhttp://lattes.cnpq.br/7752837354645381Nascimento, Ernani de LimaDal Piva, EversonOliveira, Maurício Ilha dehttp://lattes.cnpq.br/7015499888845048Bem, Douglas Lima de100700300004600600600600600600bfe1629b-258d-4913-a676-7b38e571a04babb16aa8-1d87-4f04-a417-44974d9c9f2b8ae9c271-c6f9-41ba-830c-c83f30976d44f45c3585-8c2d-419c-a1ca-a169845c8c3a23d9beba-5f89-495c-9e57-8f86c5bf4332reponame:Repositório Institucional Manancial UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALDIS_PPGMETEOROLOGIA_2023_BEM_DOUGLAS.pdfDIS_PPGMETEOROLOGIA_2023_BEM_DOUGLAS.pdfDissertação de mestradoapplication/pdf104068331http://repositorio.ufsm.br/bitstream/1/30430/1/DIS_PPGMETEOROLOGIA_2023_BEM_DOUGLAS.pdf637da8d9ad72dbad80f79e0118c48062MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.por.fl_str_mv |
Impacto da parametrização de microfísica de nuvens na simulação de um evento de precipitação extrema |
dc.title.alternative.eng.fl_str_mv |
Impact of cloud microphysics parameterizations in a extreme raining event |
title |
Impacto da parametrização de microfísica de nuvens na simulação de um evento de precipitação extrema |
spellingShingle |
Impacto da parametrização de microfísica de nuvens na simulação de um evento de precipitação extrema Bem, Douglas Lima de WRF Precipitação Microfísica WS6M WD6M Topografia Petrópolis Precipitation Microphysics Topography CNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::METEOROLOGIA |
title_short |
Impacto da parametrização de microfísica de nuvens na simulação de um evento de precipitação extrema |
title_full |
Impacto da parametrização de microfísica de nuvens na simulação de um evento de precipitação extrema |
title_fullStr |
Impacto da parametrização de microfísica de nuvens na simulação de um evento de precipitação extrema |
title_full_unstemmed |
Impacto da parametrização de microfísica de nuvens na simulação de um evento de precipitação extrema |
title_sort |
Impacto da parametrização de microfísica de nuvens na simulação de um evento de precipitação extrema |
author |
Bem, Douglas Lima de |
author_facet |
Bem, Douglas Lima de |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Puhales, Franciano Scremin |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/7752837354645381 |
dc.contributor.advisor-co1.fl_str_mv |
Nascimento, Ernani de Lima |
dc.contributor.referee1.fl_str_mv |
Dal Piva, Everson |
dc.contributor.referee2.fl_str_mv |
Oliveira, Maurício Ilha de |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/7015499888845048 |
dc.contributor.author.fl_str_mv |
Bem, Douglas Lima de |
contributor_str_mv |
Puhales, Franciano Scremin Nascimento, Ernani de Lima Dal Piva, Everson Oliveira, Maurício Ilha de |
dc.subject.por.fl_str_mv |
WRF Precipitação Microfísica WS6M WD6M Topografia Petrópolis |
topic |
WRF Precipitação Microfísica WS6M WD6M Topografia Petrópolis Precipitation Microphysics Topography CNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::METEOROLOGIA |
dc.subject.eng.fl_str_mv |
Precipitation Microphysics Topography |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::METEOROLOGIA |
description |
The present work aims to analyze the impact of different parameterizations of cloud microphysics together with the impact of topography on the performance of the regional model "Weather Research and Forecast" (WRF) in an extreme precipitation event which occurred in Petrópolis , in the state of Rio de Janeiro on February 15, 2022. Four simulations were performed using the microphysics parameterizations WRF Single-Moment 6-Class (WSM6) and WRF Double-Moment 6-Class (WD6M) and also varying The topographical parameters of the region are used, with the simulations starting at 00 UTC on 02/14/2022, prioritizing a spin-up day for the model, ending at 00 UTC on 16/ 02/2022 right after the end of the event. In the simulations, three nested domains were used, with the mother grid measuring 4.5km and the two nested grids measuring 1.5km and 500 m respectively, representing the second and third domains. As a secondary objective, the use of the variation of the vertical levels applied to the model was evaluated in order to observe variations in the presented results. In order to evaluate the data presented by the model, data from rainfall stations, located in the city of Petrópolis, from the National Center for Monitoring and Natural Disaster Alerts (CEMADEN) were used in order to analyze and quantify the model representation. In general, the simulations, observing the location of Petrópolis, showed an underestimation in relation to the accumulated precipitation, which may indicate a difficulty for the model to represent the precipitation data effectively and punctually. In comparison between the parameterizations, the WS6M was able to effectively present expressive accumulations throughout the event period, even displaced from the region, while the simulations that made use of WD6M presented accumulations below expectations. This situation can be explained by the sensitivity which the double moment parameterization has in relation to condensation nuclei (NdC’s). In the topographical scope, the refinement of the same did not show improvements in relation to the default topography of the model. When analyzing the variation of the vertical levels of the model, an improvement in the quantitative representation of the precipitation for the event itself was observed when the WS6M parameterization was used, while in the simulations that made use of the WD6M it was not observed impacts relevant to the event. |
publishDate |
2023 |
dc.date.accessioned.fl_str_mv |
2023-11-06T18:24:42Z |
dc.date.available.fl_str_mv |
2023-11-06T18:24:42Z |
dc.date.issued.fl_str_mv |
2023-07-17 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufsm.br/handle/1/30430 |
url |
http://repositorio.ufsm.br/handle/1/30430 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.cnpq.fl_str_mv |
100700300004 |
dc.relation.confidence.fl_str_mv |
600 600 600 600 600 600 |
dc.relation.authority.fl_str_mv |
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dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria Centro de Ciências Naturais e Exatas |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Meteorologia |
dc.publisher.initials.fl_str_mv |
UFSM |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Meteorologia |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria Centro de Ciências Naturais e Exatas |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional Manancial UFSM instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
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