@Article{HernándezBañosSapCucBasSil:2019:AsGPBe,
author = "Hern{\'a}ndez Baños, Ivette and Sapucci, Luiz Fernando and
Cucurull, Lidia and Bastarz, Carlos Frederico and Silveira, Bruna
Barbosa",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {NOAA Atlantic
Oceanographic and Meteorological Laboratory} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Assimilation of GPSRO bending angle profiles into the Brazilian
global atmospheric model",
journal = "Remote Sensing",
year = "2019",
volume = "11",
number = "3",
pages = "e256",
month = "Feb.",
keywords = "radio occultation data, GPSRO, bending angle, data assimilation,
GSI, numerical weather prediction.",
abstract = "The Global Positioning System (GPS) Radio Occultation (RO)
technique allows valuable information to be obtained about the
state of the atmosphere through vertical profiles obtained at
various processing levels. From the point of view of data
assimilation, there is a consensus that less processed data are
preferable because of their lowest addition of uncertainties in
the process. In the GPSRO context, bending angle data are better
to assimilate than refractivity or atmospheric profiles; however,
these data have not been properly explored by data assimilation at
the CPTEC (acronym in Portuguese for Center for Weather Forecast
and Climate Studies). In this study, the benefits and possible
deficiencies of the CPTEC modeling system for this data source are
investigated. Three numerical experiments were conducted,
assimilating bending angles and refractivity profiles in the
Gridpoint Statistical Interpolation (GSI) system coupled with the
Brazilian Global Atmospheric Model (BAM). The results highlighted
the need for further studies to explore the representation of
meteorological systems at the higher levels of the BAM model.
Nevertheless, more benefits were achieved using bending angle data
compared with the results obtained assimilating refractivity
profiles. The highest gain was in the data usage exploring 73.4%
of the potential of the RO technique when bending angles are
assimilated. Additionally, gains of 3.5% and 2.5% were found in
the root mean square error values in the zonal and meridional wind
components and geopotencial height at 250 hPa, respectively.",
doi = "10.3390/rs11030256",
url = "http://dx.doi.org/10.3390/rs11030256",
issn = "2072-4292",
language = "en",
targetfile = "banos_assimilation.pdf",
urlaccessdate = "26 abr. 2024"
}