COMPARISON OF WEATHER MEASUREMENTS OBTAINED ON LAND SURFACE AND BY GOOGLE EARTH ENGINE (GEE) IN BOTUCATU - SÃO PAULO - BRAZIL

Detalhes bibliográficos
Autor(a) principal: Rodrigues Raniero, Matheus
Data de Publicação: 2023
Outros Autores: Contes Calça, Marcus Vinícius, Franco, José Rafael, Stucchi , Giovana, Ribeiro Roder , Ludmila, Dal Pai, Alexandre
Tipo de documento: Artigo
Idioma: por
Título da fonte: Nativa (Sinop)
Texto Completo: https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/15887
Resumo: The aim of this study was to compare weather data obtained from geospatial products in Google Earth Engine with measurements collected by an automatic weather station at the School of Agricultural Sciences of UNESP in Botucatu (SP) - Brazil. Scatter plots were created and the statistical indicators MBE, rMBE, RMSE, rRMSE and r were generated from data on air temperature, precipitation, evapotranspiration, wind speed, shortwave solar irradiation, and atmospheric pressure, obtained in 2018 at hourly, daily, and monthly temporal resolutions. The investigation pointed to a strong positive correlation in most of the weather data, however, those related to the amount of water present in the atmosphere, such as precipitation and evapotranspiration, showed a lower correlation, mainly in the hourly temporal resolution. The study demonstrated that geospatial products were an efficient alternative to obtain weather data for the city of Botucatu (SP) - Brazil, mainly because they were obtained in a simplified way from the Google Earth Engine cloud computing platform, which demonstrated be a possible alternative to traditional weather measurements, collected on the earth's surface, in areas where the necessary technological resources are not available to meet this demand.
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spelling COMPARISON OF WEATHER MEASUREMENTS OBTAINED ON LAND SURFACE AND BY GOOGLE EARTH ENGINE (GEE) IN BOTUCATU - SÃO PAULO - BRAZILCOMPARACIÓN DE MEDIDAS METEOROLÓGICAS OBTENIDAS EN SUPERFICIE TERRESTRE Y MEDIANTE GOOGLE EARTH ENGINE (GEE) EN BOTUCATU - SÃO PAULO - BRASILCOMPARAÇÃO DE MEDIÇÕES METEOROLÓGICAS OBTIDAS EM SUPERFÍCIE TERRESTRE E POR MEIO DO GOOGLE EARTH ENGINE (GEE) EM BOTUCATU, SÃO PAULO, BRASILWeather MeasurementsWeather StationWeather Data CorrelationSatellite ProductsGeospatial Weather DataMedidas meteorológicasEstacion MeteorologicaCorrelación de Datos MeteorológicosProductos SatelitalesCorrelación de Datos GeoespacialesMedidas MeteorologicasEstação MeteorologicaCorrelação de Dados MeteorologicosProdutos de SatéliteDados Meteorologicos GeoespaciaisThe aim of this study was to compare weather data obtained from geospatial products in Google Earth Engine with measurements collected by an automatic weather station at the School of Agricultural Sciences of UNESP in Botucatu (SP) - Brazil. Scatter plots were created and the statistical indicators MBE, rMBE, RMSE, rRMSE and r were generated from data on air temperature, precipitation, evapotranspiration, wind speed, shortwave solar irradiation, and atmospheric pressure, obtained in 2018 at hourly, daily, and monthly temporal resolutions. The investigation pointed to a strong positive correlation in most of the weather data, however, those related to the amount of water present in the atmosphere, such as precipitation and evapotranspiration, showed a lower correlation, mainly in the hourly temporal resolution. The study demonstrated that geospatial products were an efficient alternative to obtain weather data for the city of Botucatu (SP) - Brazil, mainly because they were obtained in a simplified way from the Google Earth Engine cloud computing platform, which