Evaluation of TRMM satellite rainfall estimates (algorithms 3B42 V7 and RT) over the Santo Antônio county (Goiás, Brazil)
The rainfall has a direct influence on the agricultural productivity, being indispensable the knowledge of its spatiotemporal behavior in order to establish trends that will assist in the management of water resources, agricultural planning, hydrological monitoring and prevention of natural disaster...
- Autores:
-
Quirino, Dayanna Teodoro
Casaroli, Derblai
Jucá Oliveira, Rômulo Augusto
Mesquita, Márcio
Pego Evangelista, Adão Wagner
Alves Júnior, José
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2017
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/65972
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/65972
http://bdigital.unal.edu.co/66995/
- Palabra clave:
- 63 Agricultura y tecnologías relacionadas / Agriculture
Precipitación
sensoriamento remoto
exactitud
TRMM
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Quirino, Dayanna Teodoro3f4c50ae-61fb-4680-9a83-e1be2155c36a300Casaroli, Derblaic493be21-130d-40a9-af2d-9fd504d4b2be300Jucá Oliveira, Rômulo Augustoc466b5c0-f8dc-4a82-b26b-2cc35ea3ed22300Mesquita, Márcioc1044b6e-9f8d-4e66-afe7-4d2f165cb7a1300Pego Evangelista, Adão Wagner31ab5ceb-fa7d-4adf-8cf9-bcb76f344d1d300Alves Júnior, José288416fc-0e81-464b-9c1a-50131a146b643002019-07-03T01:15:15Z2019-07-03T01:15:15Z2017-09-01ISSN: 2248-7026https://repositorio.unal.edu.co/handle/unal/65972http://bdigital.unal.edu.co/66995/The rainfall has a direct influence on the agricultural productivity, being indispensable the knowledge of its spatiotemporal behavior in order to establish trends that will assist in the management of water resources, agricultural planning, hydrological monitoring and prevention of natural disasters. Thus, this work aimed to evaluate the accuracy of the TRMM satellite precipitation estimates in relation to the recorded precipitation. For this, the rainfall data from the weather station located in the municipality of Santo Antônio de Goiás - GO were used, being compared to the data of the TRMM satellite, algorithms 3B42 Version 7 and Real Time, in the period from January 1998 to October 2015. The comparison of the TRMM satellite data showed that the ten-day and monthly precipitation records of the algorithm 3B42 V_7 showed correlation values of 0.69 and 0.65, respectively, in the rainy season; in the dry season, the correlations were of 0.80 and 0.73. The ten-day concordance index ranged from 0.68 to 0.98 and the monthly concordance index ranged from 0.83 to 0.99. The algorithm 3B42 Real Time presented lower statistical results when compared to the 3B42 V_7. The satellite precipitation estimates showed both trends of overestimation and underestimation; however, the satellite data can help research in the absence of information on the rainfall in the region.application/pdfspaUniversidad Nacional de Colombia - Sede Medellín - Facultad de Ciencias Agrariashttps://revistas.unal.edu.co/index.php/refame/article/view/61805Universidad Nacional de Colombia Revistas electrónicas UN Revista Facultad Nacional de Agronomía MedellínRevista Facultad Nacional de Agronomía MedellínQuirino, Dayanna Teodoro and Casaroli, Derblai and Jucá Oliveira, Rômulo Augusto and Mesquita, Márcio and Pego Evangelista, Adão Wagner and Alves Júnior, José (2017) Evaluation of TRMM satellite rainfall estimates (algorithms 3B42 V7 and RT) over the Santo Antônio county (Goiás, Brazil). Revista Facultad Nacional de Agronomía Medellín, 70 (3). pp. 8251-8261. ISSN 2248-702663 Agricultura y tecnologías relacionadas / AgriculturePrecipitaciónsensoriamento remotoexactitudTRMMEvaluation of TRMM satellite rainfall estimates (algorithms 3B42 V7 and RT) over the Santo Antônio county (Goiás, Brazil)Artículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL61805-347844-2-PB.pdfapplication/pdf307921https://repositorio.unal.edu.co/bitstream/unal/65972/1/61805-347844-2-PB.pdf59308526079a5dda9789e20dae0a1906MD51THUMBNAIL61805-347844-2-PB.pdf.jpg61805-347844-2-PB.pdf.jpgGenerated Thumbnailimage/jpeg8370https://repositorio.unal.edu.co/bitstream/unal/65972/2/61805-347844-2-PB.pdf.jpgc3fe10efa839dcfd70a309d55bbd512aMD52unal/65972oai:repositorio.unal.edu.co:unal/659722024-05-13 23:08:53.11Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |
| dc.title.spa.fl_str_mv |
Evaluation of TRMM satellite rainfall estimates (algorithms 3B42 V7 and RT) over the Santo Antônio county (Goiás, Brazil) |
| title |
Evaluation of TRMM satellite rainfall estimates (algorithms 3B42 V7 and RT) over the Santo Antônio county (Goiás, Brazil) |
| spellingShingle |
Evaluation of TRMM satellite rainfall estimates (algorithms 3B42 V7 and RT) over the Santo Antônio county (Goiás, Brazil) 63 Agricultura y tecnologías relacionadas / Agriculture Precipitación sensoriamento remoto exactitud TRMM |
| title_short |
Evaluation of TRMM satellite rainfall estimates (algorithms 3B42 V7 and RT) over the Santo Antônio county (Goiás, Brazil) |
