RAINFALL MONITORING IN URBAN AREAS IN THE AMAZON USING WEATHER RADAR ON THE SIPAMHIDRO PLATFORM
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ra'e Ga (Online) |
Texto Completo: | https://revistas.ufpr.br/raega/article/view/94930 |
Resumo: | Meteorological radar allows the monitoring and prediction in short and very short-term time intervals of storm movement. The objective of this research is to evaluate the weather radar effectiveness for extreme precipitation events forecasting using the SipamHidro rainfall in urban area application. This assessment was carried out considering the storm that occurred in Manaus on March 25, 2023. Observations from pluviometers installed in the urban area of Manaus by CEMADEN and estimated precipitation determined using the TITAN software were used. The evaluation was based on Pearson correlation coefficient, cartographic representations and comparison between observed and predicted. The results show that: a) The event generated more than 135 occurrences of disasters due to extreme rain in the city of Manaus; b) forecasts obtained by radar tend to underestimate observed precipitation by between 31% and 72%, but their spatial distribution is similar; c) the correlations between precipitation obtained by radar and observed precipitation in neighborhoods with rain gauges were from r= 0.59 a r= 0.95, except at the nearby area of the radar; d) the analysis between the predicted and observed times indicates a tendency to adequately anticipate the start of the storm. There were significant correlations between radar data and rain gauges, except in the vicinity of the radar. Despite the lack of precision in extreme rainfall measurements, radar has shown potential as an early forecasting tool, highlighting the importance of its continued development to improve the response to extreme events in urban areas. |
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Ra'e Ga (Online) |
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RAINFALL MONITORING IN URBAN AREAS IN THE AMAZON USING WEATHER RADAR ON THE SIPAMHIDRO PLATFORMGeography, Climatology.Weather Radar; Extreme Precipitation; Radar ForecastingMeteorological radar allows the monitoring and prediction in short and very short-term time intervals of storm movement. The objective of this research is to evaluate the weather radar effectiveness for extreme precipitation events forecasting using the SipamHidro rainfall in urban area application. This assessment was carried out considering the storm that occurred in Manaus on March 25, 2023. Observations from pluviometers installed in the urban area of Manaus by CEMADEN and estimated precipitation determined using the TITAN software were used. The evaluation was based on Pearson correlation coefficient, cartographic representations and comparison between observed and predicted. The results show that: a) The event generated more than 135 occurrences of disasters due to extreme rain in the city of Manaus; b) forecasts obtained by radar tend to underestimate observed precipitation by between 31% and 72%, but their spatial distribution is similar; c) the correlations between precipitation obtained by radar and observed precipitation in neighborhoods with rain gauges were from r= 0.59 a r= 0.95, except at the nearby area of the radar; d) the analysis between the predicted and observed times indicates a tendency to adequately anticipate the start of the storm. There were significant correlations between radar data and rain gauges, except in the vicinity of the radar. Despite the lack of precision in extreme rainfall measurements, radar has shown potential as an early forecasting tool, highlighting the importance of its continued development to improve the response to extreme events in urban areas.UFPRCentro Gestor e Operacional do Sistema de Proteção da Amazônia (CENSIPAM)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPQ).Carvalho Barreto, Cairo EduardoAltieri dos Santos, Flávio AugustoLopes Monteiro, Raquel MacêdoSouza dos Reis, JeanPaulino da Rocha, Edson José2024-04-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/raega/article/view/9493010.5380/raega.v59i0.94930RA'E GA Journal - The Geographic Space in Analysis; v. 59 (2024); 83-101RAEGA - O Espaço Geográfico em Análise; v. 59 (2024); 83-1012177-27381516-413610.5380/raega.v59i0reponame:Ra'e Ga (Online)instname:Universidade Federal do Paraná (UFPR)instacron:UFPRenghttps://revistas.ufpr.br/raega/article/view/94930/51829https://revistas.ufpr.br/raega/article/downloadSuppFile/94930/62082Direitos autorais 2024 RAEGA - O Espaço Geográfico em Análiseinfo:eu-repo/semantics/openAccess2024-04-23T23:06:06Zoai:revistas.ufpr.br:article/94930Revistahttps://revistas.ufpr.br/raegaPUBhttps://revistas.ufpr.br/raega/oai||raega@ufpr.br2177-27382177-2738opendoar:2024-04-23T23:06:06Ra'e Ga (Online) - Universidade Federal do Paraná (UFPR)false |
dc.title.none.fl_str_mv |
