@Article{SapucciDiniBastAvan:2016:InGlNa,
author = "Sapucci, Luiz Fernando and Diniz, F{\'a}bio Luiz Rodrigues and
Bastarz, Carlos Frederico and Avan{\c{c}}o, Lucas Amarante",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Inclusion of Global Navigation Satellite System radio occultation
data into Center for Weather Forecast and Climate Studies Local
Ensemble Transform Kalman Filter (LETKF) using the Radio
Occultation Processing Package as an observation operator",
journal = "Meteorological Applications",
year = "2016",
volume = "23",
number = "2",
pages = "328--338",
month = "Apr.",
keywords = "Data assimilation, GNSS radio occultation, LETKF, ROPP.",
abstract = "The Local Ensemble Transform Kalman Filter (LETKF) is a system for
data assimilation in the testing phase at the Center for Weather
Forecast and Climate Studies of the Brazilian Institute for Space
Research (CPTEC/INPE). This system introduces significant
advantages over the traditional variational methodology in the
inclusion of new observation systems because determining the
observation operator does not involve inverse problems. The
refractivity profile from the Global Navigation Satellite System
(GNSS) radio occultation (RO) technique is an example of an
additional source of unconventional observation with promising
results over regions with low data coverage. To assimilate RO
profiles using the LETKF system at CPTEC/INPE, the Radio
Occultation Processing Package (ROPP) from Radio Occultation
Meteorology Satellite Applications Facilities/European
Organization for the Exploration of Meteorological Satellites (ROM
SAF/EUMETSAT) was used as an observation operator. The goal of
this work was to investigate the impact on the Atmospheric General
Circulation Model of the CPTEC using ROPP as an operator of the
assimilation of RO data into the LETKF system. The results showed
that positive impacts were obtained in several evaluated
variables, including humidity, particularly over South America,
where the model used by the CPTEC produces better results.",
doi = "10.1002/met.1559",
url = "http://dx.doi.org/10.1002/met.1559",
issn = "1350-4827",
language = "en",
targetfile = "sapucci_inclusion.pdf",
urlaccessdate = "27 abr. 2024"
}