@Article{Sapucci:2014:EvMoWa,
author = "Sapucci, Luiz Fernando",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Evaluation of modeling water-vapor-weighted mean tropospheric
temperature for GNSS-integrated water vapor estimates in Brazil",
journal = "Journal of Applied Meteorology and Climatology",
year = "2014",
volume = "53",
number = "3",
pages = "715--730",
keywords = "Estimation, Global positioning system, Radiosondes, Research,
Troposphere, Upper atmosphere, Water vapor, Weather forecasting,
Global Navigation Satellite Systems, Integrated water vapors,
Meteorological station, Multivariate statistical analysis,
Numerical weather prediction, Radiosonde observations, South
America, Tropospheric temperature, Uncertainty analysis, air
temperature, algorithm, GNSS, GPS, numerical model, radiosonde,
seasonal variation, troposphere, water vapor, weather forecasting,
Brazil.",
abstract = "Meteorological application of Global Navigation Satellite System
(GNSS) data over Brazil has increased significantly in recent
years, motivated by the significant amount of investment from
research agencies. Several projects have, among their principal
objectives, the monitoring of humidity over Brazilian territory.
These research projects require integrated water vapor (IWV)
values with maximum quality, and, accordingly, appropriate data
from the installed meteorological stations, together with the GNSS
antennas, have been used. The model that is applied to estimate
the water-vapor-weighted mean tropospheric temperature (Tm) is a
source of uncertainty in the estimate of IWV values using the
ground-based GNSS receivers in Brazil. Two global models and one
algorithm for Tm, developed through the use of radiosondes,
numerical weather prediction products, and 40-yr ECMWF Re-Analysis
(ERA-40), as well as two regional models, were evaluated using a
dataset of ;78 000 radiosonde profiles collected at 22 stations in
Brazil during a 12-yr period (1999-2010). The regional models
(denoted the Brazilian and regional models) were developed with
the use of multivariate statistical analysis using ~90 000
radiosonde profiles launched at 12 stations over a 32-yr period
(1961-93). The main conclusion is that the Brazilian model and two
global models exhibit similar performance if the complete dataset
and the entire period are taken into consideration. However, for
seasonal and local variations of the Tm values, the Brazilian
model was better than the other two models for most stations. The
Tm values from ERA-40 present no bias, but their scatter is larger
than that in the other models. © 2014 American Meteorological
Society.",
doi = "10.1175/JAMC-D-13-048.1",
url = "http://dx.doi.org/10.1175/JAMC-D-13-048.1",
issn = "1558-8432 and 1558-8424",
label = "scopus 2014-05 Sapucci:2014:EvMoWa",
language = "en",
urlaccessdate = "27 abr. 2024"
}