@Article{GouveiaSapuMoniAlve:2014:RoEvNe,
author = "Gouveia, Tayn{\'a} Aparecida Ferreira and Sapucci, Luiz Fernando
and Monico, Jo{\~a}o Francisco Galera and Alves, Daniele Barroca
Marra",
affiliation = "Universidade Estadual Paulista UNESP Presidente Prudente, SP,
Brazil and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
Universidade Estadual Paulista UNESPPresidente Prudente, SP,
Brazil and Universidade Estadual Paulista UNESPPresidente
Prudente, SP, Brazil",
title = "Robust evaluation of neutrospheric modeling over brasilian
territory based on numerical weather prediction models of South
American",
journal = "Boletim de Ci{\^e}ncias Geod{\'e}sicas",
year = "2014",
volume = "20",
number = "3",
pages = "481--503",
month = "jul.-set.",
keywords = "data assimilation, GNSS, GPS, ionosphere, spatial resolution,
weather forecasting, Brazil.",
abstract = "GNSS (GNSS - Global Navigation Satellite System) positioning is
the most by used technique to obtain a location over terrestrial
surface or close to it. After the effects generated by the
ionosphere, the refraction that the signal suffers, when it goes
through the neutrosphere, can be considered as one of the largest
error sources in the signal, in which is generated a neutrospheric
delay, also called Zenithal Tropospheric Delay (ZTD). When the ZTD
is not modeled, significant errors in the GNSS positioning are
observed. Numerical Weather Prediction models are good
alternatives to obtain ZTD over South America, because they are
fed daily by atmospheric observations and consequently they are
able to capture the temporal and spatial oscillations of the ZTD
values. In Brazil, a system is operating at CPTEC/INPE for the
purpose of generating such forecasts with spatial resolution of 15
km and temporal of 3 hours. In order to assess the impact of the
recent improvements in the quality of ZTD predictions, a robust
evaluation of the ZTD predictions was performed, taking into
consideration several analyses in the Brazilian territory, in
which ZTD values obtained from GPS data collected by the RBMC
stations were used as reference, considering the evaluation:
seasonal, the continentality, altitude and latitude variation.",
doi = "10.1590/S1982-21702014000200028",
url = "http://dx.doi.org/10.1590/S1982-21702014000200028",
issn = "1413-4853",
label = "scopus 2014-11 GouveiaSapMonAlvSap:2014:RoEvNe",
language = "pt",
targetfile = "Gouveia_Avaliacao.pdf",
url = "http://dx.doi.org/10.1590/S1982-21702014000200028",
urlaccessdate = "28 mar. 2024"
}