demonstrated be a possible alternative to traditional weather measurements, collected on the earth's surface, in areas where the necessary technological resources are not available to meet this demand.El objetivo de este estudio fue comparar datos meteorológicos obtenidos de productos geoespaciales en Google Earth Engine con mediciones recolectadas por una estación meteorológica automática en la Facultad de Ciencias Agrícolas de la UNESP en Botucatu (SP) - Brasil. Se crearon diagramas de dispersión y se generaron los indicadores estadísticos MBE, rMBE, RMSE, rRMSE y r a partir de datos de temperatura del aire, precipitación, evapotranspiración, velocidad del viento, radiación solar de onda corta y presión atmosférica, obtenidos en el año 2018 a resoluciones temporales horarias, diarias y mensuales . La investigación apuntó una fuerte correlación positiva en la mayoría de los datos meteorológicos, sin embargo, los relacionados con la cantidad de agua presente en la atmósfera, como la precipitación y la evapotranspiración, mostraron una menor correlación, principalmente en la resolución temporal horaria. El estudio demostró que los productos geoespaciales fueron una alternativa eficiente para la obtención de datos meteorológicos para el municipio de Botucatu (SP) - Brasil, principalmente porque fueron obtenidos de forma simplificada de la plataforma de computación en la nube Google Earth Engine, lo que demostró ser una posible alternativa para mediciones meteorológicas tradicionales, recogidas en la superficie terrestre, en zonas donde no se dispone de los recursos tecnológicos necesarios para atender esta demanda.O objetivo deste estudo foi comparar medidas meteorológicas obtidas a partir de produtos geoespaciais no Google Earth Engine em relação a coletadas por uma estação meteorológica automática na Faculdade de Ciências Agronômicas da UNESP em Botucatu (SP) - Brasil. Foram criados gráficos de dispersão e gerados os indicadores estatísticos MBE, rMBE, RMSE, rRMSE e r a partir das variáveis meteorológicas de temperatura do ar, precipitação, evapotranspiração, velocidade do vento, irradiação solar de onda curta e pressão atmosférica, obtidas em 2018 nas resoluções temporais horária, diária e mensal. A investigação apontou uma forte correlação positiva em grande parte das medições meteorológicas, no entanto, aquelas relacionadas à quantidade de água presente na atmosfera, como precipitação e evapotranspiração, apresentaram uma menor correlação, principalmente na resolução temporal horária. O estudo demonstrou que os produtos geoespaciais foram uma alternativa eficiente para obter medidas meteorológicas para o município de Botucatu (SP) - Brasil, principalmente por terem sido obtidos de forma simplificada a partir da plataforma de computação em nuvem do Google Earth Engine, o que demonstrou ser uma possível alternativa às medições meteorológicas tradicionais, coletadas na superfície terrestre, em áreas onde não se tem recursos tecnológicos necessários para atender essa demanda. Palavras-chave: medidas meteorológicas; produtos de satélites; dados climáticos geoespaciais.   Comparison of weather measurements obtained on land surface and by Google Earth Engine (GEE) in Botucatu, São Paulo, Brazil   ABSTRACT: The aim of this study was to compare weather data obtained from geospatial products in Google Earth Engine with measurements collected by an automatic weather station at the School of Agricultural Sciences of UNESP in Botucatu (SP) - Brazil. Scatter plots were created and the statistical indicators MBE, rMBE, RMSE, rRMSE and r were generated from data on air temperature, precipitation, evapotranspiration, wind speed, shortwave solar