Minimum temperature differences between the meteorological screen and grass in radiative frost nights
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.5433/1679-0359.2018v39n6p2337 http://hdl.handle.net/11449/221219 |
Resumo: | A phenomenon called thermal inversion, in which there is the accumulation of colder and denser air in the layers closer to the soil, occurs in radiative frost nights, resulting in a temperature gradient with differences between the meteorological screen and grass, which vary depending on cooling conditions. Knowing this temperature difference assists in taking preventive measures against radiative frosts, as well as in estimating the probability of their occurrences. In this context, this study aimed to verify the adjustment of different probability distributions to determine the differences between the minimum temperature measured in the meteorological screen and grass temperature below 0 °C for eight regions of the Paraná State, as well as the probability of occurring these differences and adjust estimation equations of grass temperature from minimum air temperature. Temperature differences between the screen and grass were calculated and probability distributions of their occurrences were adjusted in order to determine risks per intervals of temperature differences. Estimation equations of grass temperature were adjusted from minimum screen temperatures. Average gradients of minimum temperature were observed between the screen and grass ranging from 4.2 to 6.3 °C in the analyzed regions. The average temperature difference measured in the meteorological screen and grass for the Paraná State was 5 °C. The probabilistic model of normal distribution is the most suitable for determining the probability of occurring the differences between the screen and grass temperatures for the Paraná State. Regional relief and climate conditions influence the magnitude of the minimum temperature gradient measured in the meteorological screen and grass. Estimation equations can be useful to determine the grass temperature based on the minimum air temperature for periods in which there is no such data and thus provide a subsidy for studies of risk analysis of frosts. The results of this analysis are empirical and the equations should be used in regions in which they were adjusted aiming at a higher accuracy. |
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Repositório Institucional da UNESP |
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Minimum temperature differences between the meteorological screen and grass in radiative frost nightsDiferenças de temperatura mínima entre o abrigo meteorológico e a relva em noites com geadasFrost riskGrass temperatureTemperature gradientThermal inversionA phenomenon called thermal inversion, in which there is the accumulation of colder and denser air in the layers closer to the soil, occurs in radiative frost nights, resulting in a temperature gradient with differences between the meteorological screen and grass, which vary depending on cooling conditions. Knowing this temperature difference assists in taking preventive measures against radiative frosts, as well as in estimating the probability of their occurrences. In this context, this study aimed to verify the adjustment of different probability distributions to determine the differences between the minimum temperature measured in the meteorological screen and grass temperature below 0 °C for eight regions of the Paraná State, as well as the probability of occurring these differences and adjust estimation equations of grass temperature from minimum air temperature. Temperature differences between the screen and grass were calculated and probability distributions of their occurrences were adjusted in order to determine risks per intervals of temperature differences. Estimation equations of grass temperature were adjusted from minimum screen temperatures. Average gradients of minimum temperature were observed between the screen and grass ranging from 4.2 to 6.3 °C in the analyzed regions. The average temperature difference measured in the meteorological screen and grass for the Paraná State was 5 °C. The probabilistic model of normal distribution is the most suitable for determining the probability of occurring the differences between the screen and grass temperatures for the Paraná State. Regional relief and climate conditions influence the magnitude of the minimum temperature gradient measured in the meteorological screen and grass. Estimation equations can be useful to determine the grass temperature based on the minimum air temperature for periods in which there is no such data and thus provide a subsidy for studies of risk analysis of frosts. The results of this analysis are empirical and the equations should be used in regions in which they were adjusted aiming at a higher accuracy.Programa de Pós-Graduação em Engenharia de Sistemas Agrícolas Universidade Estadual de São Paulo USP Escola Superior de Agricultura “Luiz de Queiroz” ESALQÁrea de Ecofisiologia Instituto Agronômico do Paraná IAPARDepartamento de Agronomia Universidade Estadual de Londrina UELPrograma de Pós-Graduação em Engenharia de Sistemas Agrícolas Universidade Estadual de São Paulo USP Escola Superior de Agricultura “Luiz de Queiroz” ESALQUniversidade Estadual Paulista (UNESP)IAPARUniversidade Estadual de Londrina (UEL)Vieira, Nilson Aparecido [UNESP]Caramori, Paulo HenriqueDe