Diferentes técnicas de condicionamento em séries temporais turbulentas
Autor(a) principal: | |
---|---|
Data de Publicação: | 2005 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional Manancial UFSM |
Texto Completo: | http://repositorio.ufsm.br/handle/1/9211 |
Resumo: | The dynamics process of the atmosphere near Earth ground is controled by two main forcings, termical and machanics. These process are reponsible for the atmospheric flow variability in this layer, and this variability characterizes the atmospheric turbulence. The presence of turbulence phenomena drives to distinguish it from the rest of atmosphere, such layer is commom called Atmospheric Boundary Layer (ABL). So, the importance of studying ABL is the fact of that turbulence represents an effective transport process near the ground surface. Adequate treating of the experimental data gives more truthful so qualitative as quantitavie when we are interpreting and understading these transports. This is very impportant for suitable trustful charaterizing the turbulent fluxes. This dissertation shows an overview about some basics turbulent data treatment techics. The dataset, colected experimentaly and separed into 27 minutes window samples, were subjected to simple mean, running mean through digital recursive filter e and linear detrending. Our focus are the implications of applying this technics and how each of this acts in turbulent time series of temperature and vertical velocity of the wind data, showing and discussing about the results in the estimating fluxes of sensible heat by Eddy Covariance method and also spectral densities estimates of temperature and vertical wind velocity. The main goal of the study done in this dissertation, was identifying that applying corrections on fase lag, not considered in older digital recursive filter (FDR as proposed by McMillen 1988) and, present into the model (FFDR proposed by Franceschi e Zardi 2003) leads for trusties estimatives, mainly for turbulent temperature spectra, which are the hardest ones for minimizing the non statinarity effects. Clearly, observing the graphical results of temperature spectra, we see that those low frequencies were better removed than the others technics, giving to spectral shape the classics espected shape. |
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2017-05-082017-05-082005-12-09ZIMERMANN, Hans Rogério. Diferentes técnicas de condicionamento em séries temporais turbulentas. 2005. 86 f. Dissertação (Mestrado em Física) - Universidade Federal de Santa Maria, Santa Maria, 2005.http://repositorio.ufsm.br/handle/1/9211The dynamics process of the atmosphere near Earth ground is controled by two main forcings, termical and machanics. These process are reponsible for the atmospheric flow variability in this layer, and this variability characterizes the atmospheric turbulence. The presence of turbulence phenomena drives to distinguish it from the rest of atmosphere, such layer is commom called Atmospheric Boundary Layer (ABL). So, the importance of studying ABL is the fact of that turbulence represents an effective transport process near the ground surface. Adequate treating of the experimental data gives more truthful so qualitative as quantitavie when we are interpreting and understading these transports. This is very impportant for suitable trustful charaterizing the turbulent fluxes. This dissertation shows an overview about some basics turbulent data treatment techics. The dataset, colected experimentaly and separed into 27 minutes window samples, were subjected to simple mean, running mean through digital recursive filter e and linear detrending. Our focus are the implications of applying this technics and how each of this acts in turbulent time series of temperature and vertical velocity of the wind data, showing and discussing about the results in the estimating fluxes of sensible heat by Eddy Covariance method and also spectral densities estimates of temperature and vertical wind velocity. The main goal of the study done in this dissertation, was identifying that applying corrections on fase lag, not considered in older digital recursive filter (FDR as proposed by McMillen 1988) and, present into the model (FFDR proposed by Franceschi e Zardi 2003) leads for trusties estimatives, mainly for turbulent temperature spectra, which are the hardest ones for minimizing the non statinarity effects. Clearly, observing the graphical results of temperature spectra, we see that those low frequencies were better removed than the others technics, giving to spectral shape the classics espected shape.A dinâmica da atmosfera próxima á superfície é regida por dois forçantes principais, um mecânico e outro térmico. Esses processos são responsáveis pela variabilidade dos escoamentos na baixa atmosfera e, é essa variabilidade que caracteriza a turbulência atmosférica. A presença do fenômeno de turbulência, permite distinguir uma camada do restante da atmosfera, esta é chamada de Camada Limite Atmosférica ( CLA). A importância de estudos nessa camada, está relacionada com o fato da turbulência