@Article{AzevedoGonçBastSilv:2017:ObSyEx,
author = "Azevedo, Helena Barbieri de and Gon{\c{c}}alves, Luis Gustavo
Gon{\c{c}}alves de and Bastarz, Carlos Frederico and Silveira,
Bruna Barbosa",
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 = "Observing system experiments in a 3d-var data assimilation system
at cptec/inpe",
journal = "Weather and Forecasting",
year = "2017",
volume = "32",
pages = "873",
abstract = "The Center for Weather Forecast and Climate Studies [Centro de
Previs{\~a}o e Tempo e Estudos Clim{\'a}ticos (CPTEC)] at the
Brazilian National Institute for Space Research [Instituto
Nacional de Pesquisas Espaciais (INPE)] has recently operationally
implemented a three-dimensional variational data assimilation
(3DVAR) scheme based on the Gridpoint Statistical Interpolation
analysis system (GSI). Implementation of the GSI system within the
atmospheric global circulation model from CPTEC/INPE
(AGCM-CPTEC/INPE) is hereafter referred to as the Global 3DVAR
(G3DVAR) system. The results of an observing system experiment
(OSE) measuring the impacts of radiosonde, satellite radiance, and
GPS radio occultation (RO) data on the new G3DVAR system are
presented here. The observational impact of each of these
platforms was evaluated by measuring the degradation of the
geopotential height anomaly correlation and the amplification of
the RMSE of the wind. Losing the radiosonde, GPS RO, and satellite
radiance data in the OSE resulted in negative impacts on the
geopotential height anomaly correlations globally. Nevertheless,
the strongest impacts were found over the Southern Hemisphere and
South America when satellite radiance data were withheld from the
data assimilation system.",
doi = "10.1175/waf-d-15-0168.1",
url = "http://dx.doi.org/10.1175/waf-d-15-0168.1",
issn = "0882-8156",
label = "lattes: 9647518004057701 1
AzevedoGon{\c{c}}BastSilv:2017:OBSYEX",
language = "en",
urlaccessdate = "26 abr. 2024"
}