irradiation, and atmospheric pressure, obtained in 2018 at hourly, daily, and monthly temporal resolutions. The investigation pointed to a strong positive correlation in most of the weather data, however, those related to the amount of water present in the atmosphere, such as precipitation and evapotranspiration, showed a lower correlation, mainly in the hourly temporal resolution. The study demonstrated that geospatial products were an efficient alternative to obtain weather data for the city of Botucatu (SP) - Brazil, mainly because they were obtained in a simplified way from the Google Earth Engine cloud computing platform, which demonstrated be a possible alternative to traditional weather measurements, collected on the earth's surface, in areas where the necessary technological resources are not available to meet this demand. Keywords: weather measurements; satellite products; geospatial climatic data.Universidade Federal de Mato Grosso2023-09-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/1588710.31413/nat.v11i3.15887Nativa; v. 11 n. 3 (2023); 331-337Nativa; Vol. 11 Núm. 3 (2023); 331-337Nativa; Vol. 11 No. 3 (2023); 331-3372318-7670reponame:Nativa (Sinop)instname:Universidade Federal de Mato Grosso (UFMT)instacron:UFMTporhttps://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/15887/12635Copyright (c) 2023 Nativahttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessRodrigues Raniero, MatheusContes Calça, Marcus ViníciusFranco, José RafaelStucchi , Giovana Ribeiro Roder , LudmilaDal Pai, Alexandre2023-09-15T13:53:37Zoai:periodicoscientificos.ufmt.br:article/15887Revistahttps://periodicoscientificos.ufmt.br/ojs/index.php/nativaPUBhttps://periodicoscientificos.ufmt.br/ojs/index.php/nativa/oai||rrmelo2@yahoo.com.br2318-76702318-7670opendoar:2023-09-15T13:53:37Nativa (Sinop) - Universidade Federal de Mato Grosso (UFMT)false
dc.title.none.fl_str_mv COMPARISON OF WEATHER MEASUREMENTS OBTAINED ON LAND SURFACE AND BY GOOGLE EARTH ENGINE (GEE) IN BOTUCATU - SÃO PAULO - BRAZIL
COMPARACIÓN DE MEDIDAS METEOROLÓGICAS OBTENIDAS EN SUPERFICIE TERRESTRE Y MEDIANTE GOOGLE EARTH ENGINE (GEE) EN BOTUCATU - SÃO PAULO - BRASIL
COMPARAÇÃO DE MEDIÇÕES METEOROLÓGICAS OBTIDAS EM SUPERFÍCIE TERRESTRE E POR MEIO DO GOOGLE EARTH ENGINE (GEE) EM BOTUCATU, SÃO PAULO, BRASIL
title COMPARISON OF WEATHER MEASUREMENTS OBTAINED ON LAND SURFACE AND BY GOOGLE EARTH ENGINE (GEE) IN BOTUCATU - SÃO PAULO - BRAZIL
spellingShingle COMPARISON OF WEATHER MEASUREMENTS OBTAINED ON LAND SURFACE AND BY GOOGLE EARTH ENGINE (GEE) IN BOTUCATU - SÃO PAULO - BRAZIL
Rodrigues Raniero, Matheus
Weather Measurements
Weather Station
Weather Data Correlation
Satellite Products
Geospatial Weather Data
Medidas meteorológicas
Estacion Meteorologica
Correlación de Datos Meteorológicos
Productos Satelitales
Correlación de Datos Geoespaciales
Medidas Meteorologicas
Estação Meteorologica
Correlação de Dados Meteorologicos
Produtos de Satélite
Dados Meteorologicos Geoespaciais
title_short COMPARISON OF WEATHER MEASUREMENTS OBTAINED ON LAND SURFACE AND BY GOOGLE EARTH ENGINE (GEE) IN BOTUCATU - SÃO PAULO - BRAZIL
title_full COMPARISON OF WEATHER MEASUREMENTS OBTAINED ON LAND SURFACE AND BY GOOGLE EARTH ENGINE (GEE) IN BOTUCATU - SÃO PAULO - BRAZIL
title_fullStr COMPARISON OF WEATHER MEASUREMENTS OBTAINED ON LAND SURFACE AND BY GOOGLE EARTH ENGINE (GEE) IN BOTUCATU - SÃO PAULO - BRAZIL
title_full_unstemmed COMPARISON OF WEATHER MEASUREMENTS OBTAINED ON LAND SURFACE AND BY GOOGLE EARTH ENGINE (GEE) IN BOTUCATU - SÃO PAULO - BRAZIL
title_sort COMPARISON OF WEATHER MEASUREMENTS OBTAINED ON LAND SURFACE AND BY GOOGLE EARTH ENGINE (GEE) IN BOTUCATU - SÃO PAULO - BRAZIL
author Rodrigues Raniero, Matheus
