author = "Gouveia, Tayn{\'a} Aparecida Ferreira and Sapucci, Luiz Fernando 
                         and Monico, Jo{\~a}o Francisco Galera and Alves, Daniele Barroca 
          affiliation = "{Universidade Estadual Paulista (UNESP)} and {Instituto Nacional 
                         de Pesquisas Espaciais (INPE)} and {Universidade Estadual Paulista 
                         (UNESP)} and {Universidade Estadual Paulista (UNESP)}",
                title = "Assessment of neutral atmospheric delay predictions based on the 
                         temporal resolution of an atmospheric model",
              journal = "Boletim de Ci{\^e}ncias Geod{\'e}sicas",
                 year = "2020",
               volume = "26",
               number = "1",
                pages = "e2020001",
             keywords = "Neutral atmospheric delay modeling, GNSS positioning, Atmospheric 
             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 
                  doi = "10.1590/s1982-21702020000100001",
                  url = "http://dx.doi.org/10.1590/s1982-21702020000100001",
                 issn = "1413-4853",
             language = "en",
           targetfile = "gouveia_assessment.pdf",
        urlaccessdate = "13 abr. 2021"