| title_full |
Evaluation of TRMM satellite rainfall estimates (algorithms 3B42 V7 and RT) over the Santo Antônio county (Goiás, Brazil) |
| title_fullStr |
Evaluation of TRMM satellite rainfall estimates (algorithms 3B42 V7 and RT) over the Santo Antônio county (Goiás, Brazil) |
| title_full_unstemmed |
Evaluation of TRMM satellite rainfall estimates (algorithms 3B42 V7 and RT) over the Santo Antônio county (Goiás, Brazil) |
| title_sort |
Evaluation of TRMM satellite rainfall estimates (algorithms 3B42 V7 and RT) over the Santo Antônio county (Goiás, Brazil) |
| dc.creator.fl_str_mv |
Quirino, Dayanna Teodoro Casaroli, Derblai Jucá Oliveira, Rômulo Augusto Mesquita, Márcio Pego Evangelista, Adão Wagner Alves Júnior, José |
| dc.contributor.author.spa.fl_str_mv |
Quirino, Dayanna Teodoro Casaroli, Derblai Jucá Oliveira, Rômulo Augusto Mesquita, Márcio Pego Evangelista, Adão Wagner Alves Júnior, José |
| dc.subject.ddc.spa.fl_str_mv |
63 Agricultura y tecnologías relacionadas / Agriculture |
| topic |
63 Agricultura y tecnologías relacionadas / Agriculture Precipitación sensoriamento remoto exactitud TRMM |
| dc.subject.proposal.spa.fl_str_mv |
Precipitación sensoriamento remoto exactitud TRMM |
| description |
The rainfall has a direct influence on the agricultural productivity, being indispensable the knowledge of its spatiotemporal behavior in order to establish trends that will assist in the management of water resources, agricultural planning, hydrological monitoring and prevention of natural disasters. Thus, this work aimed to evaluate the accuracy of the TRMM satellite precipitation estimates in relation to the recorded precipitation. For this, the rainfall data from the weather station located in the municipality of Santo Antônio de Goiás - GO were used, being compared to the data of the TRMM satellite, algorithms 3B42 Version 7 and Real Time, in the period from January 1998 to October 2015. The comparison of the TRMM satellite data showed that the ten-day and monthly precipitation records of the algorithm 3B42 V_7 showed correlation values of 0.69 and 0.65, respectively, in the rainy season; in the dry season, the correlations were of 0.80 and 0.73. The ten-day concordance index ranged from 0.68 to 0.98 and the monthly concordance index ranged from 0.83 to 0.99. The algorithm 3B42 Real Time presented lower statistical results when compared to the 3B42 V_7. The satellite precipitation estimates showed both trends of overestimation and underestimation; however, the satellite data can help research in the absence of information on the rainfall in the region. |
| publishDate |
2017 |
| dc.date.issued.spa.fl_str_mv |
2017-09-01 |
| dc.date.accessioned.spa.fl_str_mv |
2019-07-03T01:15:15Z |
| dc.date.available.spa.fl_str_mv |
2019-07-03T01:15:15Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_6501 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
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ISSN: 2248-7026 |
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https://repositorio.unal.edu.co/handle/unal/65972 |
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http://bdigital.unal.edu.co/66995/ |
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ISSN: 2248-7026 |
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https://repositorio.unal.edu.co/handle/unal/65972 http://bdigital.unal.edu.co/66995/ |
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spa |
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spa |
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https://revistas.unal.edu.co/index.php/refame/article/view/61805 |
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Universidad Nacional de Colombia Revistas electrónicas UN Revista Facultad Nacional de Agronomía Medellín Revista Facultad Nacional de Agronomía Medellín |
| dc.relation.references.spa.fl_str_mv |
Quirino, Dayanna Teodoro and Casaroli, Derblai and Jucá Oliveira, Rômulo Augusto and Mesquita, Márcio and Pego Evangelista, Adão Wagner and Alves Júnior, José (2017) Evaluation of TRMM satellite rainfall estimates (algorithms 3B42 V7 and RT) over the Santo Antônio county (Goiás, Brazil). Revista Facultad Nacional de Agronomía Medellín, 70 (3). pp. 8251-8261. ISSN 2248-7026 |
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Derechos reservados - Universidad Nacional de Colombia |
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http://purl.org/coar/access_right/c_abf2 |
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Atribución-NoComercial 4.0 Internacional |
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info:eu-repo/semantics/openAccess |
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Atribución-NoComercial 4.0 Internacional Derechos reservados - Universidad Nacional de Colombia http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2 |
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