representar um processo efetivo de transporte próximo à superfície. O tratamento adequado dos dados experimentais permite maior contabilidade, tanto qualitativa quanto quantitativas, na interpretação e entendimento desse transporte, ou seja, é necessário para uma adequada caracterização dos fluxos turbulentos. Nesta dissertação são investigadas algumas, das principais técnicas básicas, no tratamento de dados e condicionamento em séries temporais turbulentas. Os dados, experimentalmente coletados e separados em conjuntos de amostras com 27 minutos, são submetidos aos tratamentos com técnicas de média simples, média instantânea através de filtros digitais recursivos e remoção linear de tendência. Obeserva-se as implicações da aplicação destas técnicas, como cada uma delas age nas séries temporais turbulentas de temperatura e velocidade vertical do vento, apresentando e discutindo os resultados dessa aplicação, nas estimativas dos fluxos turbulentos de calor sensível através do método de Covariância dos Vórtices (MCV), e também das densidades espectrais de temperatura e velocidade vertical. Um dos grandes benefícios do estudo feito nessa dissertação, foi identificar que a correção do atraso de fase, que não era levada em consideração nos modelos de filtros digitais anteriores (FDR proposto por McMillen 1988) e, presente no modelo (FFDR Franceschi e Zardi 2003) conduz à estimativas satisfatórias, principalmente para espectros de temperatura turbulenta, que são os mais difíceis de se minimizar os efeitos de não estacionariedade. Ficou claro, observando nos resultados gráficos dos espectros, que a remoção de baixas freqüências nos espectros de temperatura, os deixou com o perfil típico de especros clássicamente esperados.Conselho Nacional de Desenvolvimento Científico e Tecnológicoapplication/pdfporUniversidade Federal de Santa MariaPrograma de Pós-Graduação em FísicaUFSMBRFísicaCovariância dos vórticesTurbulênciaMicrometeorologiaFiltros digitaisEddy covarianceTurbulenceMicrometeorologyDigital filteringCNPQ::CIENCIAS EXATAS E DA TERRA::FISICADiferentes técnicas de condicionamento em séries temporais turbulentasinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisMoraes, Osvaldo Luiz Leal dehttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4783106P7Goulart, Antonio Gledson de Oliveirahttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4791371J5Acevedo, Otávio Costahttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4796988J8http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4737776H0Zimermann, Hans Rogério100500000006400500500300500890f38b3-51f1-4071-8146-2205917ead15abded063-6692-4606-a204-f8905959dfc2d5d80d78-cf02-4c2c-9eaa-c869a704edacea185db5-1bdf-4651-9915-96f8102d7ee0info:eu-repo/semantics/openAccessreponame:Repositório Institucional Manancial UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALhans 1.pdfapplication/pdf1135781http://repositorio.ufsm.br/bitstream/1/9211/1/hans%201.pdfde49a5a1cc18613d781da136cdedde92MD51hans 2.pdfhans 2.pdfapplication/pdf2087825http://repositorio.ufsm.br/bitstream/1/9211/4/hans%202.pdf289d9952a4fee51b2f57b0f4770dfd89MD54hans 3.pdfhans 3.pdfapplication/pdf2092589http://repositorio.ufsm.br/bitstream/1/9211/5/hans%203.pdf2c8c9c9821bb18d23bc0bb5b1e276944MD55hans 4.pdfhans 4.pdfapplication/pdf1663813http://repositorio.ufsm.br/bitstream/1/9211/6/hans%204.pdf2a6d78d6e49e05e09231f3ceacab0d97MD56TEXThans 1.pdf.txthans 1.pdf.txtExtracted texttext/plain75560http://repositorio.ufsm.br/bitstream/1/9211/2/hans%201.pdf.txtb6470551224d1183370546a6266e702aMD52hans 2.pdf.txthans 2.pdf.txtExtracted texttext/plain2533http://repositorio.ufsm.br/bitstream/1/9211/7/hans%202.pdf.txt3bcf745f505a63460f623535ce9ef40cMD57hans 3.pdf.txthans 3.pdf.txtExtracted texttext/plain13410http://repositorio.ufsm.br/bitstream/1/9211/9/hans%203.pdf.txt0e40a37258aba59cbd407e84aef67badMD59hans 4.pdf.txthans 4.pdf.txtExtracted texttext/plain25825http://repositorio.ufsm.br/bitstream/1/9211/11/hans%204.pdf.txtad8ed858f52ee265e919f2678680b2c1MD511THUMBNAILhans 1.pdf.jpghans 1.pdf.jpgIM Thumbnailimage/jpeg4788http://repositorio.ufsm.br/bitstream/1/9211/3/hans%201.pdf.jpg3d23691ed3ce89c3d13f85867beac7b0MD53hans 2.pdf.jpghans 2.pdf.jpgIM Thumbnailimage/jpeg7919http://repositorio.ufsm.br/bitstream/1/9211/8/hans%202.pdf.jpgdec7e5d0aa3bf84e1b79e7b652a9cc33MD58hans 3.pdf.jpghans 3.pdf.jpgIM Thumbnailimage/jpeg7891http://repositorio.ufsm.br/bitstream/1/9211/10/hans%203.pdf.jpgfe003c16d4fb2d7c02205faf9c66d482MD510hans 4.pdf.jpghans 4.pdf.jpgIM Thumbnailimage/jpeg9088http://repositorio.ufsm.br/bitstream/1/9211/12/hans%204.pdf.jpgd7868c216e4d5429304e396998c3c2b5MD5121/92112017-07-25 11:52:22.403oai:repositorio.ufsm.br:1/9211Repositório Institucionalhttp://repositorio.ufsm.br/PUBhttp://repositorio.ufsm.br/oai/requestouvidoria@ufsm.bropendoar:39132017-07-25T14:52:22Repositório Institucional Manancial UFSM - Universidade Federal de Santa Maria (UFSM)false |
dc.title.por.fl_str_mv |
Diferentes técnicas de condicionamento em séries temporais turbulentas |
title |
Diferentes técnicas de condicionamento em séries temporais turbulentas |