author_facet Rodrigues Raniero, Matheus
Contes Calça, Marcus Vinícius
Franco, José Rafael
Stucchi , Giovana
Ribeiro Roder , Ludmila
Dal Pai, Alexandre
author_role author
author2 Contes Calça, Marcus Vinícius
Franco, José Rafael
Stucchi , Giovana
Ribeiro Roder , Ludmila
Dal Pai, Alexandre
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Rodrigues Raniero, Matheus
Contes Calça, Marcus Vinícius
Franco, José Rafael
Stucchi , Giovana
Ribeiro Roder , Ludmila
Dal Pai, Alexandre
dc.subject.por.fl_str_mv Weather Measurements
Weather Station
Weather Data Correlation
Satellite Products
Geospatial Weather Data
Medidas meteorológicas
Estacion Meteorologica
Correlación de Datos Meteorológicos
Productos Satelitales
Correlación de Datos Geoespaciales
Medidas Meteorologicas
Estação Meteorologica
Correlação de Dados Meteorologicos
Produtos de Satélite
Dados Meteorologicos Geoespaciais
topic Weather Measurements
Weather Station
Weather Data Correlation
Satellite Products
Geospatial Weather Data
Medidas meteorológicas
Estacion Meteorologica
Correlación de Datos Meteorológicos
Productos Satelitales
Correlación de Datos Geoespaciales
Medidas Meteorologicas
Estação Meteorologica
Correlação de Dados Meteorologicos
Produtos de Satélite
Dados Meteorologicos Geoespaciais
description The aim of this study was to compare weather data obtained from geospatial products in Google Earth Engine with measurements collected by an automatic weather station at the School of Agricultural Sciences of UNESP in Botucatu (SP) - Brazil. Scatter plots were created and the statistical indicators MBE, rMBE, RMSE, rRMSE and r were generated from data on air temperature, precipitation, evapotranspiration, wind speed, shortwave solar irradiation, and atmospheric pressure, obtained in 2018 at hourly, daily, and monthly temporal resolutions. The investigation pointed to a strong positive correlation in most of the weather data, however, those related to the amount of water present in the atmosphere, such as precipitation and evapotranspiration, showed a lower correlation, mainly in the hourly temporal resolution. The study demonstrated that geospatial products were an efficient alternative to obtain weather data for the city of Botucatu (SP) - Brazil, mainly because they were obtained in a simplified way from the Google Earth Engine cloud computing platform, which demonstrated be a possible alternative to traditional weather measurements, collected on the earth's surface, in areas where the necessary technological resources are not available to meet this demand.
publishDate 2023
dc.date.none.fl_str_mv 2023-09-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/15887
10.31413/nat.v11i3.15887
url https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/15887
identifier_str_mv 10.31413/nat.v11i3.15887
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/15887/12635
dc.rights.driver.fl_str_mv Copyright (c) 2023 Nativa
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Nativa
https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Mato Grosso
publisher.none.fl_str_mv Universidade Federal de Mato Grosso
dc.source.none.fl_str_mv Nativa; v. 11 n. 3 (2023); 331-337
Nativa; Vol. 11 Núm. 3 (2023); 331-337
Nativa; Vol. 11 No. 3 (2023); 331-337
2318-7670
reponame:Nativa (Sinop)
instname:Universidade Federal de Mato Grosso (UFMT)
instacron:UFMT
instname_str Universidade Federal de Mato Grosso (UFMT)
instacron_str UFMT
institution UFMT
reponame_str Nativa (Sinop)
collection Nativa (Sinop)
repository.name.fl_str_mv Nativa (Sinop) - Universidade Federal de Mato Grosso (UFMT)
repository.mail.fl_str_mv ||rrmelo2@yahoo.com.br
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