Comparison of Rain Gauge Network and Weather Radar Data: Case Study in Angra dos Reis, Brazil
This paper presents a comparison between rain gauge network and weather radar data in Angra dos Reis city, located in the State of Rio de Janeiro (RJ), Brazil. The city has a high incidence of natural disasters, especially associated with heavy rains in densely populated areas. In this work, weather...
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MDPI AG
2022-12-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/14/23/3944 |
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| author | Elton John Robaina da Silva Camila Nascimento Alves Priscila Celebrini de Oliveira Campos Raquel Aparecida Abrahão Costa e Oliveira Maria Esther Soares Marques José Carlos Cesar Amorim Igor Paz |
| author_facet | Elton John Robaina da Silva Camila Nascimento Alves Priscila Celebrini de Oliveira Campos Raquel Aparecida Abrahão Costa e Oliveira Maria Esther Soares Marques José Carlos Cesar Amorim Igor Paz |
| author_sort | Elton John Robaina da Silva |
| collection | DOAJ |
| description | This paper presents a comparison between rain gauge network and weather radar data in Angra dos Reis city, located in the State of Rio de Janeiro (RJ), Brazil. The city has a high incidence of natural disasters, especially associated with heavy rains in densely populated areas. In this work, weather radar data with a spatial resolution of 1 km were obtained from dual-polarimetric S-band radar operated by the Environmental State Institute of Rio de Janeiro (INEA), located in the Guaratiba neighborhood in Rio de Janeiro city, Brazil; the rain gauge measurements were provided by the National Center for Monitoring and Warning of Natural Disasters (CEMADEN), which is composed of a network with 30 rain gauges covering the studied area. The comparison between the two datasets enables the analysis of which radar products better fit the rain gauge network’s accumulated rainfall by quantifying the uncertainties in precipitation estimates at radar pixels where rain gauges are located. The results indicated that radar products generated with the help of regression techniques obtained from the relation between radar reflectivities and rain gauge measurements were a better fit, constituting essential information while dealing with efficient regulation for rainfall monitoring and forecasting to minimize the risks associated with extreme events. |
| first_indexed | 2024-03-09T17:28:27Z |
| format | Article |
| id | doaj.art-f2df06c3d92145dfb80863d58cf82842 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-09T17:28:27Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-f2df06c3d92145dfb80863d58cf828422023-11-24T12:33:53ZengMDPI AGWater2073-44412022-12-011423394410.3390/w14233944Comparison of Rain Gauge Network and Weather Radar Data: Case Study in Angra dos Reis, BrazilElton John Robaina da Silva0Camila Nascimento Alves1Priscila Celebrini de Oliveira Campos2Raquel Aparecida Abrahão Costa e Oliveira3Maria Esther Soares Marques4José Carlos Cesar Amorim5Igor Paz6Instituto Militar de Engenharia, Praça General Tibúrcio 80, Praia Vermelha, Rio de Janeiro 22290-270, BrazilInstituto Militar de Engenharia, Praça General Tibúrcio 80, Praia Vermelha, Rio de Janeiro 22290-270, BrazilInstituto Militar de Engenharia, Praça General Tibúrcio 80, Praia Vermelha, Rio de Janeiro 22290-270, BrazilInstituto Militar de Engenharia, Praça General Tibúrcio 80, Praia Vermelha, Rio de Janeiro 22290-270, BrazilInstituto Militar de Engenharia, Praça General Tibúrcio 80, Praia Vermelha, Rio de Janeiro 22290-270, BrazilInstituto Militar de Engenharia, Praça General Tibúrcio 80, Praia Vermelha, Rio de Janeiro 22290-270, BrazilInstituto Militar de Engenharia, Praça General Tibúrcio 80, Praia Vermelha, Rio de Janeiro 22290-270, BrazilThis paper presents a comparison between rain gauge network and weather radar data in Angra dos Reis city, located in the State of Rio de Janeiro (RJ), Brazil. The city has a high incidence of natural disasters, especially associated with heavy rains in densely populated areas. In this work, weather radar data with a spatial resolution of 1 km were obtained from dual-polarimetric S-band radar operated by the Environmental State Institute of Rio de Janeiro (INEA), located in the Guaratiba neighborhood in Rio de Janeiro city, Brazil; the rain gauge measurements were provided by the National Center for Monitoring and Warning of Natural Disasters (CEMADEN), which is composed of a network with 30 rain gauges covering the studied area. The comparison between the two datasets enables the analysis of which radar products better fit the rain gauge network’s accumulated rainfall by quantifying the uncertainties in precipitation estimates at radar pixels where rain gauges are located. The results indicated that radar products generated with the help of regression techniques obtained from the relation between radar reflectivities and rain gauge measurements were a better fit, constituting essential information while dealing with efficient regulation for rainfall monitoring and forecasting to minimize the risks associated with extreme events.https://www.mdpi.com/2073-4441/14/23/3944rain gauge networkspatiotemporal variabilityS-band radarextreme events |
| spellingShingle | Elton John Robaina da Silva Camila Nascimento Alves Priscila Celebrini de Oliveira Campos Raquel Aparecida Abrahão Costa e Oliveira Maria Esther Soares Marques José Carlos Cesar Amorim Igor Paz Comparison of Rain Gauge Network and Weather Radar Data: Case Study in Angra dos Reis, Brazil Water rain gauge network spatiotemporal variability S-band radar extreme events |
| title | Comparison of Rain Gauge Network and Weather Radar Data: Case Study in Angra dos Reis, Brazil |
| title_full | Comparison of Rain Gauge Network and Weather Radar Data: Case Study in Angra dos Reis, Brazil |
| title_fullStr | Comparison of Rain Gauge Network and Weather Radar Data: Case Study in Angra dos Reis, Brazil |
| title_full_unstemmed | Comparison of Rain Gauge Network and Weather Radar Data: Case Study in Angra dos Reis, Brazil |
| title_short | Comparison of Rain Gauge Network and Weather Radar Data: Case Study in Angra dos Reis, Brazil |
| title_sort | comparison of rain gauge network and weather radar data case study in angra dos reis brazil |
| topic | rain gauge network spatiotemporal variability S-band radar extreme events |
| url | https://www.mdpi.com/2073-4441/14/23/3944 |
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