Comparison of wind speed data in Northeast Brazil of ERA-40 and National Institute of Meteorology (INMET) using entropy measurements
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/5257 |
Resumo: | Historical wind speed series from the databases of the National Institute of Meteorology (INMET) and ECMWF Re-Analyzes (ERA-40) were analyzed in order to quantify the degree of regularity of the time series and the degree of similarity between the databases of conventional stations (INMET) and reanalysis (ERA-40), using the Sample Entropy and cross-Sample Entropy methods of information theory. Due to the lack of information in the INMET database, the analyzes were carried out over a period of eight years of simultaneous data (1993 to 2000) for the INMET and ERA-40 database, during 00h, 12h and in the Complete / Total (original series). The results show that the largest wind speed records for different series are found in the North of the four sub-regions of the NE. Sample Entropy showed greater regularity of wind speed in the Middle North, an area where wind speed is lower, with better predictability in this area. The cross-Sample Entropy showed a moderate synchronization of the INMET and ERA-40 series, indicating an overestimation or underestimation of the ERA-40 data in relation to the INMET data. |
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Comparison of wind speed data in Northeast Brazil of ERA-40 and National Institute of Meteorology (INMET) using entropy measurementsComparación de datos de velocidad del viento sobre en el noreste de Brasil de ERA-40 e Instituto Nacional de Meteorología (INMET) utilizando mediciones de entropíaComparação dos dados da velocidade do vento no Nordeste do Brasil da ERA-40 e Instituto Nacional de Meteorologia (INMET) utilizando medidas de entropiaNordesteVelocidade do ventoSample entropyCross-sample entropy.NortheastWind speedSample entropyCross-sample entropy.Historical wind speed series from the databases of the National Institute of Meteorology (INMET) and ECMWF Re-Analyzes (ERA-40) were analyzed in order to quantify the degree of regularity of the time series and the degree of similarity between the databases of conventional stations (INMET) and reanalysis (ERA-40), using the Sample Entropy and cross-Sample Entropy methods of information theory. Due to the lack of information in the INMET database, the analyzes were carried out over a period of eight years of simultaneous data (1993 to 2000) for the INMET and ERA-40 database, during 00h, 12h and in the Complete / Total (original series). The results show that the largest wind speed records for different series are found in the North of the four sub-regions of the NE. Sample Entropy showed greater regularity of wind speed in the Middle North, an area where wind speed is lower, with better predictability in this area. The cross-Sample Entropy showed a moderate synchronization of the INMET and ERA-40 series, indicating an overestimation or underestimation of the ERA-40 data in relation to the INMET data.Se analizaron series históricas de la velocidad del viento de las bases de datos del Instituto Nacional de Meteorología (INMET) y Re-Análisis de ECMWF (ERA-40) para cuantificar el grado de regularidad de las series de tiempo y el grado de similitud entre las bases de datos de estaciones convencionales (INMET) y reanálisis (ERA-40), utilizando los métodos de teoría de la información de Entropía de muestra y Entropía de muestra cruzada. Debido a la falta de información en la base de datos INMET, los análisis se llevaron a cabo durante un período de ocho años de datos simultáneos (1993 a 2000) para la base de datos INMET y ERA-40, durante 00h, 12h y en el Completo / Total (serie original). Los resultados muestran que los mayores registros de velocidad del viento para diferentes series se encuentran en el norte de las cuatro subregiones del NE. La muestra de entropía mostró una mayor regularidad de la velocidad del viento en el Medio Norte, un área donde la velocidad del viento es más baja, mostrando una mejor previsibilidad en esta área. La entropía de muestras cruzadas mostró una sincronización moderada de las series INMET y ERA-40, lo que indica una sobreestimación o subestimación de los datos de ERA-40 en relación con los datos de INMET.Séries históricas de velocidade do vento oriundas das bases de dados do Instituto Nacional de Meteorologia (INMET) e ECMWF Re-Analyses (ERA-40) foram analisadas, com a finalidade de quantificar o grau de regularidade da série temporal e o grau de similaridade entre as bases de dados de estações convencionais (INMET) e de reanálise (ERA-40), utilizando os métodos Sample Entropy e cross-Sample Entropy da teoria da informação. Devido à falta de informações na base do INMET, as análises foram realizadas no período de oito anos de dados simultâneos (1993 a 2000) para a base de dados do INMET e da ERA-40, durante às 00h, 12h e na série Completa/Total (série original). Os resultados mostram que os maiores registros de velocidade do vento para diferentes séries encontram-se no Norte das quatro sub-regiões do NE. A Sample Entropy, apresentou maior regularidade da velocidade do vento no Meio Norte, área