Long-term (35 Years) Rainy and Dry Season Characterization in Semiarid Northeastern Brazil

Detalhes bibliográficos
Autor(a) principal: Sparacino,J.
Data de Publicação: 2021
Outros Autores: Argibay,D.S., Espindola,G.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Meteorologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862021000300377
Resumo: Abstract Uncertainties in the timing and quality of rainy season are a threat for food and water security, and also in terms of fire vulnerability. Then, understanding features associated to rainfall allows a climate characterization useful for climate and fire risk management. We used rainfall data series (1983-2018) from 15 meteorological stations to characterize the greatest conservation area of Brazilian-unique seasonally dry tropical forest Caatinga (northeastern Brazil). Accumulated anomalies in daily series were used to determine onset and end of rainy seasons. We also determined seasonal and annual rainfall (quality) and rain rate, and performed a dry season sub-classification. Results showed greater variability for end dates as compared to onset dates for rainy season. Droughts in the region are becoming more severe. We found a significant decreasing tendency of 7 mm/year on annual rainfall, of 0.3 mm/day per decade on rain rate, and an increase of 12 days per decade on consecutive dry days. Dry season length presented a 14-year periodicity and is related with previous but uncorrelated from posterior rainy season length. The complexity of the rainfall patterns is evidenced by the weak correlation we found between the amount of rainfall and the rainy season length.
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spelling Long-term (35 Years) Rainy and Dry Season Characterization in Semiarid Northeastern Brazilclimate variabilityCaatingadroughtfire vulnerabilitySerra da Capivara National ParkSerra das Confusões National ParkAbstract Uncertainties in the timing and quality of rainy season are a threat for food and water security, and also in terms of fire vulnerability. Then, understanding features associated to rainfall allows a climate characterization useful for climate and fire risk management. We used rainfall data series (1983-2018) from 15 meteorological stations to characterize the greatest conservation area of Brazilian-unique seasonally dry tropical forest Caatinga (northeastern Brazil). Accumulated anomalies in daily series were used to determine onset and end of rainy seasons. We also determined seasonal and annual rainfall (quality) and rain rate, and performed a dry season sub-classification. Results showed greater variability for end dates as compared to onset dates for rainy season. Droughts in the region are becoming more severe. We found a significant decreasing tendency of 7 mm/year on annual rainfall, of 0.3 mm/day per decade on rain rate, and an increase of 12 days per decade on consecutive dry days. Dry season length presented a 14-year periodicity and is related with previous but uncorrelated from posterior rainy season length. The complexity of the rainfall patterns is evidenced by the weak correlation we found between the amount of rainfall and the rainy season length.Sociedade Brasileira de Meteorologia2021-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862021000300377Revista Brasileira de Meteorologia v.36 n.3 2021reponame:Revista Brasileira de Meteorologia (Online)instname:Sociedade Brasileira de Meteorologia (SBMET)instacron:SBMET10.1590/0102-77863630138info:eu-repo/semantics/openAccessSparacino,J.Argibay,D.S.Espindola,G.eng2021-10-04T00:00:00Zoai:scielo:S0102-77862021000300377Revistahttp://www.rbmet.org.br/port/index.phpONGhttps://old.scielo.br/oai/scielo-oai.php||rbmet@rbmet.org.br1982-43510102-7786opendoar:2021-10-04T00:00Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)false
dc.title.none.fl_str_mv Long-term (35 Years) Rainy and Dry Season Characterization in Semiarid Northeastern Brazil
title Long-term (35 Years) Rainy and Dry Season Characterization in Semiarid Northeastern Brazil
spellingShingle Long-term (35 Years) Rainy and Dry Season Characterization in Semiarid Northeastern Brazil
Sparacino,J.
climate variability
Caatinga
drought
fire vulnerability
Serra da Capivara National Park
Serra das Confusões National Park
title_short Long-term (35 Years) Rainy and Dry Season Characterization in Semiarid Northeastern Brazil
title_full Long-term (35 Years) Rainy and Dry Season Characterization in Semiarid Northeastern Brazil
title_fullStr Long-term (35 Years) Rainy and Dry Season Characterization in Semiarid Northeastern Brazil
title_full_unstemmed Long-term (35 Years) Rainy and Dry Season Characterization in Semiarid Northeastern Brazil
title_sort Long-term (35 Years) Rainy and Dry Season Characterization in Semiarid Northeastern Brazil
author Sparacino,J.
author_facet Sparacino,J.
Argibay,D.S.
Espindola,G.
author_role author
author2 Argibay,D.S.
Espindola,G.
author2_role author
author
dc.contributor.author.fl_str_mv Sparacino,J.
Argibay,D.S.
Espindola,G.
dc.subject.por.fl_str_mv climate variability
Caatinga
drought
fire vulnerability
Serra da Capivara National Park
Serra das Confusões National Park
topic climate variability
Caatinga
drought
fire vulnerability
Serra da Capivara National Park
Serra das Confusões National Park
description Abstract Uncertainties in the timing and quality of rainy season are a threat for food and water security, and also in terms of fire vulnerability. Then, understanding features associated to rainfall allows a climate characterization useful for climate and fire risk management. We used rainfall data series (1983-2018) from 15 meteorological stations to characterize the greatest conservation area of Brazilian-unique seasonally dry tropical forest Caatinga (northeastern Brazil). Accumulated anomalies in daily series were used to determine onset and end of rainy seasons. We also determined seasonal and annual rainfall (quality) and rain rate, and performed a dry season sub-classification. Results showed greater variability for end dates as compared to onset dates for rainy season. Droughts in the region are becoming more severe. We found a significant decreasing tendency of 7 mm/year on annual rainfall, of 0.3 mm/day per decade on rain rate, and an increase of 12 days per decade on consecutive dry days. Dry season length presented a 14-year periodicity and is related with previous but uncorrelated from posterior rainy season length. The complexity of the rainfall patterns is evidenced by the weak correlation we found between the amount of rainfall and the rainy season length.
publishDate 2021
dc.date.none.fl_str_mv 2021-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862021000300377
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862021000300377
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0102-77863630138
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
dc.source.none.fl_str_mv Revista Brasileira de Meteorologia v.36 n.3 2021
reponame:Revista Brasileira de Meteorologia (Online)
instname:Sociedade Brasileira de Meteorologia (SBMET)
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