Evaluating the latest IMERG products in a subtropical climate : the case of Paraná state, Brazil

Detalhes bibliográficos
Autor(a) principal: Duarte, Sérgio Nascimento
Data de Publicação: 2021
Outros Autores: Ruhoff, Anderson Luis, Neale, Christopher, Nascimento, Jéssica Garcia, Althoff, Daniel, Bazame, Helizani Couto, Gonçalves, Ivo Zution
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/219504
Resumo: The lack of measurement of precipitation in large areas using fine-resolution data is a limitation in water management, particularly in developing countries. However, Version 6 of the Integrated Multi-satellitE Retrievals for GPM (IMERG) has provided a new source of precipitation information with high spatial and temporal resolution. In this study, the performance of the GPM products (Final run) in the state of Paraná, located in the southern region of Brazil, from June 2000 to December 2018 was evaluated. The daily and monthly products of IMERG were compared to the gauge data spatially distributed across the study area. Quantitative and qualitative metrics were used to analyze the performance of IMERG products to detect precipitation events and anomalies. In general, the products performed positively in the estimation of monthly rainfall events, both in volume and spatial distribution, and demonstrated limited performance for daily events and anomalies, mainly in mountainous regions (coast and southwest). This may be related to the orographic rainfall in these regions, associating the intensity of the rain, and the topography. IMERG products can be considered as a source of precipitation data, especially on a monthly scale. Product calibrations are suggested for use on a daily scale and for time-series analysis.
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spelling Duarte, Sérgio NascimentoRuhoff, Anderson LuisNeale, ChristopherNascimento, Jéssica GarciaAlthoff, DanielBazame, Helizani CoutoNeale, ChristopherGonçalves, Ivo Zution2021-04-06T04:20:12Z20212072-4292http://hdl.handle.net/10183/219504001123442The lack of measurement of precipitation in large areas using fine-resolution data is a limitation in water management, particularly in developing countries. However, Version 6 of the Integrated Multi-satellitE Retrievals for GPM (IMERG) has provided a new source of precipitation information with high spatial and temporal resolution. In this study, the performance of the GPM products (Final run) in the state of Paraná, located in the southern region of Brazil, from June 2000 to December 2018 was evaluated. The daily and monthly products of IMERG were compared to the gauge data spatially distributed across the study area. Quantitative and qualitative metrics were used to analyze the performance of IMERG products to detect precipitation events and anomalies. In general, the products performed positively in the estimation of monthly rainfall events, both in volume and spatial distribution, and demonstrated limited performance for daily events and anomalies, mainly in mountainous regions (coast and southwest). This may be related to the orographic rainfall in these regions, associating the intensity of the rain, and the topography. IMERG products can be considered as a source of precipitation data, especially on a monthly scale. Product calibrations are suggested for use on a daily scale and for time-series analysis.application/pdfengRemote Sensing. Basel, Switzerland. Vol. 13, no. 5 (mar. 2021), [Article] 906, 18 f.Precipitação : MediçãoSensoriamento remotoDados pluviométricosParanáRemote sensing in hydrologyPrecipitationPerformance evaluationGPMIMERG (Integrated Multi-satellite Retrievals for GPM)Evaluating the latest IMERG products in a subtropical climate : the case of Paraná state, BrazilEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001123442.pdf.txt001123442.pdf.txtExtracted Texttext/plain69872http://www.lume.ufrgs.br/bitstream/10183/219504/2/001123442.pdf.txt3bbd0a1b2005133c9825564ea7fe1e9cMD52ORIGINAL001123442.pdfTexto completo (inglês)application/pdf5372607http://www.lume.ufrgs.br/bitstream/10183/219504/1/001123442.pdf5cfaffbcf4947f9aa0a9e9f1124b7e8eMD5110183/2195042021-05-07 05:16:47.73452oai:www.lume.ufrgs.br:10183/219504Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2021-05-07T08:16:47Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Evaluating the latest IMERG products in a subtropical climate : the case of Paraná state, Brazil
title Evaluating the latest IMERG products in a subtropical climate : the case of Paraná state, Brazil
spellingShingle Evaluating the latest IMERG products in a subtropical climate : the case of Paraná state, Brazil
Duarte, Sérgio Nascimento
Precipitação : Medição
Sensoriamento remoto
Dados pluviométricos
Paraná
Remote sensing in hydrology
Precipitation
Performance evaluation
GPM
IMERG (Integrated Multi-satellite Retrievals for GPM)
title_short Evaluating the latest IMERG products in a subtropical climate : the case of Paraná state, Brazil
title_full Evaluating the latest IMERG products in a subtropical climate : the case of Paraná state, Brazil
title_fullStr Evaluating the latest IMERG products in a subtropical climate : the case of Paraná state, Brazil
title_full_unstemmed Evaluating the latest IMERG products in a subtropical climate : the case of Paraná state, Brazil
title_sort Evaluating the latest IMERG products in a subtropical climate : the case of Paraná state, Brazil
author Duarte, Sérgio Nascimento
author_facet Duarte, Sérgio Nascimento
Ruhoff, Anderson Luis
Neale, Christopher
Nascimento, Jéssica Garcia
Althoff, Daniel
Bazame, Helizani Couto
Gonçalves, Ivo Zution
author_role author
author2 Ruhoff, Anderson Luis
Neale, Christopher
Nascimento, Jéssica Garcia
Althoff, Daniel
Bazame, Helizani Couto
Gonçalves, Ivo Zution
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Duarte, Sérgio Nascimento
Ruhoff, Anderson Luis
Neale, Christopher
Nascimento, Jéssica Garcia
Althoff, Daniel
Bazame, Helizani Couto
Neale, Christopher
Gonçalves, Ivo Zution
dc.subject.por.fl_str_mv Precipitação : Medição
Sensoriamento remoto
Dados pluviométricos
Paraná
topic Precipitação : Medição
Sensoriamento remoto
Dados pluviométricos
Paraná
Remote sensing in hydrology
Precipitation
Performance evaluation
GPM
IMERG (Integrated Multi-satellite Retrievals for GPM)
dc.subject.eng.fl_str_mv Remote sensing in hydrology
Precipitation
Performance evaluation
GPM
IMERG (Integrated Multi-satellite Retrievals for GPM)
description The lack of measurement of precipitation in large areas using fine-resolution data is a limitation in water management, particularly in developing countries. However, Version 6 of the Integrated Multi-satellitE Retrievals for GPM (IMERG) has provided a new source of precipitation information with high spatial and temporal resolution. In this study, the performance of the GPM products (Final run) in the state of Paraná, located in the southern region of Brazil, from June 2000 to December 2018 was evaluated. The daily and monthly products of IMERG were compared to the gauge data spatially distributed across the study area. Quantitative and qualitative metrics were used to analyze the performance of IMERG products to detect precipitation events and anomalies. In general, the products performed positively in the estimation of monthly rainfall events, both in volume and spatial distribution, and demonstrated limited performance for daily events and anomalies, mainly in mountainous regions (coast and southwest). This may be related to the orographic rainfall in these regions, associating the intensity of the rain, and the topography. IMERG products can be considered as a source of precipitation data, especially on a monthly scale. Product calibrations are suggested for use on a daily scale and for time-series analysis.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-04-06T04:20:12Z
dc.date.issued.fl_str_mv 2021
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dc.language.iso.fl_str_mv eng
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dc.relation.ispartof.pt_BR.fl_str_mv Remote Sensing. Basel, Switzerland. Vol. 13, no. 5 (mar. 2021), [Article] 906, 18 f.
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