Evidence map›Paper›PMID 36702914›Full record

ArticleScientific reports2023

Oceanic SACZ produces an abnormally wet 2021/2022 rainy season in South America.

Luciano P Pezzi, Mario F L Quadro, Everaldo B Souza, Arthur J Miller, Vadlamudi B Rao, Eliana B Rosa, Marcelo F Santini, Andréia Bender, Ronald B Souza, Mylene J Cabrera and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 24 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 3 countries.

Luciano P PezziLaboratory of Ocean and Atmosphere Studies (LOA), Earth Observation and Geoinformatics Division (DIOTG), National Institute for Space Research (INPE), São José dos Campos, São Paulo, Brazil. luciano.pezzi@inpe.br.
Mario F L QuadroFederal Institute of Santa Catarina (IFSC), Florianópolis, Santa Catarina, Brazil.
Everaldo B SouzaFederal University of Para (UFPA), Belém, Pará, Brazil.
Arthur J MillerScripps Institution of Oceanography (SIO), University of California San Diego (UCSD), San Diego, CA, USA.
Vadlamudi B RaoLaboratory of Ocean and Atmosphere Studies (LOA), Earth Observation and Geoinformatics Division (DIOTG), National Institute for Space Research (INPE), São José dos Campos, São Paulo, Brazil.
Eliana B RosaLaboratory of Ocean and Atmosphere Studies (LOA), Earth Observation and Geoinformatics Division (DIOTG), National Institute for Space Research (INPE), São José dos Campos, São Paulo, Brazil.
Marcelo F SantiniLaboratory of Ocean and Atmosphere Studies (LOA), Earth Observation and Geoinformatics Division (DIOTG), National Institute for Space Research (INPE), São José dos Campos, São Paulo, Brazil.
Andréia BenderNational Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, São Paulo, Brazil.
Ronald B SouzaEarth System Numerical Modeling Division, National Institute of Space Research (INPE), Cachoeira Paulista, São Paulo, Brazil.
Mylene J CabreraLaboratory of Ocean and Atmosphere Studies (LOA), Earth Observation and Geoinformatics Division (DIOTG), National Institute for Space Research (INPE), São José dos Campos, São Paulo, Brazil.
Claudia K PariseLaboratory for Climate Studies and Modelling, Department of Oceanography, Federal University of Maranhão (UFMA), São Luiz, Maranhão, Brazil.
Jonas T CarvalhoLaboratory of Ocean and Atmosphere Studies (LOA), Earth Observation and Geoinformatics Division (DIOTG), National Institute for Space Research (INPE), São José dos Campos, São Paulo, Brazil.
Luciana S LimaLaboratory of Ocean and Atmosphere Studies (LOA), Earth Observation and Geoinformatics Division (DIOTG), National Institute for Space Research (INPE), São José dos Campos, São Paulo, Brazil.
Maria Rita L de QuadrosFederal Institute of Santa Catarina (IFSC), Florianópolis, Santa Catarina, Brazil.
Douglas M NehmeFederal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Rio de Janeiro, Brazil.
Jaime F AntónioLaboratory of Ocean and Atmosphere Studies (LOA), Earth Observation and Geoinformatics Division (DIOTG), National Institute for Space Research (INPE), São José dos Campos, São Paulo, Brazil.
National Institute for Space Research · BRInstituto Federal de Educação, Ciência e Tecnologia de Santa Catarina · BRCentro Nacional de Monitoramento e Alertas de Desastres Naturais · BRUniversidade Federal do Maranhão · BRUniversidade Federal do Pará · BRUniversidade Federal do Rio de Janeiro · BRUniversity of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The oceanic South Atlantic Convergence Zone (SACZ) has played a major role during South America's 2021/2022 summer extreme rainy season, being responsible for more than 90% of the precipitation in some regions of Southeast Brazil and in some regions of the Southwestern Atlantic Ocean (SWA). The summer of 2021/2022 was unique and rare and considered an abnormally humid season as verified by official Brazilian Institutes. First, the unusual number of cases of SACZ episodes (seven), was the highest recorded in the last decade. Second, all the cases that occurred were oceanic SACZ that assumed characteristics of an Atmospheric River and produced an excessively anomalous amount of precipitation during this period. Excess precipitation along with the regions located in mountainous and very uneven relief, which by orographic effects favors high precipitation volumes, were responsible for amplifying the observed impacts, such as landslides and floods that caused several losses to society. We also showed the main effects of coupling and interaction between the waters of the surface layer of the SWA and the atmosphere. Our learning from this study ends with the unprecedented results of how the marine atmospheric boundary layer (MABL) is locally modulated by the sea surface temperature (SST) that lies just below it. Until the present moment, we emphasize that this important mechanism has not been widely highlighted in the literature, showing that even though the ocean is colder than before oceanic SACZ is established, it is still warmer than the overlying air, thus, the ocean continues to be an active source of heat and moisture for the atmosphere and enhances the MABL instability process.

Identifiers

PMID36702914
PMCPMC9879931
OpenAlexW4318067225

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.