Evaluation of weather radar rainfall estimation for nowcasting
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Publication Date: | 2018 |
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Format: | Article |
Language: | por |
Source: | Revista Ciência e Natura (Online) |
Download full: | https://periodicos.ufsm.br/cienciaenatura/article/view/29995 |
Summary: | This article presents the first evaluation of the method used by the Brazilian Centre for Monitoring and Early Warning of Natural Disasters for the short term forecast (nowcasting) of precipitation by weather radar. In this evaluation, four cases of intense rainfall in the radius of Pico do Couto radar were studied, giving the flood risk alerts sent for the municipality of Nova Friburgo, in the state of Rio de Janeiro. In relation to rain gauge data, a median under rate of 43% for the radar precipitation was observed when using the SRI (Surface Rainfall Intensity) method. After the rainfall correction, the cross-correlation extrapolation method was evaluated for the 30, 60, 90 and 120 minute forecast horizons, with accumulated precipitation every 30 minutes. The probabilities of detection (POD) obtained higher values for lower rainfall thresholds (at least 1 or 5 mm of accumulated rainfall) when compared to larger amount accumulated (20 and 30 mm). The spatial and temporal series of rainfall presented higher errors (MAE and RMSE) for 90 and 120 minutes of forecast. For all the events, an overestimate (PBIAS positive) of the predictions was observed in relation to the observed radar rain field itself. |
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Evaluation of weather radar rainfall estimation for nowcastingAvaliação da chuva prevista em curto prazo por radar meteorológicoNowcastingHydrometeorolog. Rainfall estimationPrecipitationRemote sensingNowcastingHidrometeorologiaEstimativa de chuvaPrecipitaçãoSensoriamento remotoThis article presents the first evaluation of the method used by the Brazilian Centre for Monitoring and Early Warning of Natural Disasters for the short term forecast (nowcasting) of precipitation by weather radar. In this evaluation, four cases of intense rainfall in the radius of Pico do Couto radar were studied, giving the flood risk alerts sent for the municipality of Nova Friburgo, in the state of Rio de Janeiro. In relation to rain gauge data, a median under rate of 43% for the radar precipitation was observed when using the SRI (Surface Rainfall Intensity) method. After the rainfall correction, the cross-correlation extrapolation method was evaluated for the 30, 60, 90 and 120 minute forecast horizons, with accumulated precipitation every 30 minutes. The probabilities of detection (POD) obtained higher values for lower rainfall thresholds (at least 1 or 5 mm of accumulated rainfall) when compared to larger amount accumulated (20 and 30 mm). The spatial and temporal series of rainfall presented higher errors (MAE and RMSE) for 90 and 120 minutes of forecast. For all the events, an overestimate (PBIAS positive) of the predictions was observed in relation to the observed radar rain field itself.Este artigo traz a primeira avaliação do método utilizado pelo Centro Nacional de Monitoramento e Alerta de Desastres Naturaispara os prognósticos em curto prazo da precipitação por radares meteorológicos. Nesta avaliação foram estudados quatro casosde chuva intensa no raio de cobertura do radar Pico do Couto, que originaram alertas de risco para o município de nova Friburgo,no estado do Rio de Janeiro. Em relação aos dados pluviométricos in situ, foi observada uma subestimativa mediana de 43% daprecipitação pelo radar ao utilizar o método SRI (Surface Rainfall Intensity). Após a correção dos campos de chuva, a metodologiapara extrapolação por cross-correlation (correlação cruzada) foi avaliada para os horizontes de previsão de 30, 60, 90 e 120minutos, com a precipitação acumulada a cada 30 minutos. As probabilidades de detecção (POD) obtiveram maiores valores paralimiares de chuva mais baixos (pelo menos 1 ou 5 mm de chuva acumulada) ao comparado com acumulados de chuva maiores(20 e 30 mm), como observado em estudos anteriores. Da mesma forma, as séries espaciais e temporais de chuva apresentarammaiores erros (MAE e RMSE) para os prognósticos de 90 e 120 minutos de previsão. Em todos os eventos foi observada umasuperestimativa (PBIAS positivo) média das previsões