RAINFALL MONITORING IN URBAN AREAS IN THE AMAZON USING WEATHER RADAR ON THE SIPAMHIDRO PLATFORM |
title |
RAINFALL MONITORING IN URBAN AREAS IN THE AMAZON USING WEATHER RADAR ON THE SIPAMHIDRO PLATFORM |
spellingShingle |
RAINFALL MONITORING IN URBAN AREAS IN THE AMAZON USING WEATHER RADAR ON THE SIPAMHIDRO PLATFORM Carvalho Barreto, Cairo Eduardo Geography, Climatology. Weather Radar; Extreme Precipitation; Radar Forecasting |
title_short |
RAINFALL MONITORING IN URBAN AREAS IN THE AMAZON USING WEATHER RADAR ON THE SIPAMHIDRO PLATFORM |
title_full |
RAINFALL MONITORING IN URBAN AREAS IN THE AMAZON USING WEATHER RADAR ON THE SIPAMHIDRO PLATFORM |
title_fullStr |
RAINFALL MONITORING IN URBAN AREAS IN THE AMAZON USING WEATHER RADAR ON THE SIPAMHIDRO PLATFORM |
title_full_unstemmed |
RAINFALL MONITORING IN URBAN AREAS IN THE AMAZON USING WEATHER RADAR ON THE SIPAMHIDRO PLATFORM |
title_sort |
RAINFALL MONITORING IN URBAN AREAS IN THE AMAZON USING WEATHER RADAR ON THE SIPAMHIDRO PLATFORM |
author |
Carvalho Barreto, Cairo Eduardo |
author_facet |
Carvalho Barreto, Cairo Eduardo Altieri dos Santos, Flávio Augusto Lopes Monteiro, Raquel Macêdo Souza dos Reis, Jean Paulino da Rocha, Edson José |
author_role |
author |
author2 |
Altieri dos Santos, Flávio Augusto Lopes Monteiro, Raquel Macêdo Souza dos Reis, Jean Paulino da Rocha, Edson José |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Centro Gestor e Operacional do Sistema de Proteção da Amazônia (CENSIPAM) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPQ). |
dc.contributor.author.fl_str_mv |
Carvalho Barreto, Cairo Eduardo Altieri dos Santos, Flávio Augusto Lopes Monteiro, Raquel Macêdo Souza dos Reis, Jean Paulino da Rocha, Edson José |
dc.subject.por.fl_str_mv |
Geography, Climatology. Weather Radar; Extreme Precipitation; Radar Forecasting |
topic |
Geography, Climatology. Weather Radar; Extreme Precipitation; Radar Forecasting |
description |
Meteorological radar allows the monitoring and prediction in short and very short-term time intervals of storm movement. The objective of this research is to evaluate the weather radar effectiveness for extreme precipitation events forecasting using the SipamHidro rainfall in urban area application. This assessment was carried out considering the storm that occurred in Manaus on March 25, 2023. Observations from pluviometers installed in the urban area of Manaus by CEMADEN and estimated precipitation determined using the TITAN software were used. The evaluation was based on Pearson correlation coefficient, cartographic representations and comparison between observed and predicted. The results show that: a) The event generated more than 135 occurrences of disasters due to extreme rain in the city of Manaus; b) forecasts obtained by radar tend to underestimate observed precipitation by between 31% and 72%, but their spatial distribution is similar; c) the correlations between precipitation obtained by radar and observed precipitation in neighborhoods with rain gauges were from r= 0.59 a r= 0.95, except at the nearby area of the radar; d) the analysis between the predicted and observed times indicates a tendency to adequately anticipate the start of the storm. There were significant correlations between radar data and rain gauges, except in the vicinity of the radar. Despite the lack of precision in extreme rainfall measurements, radar has shown potential as an early forecasting tool, highlighting the importance of its continued development to improve the response to extreme events in urban areas. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-04-23 |
dc.type.none.fl_str_mv |
|
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://revistas.ufpr.br/raega/article/view/94930 10.5380/raega.v59i0.94930 |
url |
https://revistas.ufpr.br/raega/article/view/94930 |
identifier_str_mv |
10.5380/raega.v59i0.94930 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.ufpr.br/raega/article/view/94930/51829 https://revistas.ufpr.br/raega/article/downloadSuppFile/94930/62082 |
dc.rights.driver.fl_str_mv |
Direitos autorais 2024 RAEGA - O Espaço Geográfico em Análise info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos autorais 2024 RAEGA - O Espaço Geográfico em Análise |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UFPR |
publisher.none.fl_str_mv |
UFPR |
dc.source.none.fl_str_mv |
RA'E GA Journal - The Geographic Space in Analysis; v. 59 (2024); 83-101 RAEGA - O Espaço Geográfico em Análise; v. 59 (2024); 83-101 2177-2738 1516-4136 10.5380/raega.v59i0 reponame:Ra'e Ga (Online) instname:Universidade Federal do Paraná (UFPR) instacron:UFPR |
instname_str |
Universidade Federal do Paraná (UFPR) |
instacron_str |
UFPR |
institution |
UFPR |
reponame_str |
Ra'e Ga (Online) |
collection |
Ra'e Ga (Online) |
repository.name.fl_str_mv |
Ra'e Ga (Online) - Universidade Federal do Paraná (UFPR) |
repository.mail.fl_str_mv |
||raega@ufpr.br |
_version_ |
1799712042952687616 |