Evidence map›Paper›PMID 35401049›Full record

ArticleStochastic environmental research and risk assessment : research journal2022

Modeling of the air temperature using the Extreme Value Theory for selected biomes in Mato Grosso do Sul (Brazil).

Carlos José Dos Reis, Amaury Souza, Renata Graf, Tomasz M Kossowski, Marcel Carvalho Abreu, José Francisco de Oliveira-Júnior, Widinei Alves Fernandes

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Article in Stochastic environmental research and risk assessment : research journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Carlos José Dos ReisDepartment of Agricultural, Statistics and Experimentation Institution: Department of Statistics, Federal University of Lavras - UFLA-CEP, Lavras, 37200-900 Brazil.ORCID 0000-0002-4779-1116
Amaury SouzaPhysics Department, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900 Brazil.ORCID 0000-0001-8168-1482
Renata GrafDepartment of Hydrology and Water Management, Institute of Physical Geography and Environmental Planning, Adam Mickiewicz University, B. Krygowskiego 10, 61-680 Poznań, Poland.ORCID 0000-0003-1518-4773
Tomasz M KossowskiDepartment of Spatial Econometrics, Faculty of Human Geography and Planning, Adam Mickiewicz University, B. Krygowskiego 10, 61-680 Poznań, Poland.ORCID 0000-0002-9976-4398
Marcel Carvalho AbreuDepartment of Environmental Sciences, Forest Institute, Federal Rural University of Rio de Janeiro, Seropédica, Rio de Janeiro 23890-000 Brazil.ORCID 0000-0002-6457-421X
José Francisco de Oliveira-JúniorInstitute of Atmospheric Sciences, Federal University of Alagoas, Maceió, Alagoas 57072-900 Brazil.ORCID 0000-0002-6131-7605
Widinei Alves FernandesPhysics Department, Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900 Brazil.ORCID 0000-0001-9481-3413

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper aims to find probabilities of extreme values of the air temperature for the Cerrado, Pantanal and Atlantic Forest biomes in Mato Grosso do Sul in Brazil. In this case a maximum likelihood estimation was employed for the probability distributions fitting the extreme monthly air temperatures for 2007-2018. Using the Extreme Value Theory approach this work estimates three probability distributions: the Generalized Distribution of Extreme Values (GEV), the Gumbel (GUM) and the Log-Normal (LN). The Kolmogorov-Smirnov test, the corrected Akaike criterion Supplementary Information: The online version contains supplementary material available at 10.1007/s00477-022-02206-1.

Indexed as

Air temperatureBiomesBrazilClimate changeExtreme Value TheoryProbability distribution

Identifiers

PMID35401049
PMCPMC8981891

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