em relação ao próprio campo observado de chuva do radar.Universidade Federal de Santa Maria2018-03-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaenatura/article/view/2999510.5902/2179460X29995Ciência e Natura; CIÊNCIA E NATURA, V. 40, 2018; e42Ciência e Natura; CIÊNCIA E NATURA, V. 40, 2018; e422179-460X0100-8307reponame:Revista Ciência e Natura (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaenatura/article/view/29995/pdfCopyright (c) 2018 Ciência e Naturainfo:eu-repo/semantics/openAccessBacelar, Luiz Carlos Salgueiro DonatoAngelis, Carlos Frederico de2020-04-22T18:02:35Zoai:ojs.pkp.sfu.ca:article/29995Revistahttps://periodicos.ufsm.br/cienciaenatura/indexPUBhttps://periodicos.ufsm.br/cienciaenatura/oaicienciaenatura@ufsm.br || centraldeperiodicos@ufsm.br2179-460X0100-8307opendoar:2020-04-22T18:02:35Revista Ciência e Natura (Online) - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
Evaluation of weather radar rainfall estimation for nowcasting Avaliação da chuva prevista em curto prazo por radar meteorológico |
title |
Evaluation of weather radar rainfall estimation for nowcasting |
spellingShingle |
Evaluation of weather radar rainfall estimation for nowcasting Bacelar, Luiz Carlos Salgueiro Donato Nowcasting Hydrometeorolog . Rainfall estimation Precipitation Remote sensing Nowcasting Hidrometeorologia Estimativa de chuva Precipitação Sensoriamento remoto |
title_short |
Evaluation of weather radar rainfall estimation for nowcasting |
title_full |
Evaluation of weather radar rainfall estimation for nowcasting |
title_fullStr |
Evaluation of weather radar rainfall estimation for nowcasting |
title_full_unstemmed |
Evaluation of weather radar rainfall estimation for nowcasting |
title_sort |
Evaluation of weather radar rainfall estimation for nowcasting |
author |
Bacelar, Luiz Carlos Salgueiro Donato |
author_facet |
Bacelar, Luiz Carlos Salgueiro Donato Angelis, Carlos Frederico de |
author_role |
author |
author2 |
Angelis, Carlos Frederico de |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Bacelar, Luiz Carlos Salgueiro Donato Angelis, Carlos Frederico de |
dc.subject.por.fl_str_mv |
Nowcasting Hydrometeorolog . Rainfall estimation Precipitation Remote sensing Nowcasting Hidrometeorologia Estimativa de chuva Precipitação Sensoriamento remoto |
topic |
Nowcasting Hydrometeorolog . Rainfall estimation Precipitation Remote sensing Nowcasting Hidrometeorologia Estimativa de chuva Precipitação Sensoriamento remoto |
description |
This article presents the first evaluation of the method used by the Brazilian Centre for Monitoring and Early Warning of Natural Disasters for the short term forecast (nowcasting) of precipitation by weather radar. In this evaluation, four cases of intense rainfall in the radius of Pico do Couto radar were studied, giving the flood risk alerts sent for the municipality of Nova Friburgo, in the state of Rio de Janeiro. In relation to rain gauge data, a median under rate of 43% for the radar precipitation was observed when using the SRI (Surface Rainfall Intensity) method. After the rainfall correction, the cross-correlation extrapolation method was evaluated for the 30, 60, 90 and 120 minute forecast horizons, with accumulated precipitation every 30 minutes. The probabilities of detection (POD) obtained higher values for lower rainfall thresholds (at least 1 or 5 mm of accumulated rainfall) when compared to larger amount accumulated (20 and 30 mm). The spatial and temporal series of rainfall presented higher errors (MAE and RMSE) for 90 and 120 minutes of forecast. For all the events, an overestimate (PBIAS positive) of the predictions was observed in relation to the observed radar rain field itself. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-03-27 |
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/29995 10.5902/2179460X29995 |
url |
https://periodicos.ufsm.br/cienciaenatura/article/view/29995 |
identifier_str_mv |
10.5902/2179460X29995 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/cienciaenatura/article/view/29995/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Ciência e Natura info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 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; CIÊNCIA E NATURA, V. 40, 2018; e42 Ciência e Natura; CIÊNCIA E NATURA, V. 40, 2018; e42 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 |
_version_ |
1839277883526217728 |