spellingShingle |
Diferentes técnicas de condicionamento em séries temporais turbulentas Zimermann, Hans Rogério Covariância dos vórtices Turbulência Micrometeorologia Filtros digitais Eddy covariance Turbulence Micrometeorology Digital filtering CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA |
title_short |
Diferentes técnicas de condicionamento em séries temporais turbulentas |
title_full |
Diferentes técnicas de condicionamento em séries temporais turbulentas |
title_fullStr |
Diferentes técnicas de condicionamento em séries temporais turbulentas |
title_full_unstemmed |
Diferentes técnicas de condicionamento em séries temporais turbulentas |
title_sort |
Diferentes técnicas de condicionamento em séries temporais turbulentas |
author |
Zimermann, Hans Rogério |
author_facet |
Zimermann, Hans Rogério |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Moraes, Osvaldo Luiz Leal de |
dc.contributor.advisor1Lattes.fl_str_mv |
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4783106P7 |
dc.contributor.referee1.fl_str_mv |
Goulart, Antonio Gledson de Oliveira |
dc.contributor.referee1Lattes.fl_str_mv |
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4791371J5 |
dc.contributor.referee2.fl_str_mv |
Acevedo, Otávio Costa |
dc.contributor.referee2Lattes.fl_str_mv |
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4796988J8 |
dc.contributor.authorLattes.fl_str_mv |
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4737776H0 |
dc.contributor.author.fl_str_mv |
Zimermann, Hans Rogério |
contributor_str_mv |
Moraes, Osvaldo Luiz Leal de Goulart, Antonio Gledson de Oliveira Acevedo, Otávio Costa |
dc.subject.por.fl_str_mv |
Covariância dos vórtices Turbulência Micrometeorologia Filtros digitais |
topic |
Covariância dos vórtices Turbulência Micrometeorologia Filtros digitais Eddy covariance Turbulence Micrometeorology Digital filtering CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA |
dc.subject.eng.fl_str_mv |
Eddy covariance Turbulence Micrometeorology Digital filtering |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA |
description |
The dynamics process of the atmosphere near Earth ground is controled by two main forcings, termical and machanics. These process are reponsible for the atmospheric flow variability in this layer, and this variability characterizes the atmospheric turbulence. The presence of turbulence phenomena drives to distinguish it from the rest of atmosphere, such layer is commom called Atmospheric Boundary Layer (ABL). So, the importance of studying ABL is the fact of that turbulence represents an effective transport process near the ground surface. Adequate treating of the experimental data gives more truthful so qualitative as quantitavie when we are interpreting and understading these transports. This is very impportant for suitable trustful charaterizing the turbulent fluxes. This dissertation shows an overview about some basics turbulent data treatment techics. The dataset, colected experimentaly and separed into 27 minutes window samples, were subjected to simple mean, running mean through digital recursive filter e and linear detrending. Our focus are the implications of applying this technics and how each of this acts in turbulent time series of temperature and vertical velocity of the wind data, showing and discussing about the results in the estimating fluxes of sensible heat by Eddy Covariance method and also spectral densities estimates of temperature and vertical wind velocity. The main goal of the study done in this dissertation, was identifying that applying corrections on fase lag, not considered in older digital recursive filter (FDR as proposed by McMillen 1988) and, present into the model (FFDR proposed by Franceschi e Zardi 2003) leads for trusties estimatives, mainly for turbulent temperature spectra, which are the hardest ones for minimizing the non statinarity effects. Clearly, observing the graphical results of temperature spectra, we see that those low frequencies were better removed than the others technics, giving to spectral shape the classics espected shape. |
publishDate |
2005 |
dc.date.issued.fl_str_mv |
2005-12-09 |
dc.date.accessioned.fl_str_mv |
2017-05-08 |
dc.date.available.fl_str_mv |
2017-05-08 |
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info:eu-repo/semantics/masterThesis |
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ZIMERMANN, Hans Rogério. Diferentes técnicas de condicionamento em séries temporais turbulentas. 2005. 86 f. Dissertação (Mestrado em Física) - Universidade Federal de Santa Maria, Santa Maria, 2005. |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufsm.br/handle/1/9211 |
identifier_str_mv |
ZIMERMANN, Hans Rogério. Diferentes técnicas de condicionamento em séries temporais turbulentas. 2005. 86 f. Dissertação (Mestrado em Física) - Universidade Federal de Santa Maria, Santa Maria, 2005. |
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http://repositorio.ufsm.br/handle/1/9211 |
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Física |
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