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		<doi>10.1590/s1982-21702020000100001</doi>
		<issn>1413-4853</issn>
		<citationkey>GouveiaSapuMoniAlve:2020:AsNeAt</citationkey>
		<title>Assessment of neutral atmospheric delay predictions based on the temporal resolution of an atmospheric model</title>
		<year>2020</year>
		<typeofwork>journal article</typeofwork>
		<secondarytype>PRE PN</secondarytype>
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		<author>Gouveia, Tayná Aparecida Ferreira,</author>
		<author>Sapucci, Luiz Fernando,</author>
		<author>Monico, João Francisco Galera,</author>
		<author>Alves, Daniele Barroca Marra,</author>
		<orcid>0000-0003-1140-752X</orcid>
		<orcid>0000-0001-8420-8033</orcid>
		<orcid>0000-0003-4101-9261</orcid>
		<orcid>0000-0002-9033-8499</orcid>
		<group></group>
		<group>DIDMD-CGCPT-INPE-MCTIC-GOV-BR</group>
		<affiliation>Universidade Estadual Paulista (UNESP)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Universidade Estadual Paulista (UNESP)</affiliation>
		<affiliation>Universidade Estadual Paulista (UNESP)</affiliation>
		<electronicmailaddress>tayna.fgouveia@gmail.com</electronicmailaddress>
		<electronicmailaddress>luiz.sapucci@inpe.br</electronicmailaddress>
		<electronicmailaddress>galera.monico@unesp.br</electronicmailaddress>
		<electronicmailaddress>danibarroca@unesp.br</electronicmailaddress>
		<journal>Boletim de Ciências Geodésicas</journal>
		<volume>26</volume>
		<number>1</number>
		<pages>e2020001</pages>
		<secondarymark>A1_CIÊNCIAS_AMBIENTAIS A2_INTERDISCIPLINAR A2_GEOGRAFIA B1_CIÊNCIAS_AGRÁRIAS_I B2_GEOCIÊNCIAS B2_ENGENHARIAS_IV B2_ENGENHARIAS_III B2_ENGENHARIAS_I B5_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA C_SAÚDE_COLETIVA C_CIÊNCIA_DA_COMPUTAÇÃO C_ASTRONOMIA_/_FÍSICA</secondarymark>
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		<contenttype>External Contribution</contenttype>
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		<keywords>Neutral atmospheric delay modeling, GNSS positioning, Atmospheric model.</keywords>
		<abstract>In Global Navigation Satellite Systems (GNSS), the effects of neutral atmosphere in electromagnetic signal propagation impacts directly on the quality of the final estimated position, leading to errors in the metric order. Using an atmospheric model is a good strategy to minimize these errors, because it becomes possible to obtain a neutral atmospheric delay with the same spatial and temporal resolution, taking into consideration particularities of the atmosphere treated by a numerical model. The regional model of the Center for Weather Forecasting and Climate Studies (CPTEC) used in this paper has a spatial resolution of 15 km and a temporal resolution of 3 hours. Usually, the delay prediction of 3 hours is interpolated in time to GNSS applications and this can influence the quality of the values obtained in each interpolated epoch. Higher temporal resolutions can lead to lower errors in the final position. In this paper, the quality of delay predictions is evaluated for this atmospheric model with resolutions of 6 and 3 hours. The estimated delay, derived from meteorological data in the same location as the geodetic data, is considered as "truth". The temporal resolution of 3 hours shows better results than using 6 hours, particularly for the hydrostatic component in the initial prediction period, RMSE of 1.25 cm was reduced to 0.2 cm in NEIA station.</abstract>
		<area>MET</area>
		<language>en</language>
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