@Article{AlvesSaMaSoGoMa:2016:UsReNu,
author = "Alves, Deniele Barroca Marra and Sapucci, Luiz Fernando and
Marques, Haroldo Antonio and Souza, Eniuce Menezes de and Gouveia,
Tayna Aparecida Ferreira and Mag{\'a}rio, Jackes Akira",
affiliation = "{Universidade Estadual Paulista (UNESP)} and {Instituto Nacional
de Pesquisas Espaciais (INPE)} and {Universidade Federal de
Pernambuco (UFPE)} and {Universidade Estadual de Maring{\'a}
(UEM)} and {Universidade Estadual Paulista (UNESP)} and
{Universidade Estadual Paulista (UNESP)}",
title = "Using a regional numerical weather prediction model for GNSS
positioning over Brazil",
journal = "GPS Solutions",
year = "2016",
volume = "20",
number = "4",
pages = "677--685",
month = "Oct.",
keywords = "Numerical weather prediction, Zenithal tropospheric delay, GNSS,
Positioning.",
abstract = "The global navigation satellite system (GNSS) can provide
centimeter positioning accuracy at low costs. However, in order to
obtain the desired high accuracy, it is necessary to use
high-quality atmospheric models. We focus on the troposphere,
which is an important topic of research in Brazil where the
tropospheric characteristics are unique, both spatially and
temporally. There are dry regions, which lie mainly in the central
part of the country. However, the most interesting area for the
investigation of tropospheric models is the wet region which is
located in the Amazon forest. This region substantially affects
the variability of humidity over other regions of Brazil. It
provides a large quantity of water vapor through the humidity
convergence zone, especially for the southeast region. The
interconnection and large fluxes of water vapor can generate
serious deficiencies in tropospheric modeling. The CPTEC/INPE
(Center for Weather Forecasting and Climate Studies/Brazilian
Institute for Space Research) has been providing since July 2012 a
numerical weather prediction (NWP) model for South America, known
as Eta. It has yield excellent results in weather prediction but
has not been used in GNSS positioning. This NWP model was
evaluated in precise point positioning (PPP) and network-based
positioning. Concerning PPP, the best positioning results were
obtained for the station SAGA, located in Amazon region. Using the
NWP model, the 3D RMS are less than 10 cm for all 24 h of data,
whereas the values reach approximately 60 cm for the Hopfield
model. For network-based positioning, the best results were
obtained mainly when the tropospheric characteristics are
critical, in which case an improvement of up to 7.2 % was obtained
in 3D RMS using NWP models.",
doi = "10.1007/s10291-015-0477-x",
url = "http://dx.doi.org/10.1007/s10291-015-0477-x",
issn = "1080-5370 and 1521-1886",
label = "self-archiving-INPE-MCTI-GOV-BR",
language = "en",
targetfile = "alves_using.pdf",
urlaccessdate = "15 jun. 2024"
}