onde a velocidade do vento é menor, apresentando melhor previsibilidade nesta área. A cross-Sample Entropy mostrou uma sincronização moderada das séries do INMET e ERA-40, indicando uma superestimação ou subestimação dos dados da ERA-40 em relação aos dados do INMET.Research, Society and Development2020-07-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/525710.33448/rsd-v9i8.5257Research, Society and Development; Vol. 9 No. 8; e446985257Research, Society and Development; Vol. 9 Núm. 8; e446985257Research, Society and Development; v. 9 n. 8; e4469852572525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/5257/5028Copyright (c) 2020 Lêda Valéria Ramos Santana, Tatijana Stosic, Tiago Alessandro Espínola Ferreira, Antonio Samuel Alves da Silvainfo:eu-repo/semantics/openAccessSantana, Lêda Valéria RamosStosic, TatijanaFerreira, Tiago Alessandro EspínolaSilva, Antonio Samuel Alves da2020-08-20T18:00:17Zoai:ojs.pkp.sfu.ca:article/5257Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:28:49.858262Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Comparison of wind speed data in Northeast Brazil of ERA-40 and National Institute of Meteorology (INMET) using entropy measurements Comparación de datos de velocidad del viento sobre en el noreste de Brasil de ERA-40 e Instituto Nacional de Meteorología (INMET) utilizando mediciones de entropía Comparação dos dados da velocidade do vento no Nordeste do Brasil da ERA-40 e Instituto Nacional de Meteorologia (INMET) utilizando medidas de entropia |
title |
Comparison of wind speed data in Northeast Brazil of ERA-40 and National Institute of Meteorology (INMET) using entropy measurements |
spellingShingle |
Comparison of wind speed data in Northeast Brazil of ERA-40 and National Institute of Meteorology (INMET) using entropy measurements Santana, Lêda Valéria Ramos Nordeste Velocidade do vento Sample entropy Cross-sample entropy. Northeast Wind speed Sample entropy Cross-sample entropy. |
title_short |
Comparison of wind speed data in Northeast Brazil of ERA-40 and National Institute of Meteorology (INMET) using entropy measurements |
title_full |
Comparison of wind speed data in Northeast Brazil of ERA-40 and National Institute of Meteorology (INMET) using entropy measurements |
title_fullStr |
Comparison of wind speed data in Northeast Brazil of ERA-40 and National Institute of Meteorology (INMET) using entropy measurements |
title_full_unstemmed |
Comparison of wind speed data in Northeast Brazil of ERA-40 and National Institute of Meteorology (INMET) using entropy measurements |
title_sort |
Comparison of wind speed data in Northeast Brazil of ERA-40 and National Institute of Meteorology (INMET) using entropy measurements |
author |
Santana, Lêda Valéria Ramos |
author_facet |
Santana, Lêda Valéria Ramos Stosic, Tatijana Ferreira, Tiago Alessandro Espínola Silva, Antonio Samuel Alves da |
author_role |
author |
author2 |
Stosic, Tatijana Ferreira, Tiago Alessandro Espínola Silva, Antonio Samuel Alves da |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Santana, Lêda Valéria Ramos Stosic, Tatijana Ferreira, Tiago Alessandro Espínola Silva, Antonio Samuel Alves da |
dc.subject.por.fl_str_mv |
Nordeste Velocidade do vento Sample entropy Cross-sample entropy. Northeast Wind speed Sample entropy Cross-sample entropy. |
topic |
Nordeste Velocidade do vento Sample entropy Cross-sample entropy. Northeast Wind speed Sample entropy Cross-sample entropy. |
description |
Historical wind speed series from the databases of the National Institute of Meteorology (INMET) and ECMWF Re-Analyzes (ERA-40) were analyzed in order to quantify the degree of regularity of the time series and the degree of similarity between the databases of conventional stations (INMET) and reanalysis (ERA-40), using the Sample Entropy and cross-Sample Entropy methods of information theory. Due to the lack of information in the INMET database, the analyzes were carried out over a period of eight years of simultaneous data (1993 to 2000) for the INMET and ERA-40 database, during 00h, 12h and in the Complete / Total (original series). The results show that the largest wind speed records for different series are found in the North of the four sub-regions of the NE. Sample Entropy showed greater regularity of wind speed in the Middle North, an area where wind speed is lower, with better predictability in this area. The cross-Sample Entropy showed a moderate synchronization of the INMET and ERA-40 series, indicating an overestimation or underestimation of the ERA-40 data in relation to the INMET data. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-12 |
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://rsdjournal.org/index.php/rsd/article/view/5257 10.33448/rsd-v9i8.5257 |
url |
https://rsdjournal.org/index.php/rsd/article/view/5257 |
identifier_str_mv |
10.33448/rsd-v9i8.5257 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/5257/5028 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 9 No. 8; e446985257 Research, Society and Development; Vol. 9 Núm. 8; e446985257 Research, Society and Development; v. 9 n. 8; e446985257 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052652329107456 |