Aguiar E Silva, Marcelo AugustoNitsche, Pablo Ricardo2022-04-28T19:26:53Z2022-04-28T19:26:53Z2018-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2337-2349http://dx.doi.org/10.5433/1679-0359.2018v39n6p2337Semina:Ciencias Agrarias, v. 39, n. 6, p. 2337-2349, 2018.1679-03591676-546Xhttp://hdl.handle.net/11449/22121910.5433/1679-0359.2018v39n6p23372-s2.0-85057728961Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSemina:Ciencias Agrariasinfo:eu-repo/semantics/openAccess2022-04-28T19:26:53Zoai:repositorio.unesp.br:11449/221219Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:43:49.926543Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Minimum temperature differences between the meteorological screen and grass in radiative frost nights Diferenças de temperatura mínima entre o abrigo meteorológico e a relva em noites com geadas |
title |
Minimum temperature differences between the meteorological screen and grass in radiative frost nights |
spellingShingle |
Minimum temperature differences between the meteorological screen and grass in radiative frost nights Vieira, Nilson Aparecido [UNESP] Frost risk Grass temperature Temperature gradient Thermal inversion |
title_short |
Minimum temperature differences between the meteorological screen and grass in radiative frost nights |
title_full |
Minimum temperature differences between the meteorological screen and grass in radiative frost nights |
title_fullStr |
Minimum temperature differences between the meteorological screen and grass in radiative frost nights |
title_full_unstemmed |
Minimum temperature differences between the meteorological screen and grass in radiative frost nights |
title_sort |
Minimum temperature differences between the meteorological screen and grass in radiative frost nights |
author |
Vieira, Nilson Aparecido [UNESP] |
author_facet |
Vieira, Nilson Aparecido [UNESP] Caramori, Paulo Henrique De Aguiar E Silva, Marcelo Augusto Nitsche, Pablo Ricardo |
author_role |
author |
author2 |
Caramori, Paulo Henrique De Aguiar E Silva, Marcelo Augusto Nitsche, Pablo Ricardo |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) IAPAR Universidade Estadual de Londrina (UEL) |
dc.contributor.author.fl_str_mv |
Vieira, Nilson Aparecido [UNESP] Caramori, Paulo Henrique De Aguiar E Silva, Marcelo Augusto Nitsche, Pablo Ricardo |
dc.subject.por.fl_str_mv |
Frost risk Grass temperature Temperature gradient Thermal inversion |
topic |
Frost risk Grass temperature Temperature gradient Thermal inversion |
description |
A phenomenon called thermal inversion, in which there is the accumulation of colder and denser air in the layers closer to the soil, occurs in radiative frost nights, resulting in a temperature gradient with differences between the meteorological screen and grass, which vary depending on cooling conditions. Knowing this temperature difference assists in taking preventive measures against radiative frosts, as well as in estimating the probability of their occurrences. In this context, this study aimed to verify the adjustment of different probability distributions to determine the differences between the minimum temperature measured in the meteorological screen and grass temperature below 0 °C for eight regions of the Paraná State, as well as the probability of occurring these differences and adjust estimation equations of grass temperature from minimum air temperature. Temperature differences between the screen and grass were calculated and probability distributions of their occurrences were adjusted in order to determine risks per intervals of temperature differences. Estimation equations of grass temperature were adjusted from minimum screen temperatures. Average gradients of minimum temperature were observed between the screen and grass ranging from 4.2 to 6.3 °C in the analyzed regions. The average temperature difference measured in the meteorological screen and grass for the Paraná State was 5 °C. The probabilistic model of normal distribution is the most suitable for determining the probability of occurring the differences between the screen and grass temperatures for the Paraná State. Regional relief and climate conditions influence the magnitude of the minimum temperature gradient measured in the meteorological screen and grass. Estimation equations can be useful to determine the grass temperature based on the minimum air temperature for periods in which there is no such data and thus provide a subsidy for studies of risk analysis of frosts. The results of this analysis are empirical and the equations should be used in regions in which they were adjusted aiming at a higher accuracy. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-11-01 2022-04-28T19:26:53Z 2022-04-28T19:26:53Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.5433/1679-0359.2018v39n6p2337 Semina:Ciencias Agrarias, v. 39, n. 6, p. 2337-2349, 2018. 1679-0359 1676-546X http://hdl.handle.net/11449/221219 10.5433/1679-0359.2018v39n6p2337 2-s2.0-85057728961 |
url |
http://dx.doi.org/10.5433/1679-0359.2018v39n6p2337 http://hdl.handle.net/11449/221219 |
identifier_str_mv |
Semina:Ciencias Agrarias, v. 39, n. 6, p. 2337-2349, 2018. 1679-0359 1676-546X 10.5433/1679-0359.2018v39n6p2337 2-s2.0-85057728961 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Semina:Ciencias Agrarias |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
2337-2349 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128692814086144 |