@Article{AravéquiaSzFeKaKuKo:2011:EvStAs,
author = "Arav{\'e}quia, Jos{\'e} Antonio and Szunyogh, Istvan and Fertig,
Elana J. and Kalnay, Eugenia and Kuhl, David and Kostelich, Eric
J.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and Texas A\&M
University, College Station, Texas and John Hopkins University,
Baltimore, Maryland and University of Maryland, College Park,
College Park, Maryland and Naval Research Laboratory, Washington,
D.C. and Arizona State University, Tempe, Arizona",
title = "Evaluation of a Strategy for the Assimilation of Satellite
Radiance Observations with the Local Ensemble Transform Kalman
Filter",
journal = "Monthly Weather Review",
year = "2011",
volume = "139",
number = "6",
pages = "1932--1951",
month = "June",
keywords = "assimila{\c{c}}{\~a}o de dados, dados de sat{\'e}lite,
AIRS/AMSU, Filtro de Kalman.",
abstract = "This paper evaluates a strategy for the assimilation of satellite
radiance observations with the local ensemble transform Kalman
filter (LETKF) data assimilation scheme. The assimilation strategy
includes a mechanism to select the radiance observations that are
assimilated at a given grid point and an ensemblebased observation
bias-correction technique. Numerical experiments are carried out
with a reduced (T62L28) resolution version of the model component
of the National Centers for Environmental Prediction (NCEP) Global
Forecast System (GFS). The observations used for the evaluation of
the assimilation strategy are AMSU-A level 1B brightness
temperature data from the Earth Observing System (EOS) Aqua
spacecraft. The assimilation of these observations, in addition to
all operationally assimilated nonradiance observations, leads to a
statistically significant improvement of both the temperature and
wind analysis in the Southern Hemisphere. This result suggests
that the LETKF, combinedwith the proposed data assimilation
strategy for the assimilation of satellite radiance observations,
can efficiently extract information from radiance observations.",
doi = "10.1175/2010MWR3515.1",
url = "http://dx.doi.org/10.1175/2010MWR3515.1",
issn = "0027-0644",
label = "lattes: 4485209823374151 1 Arav{\'e}quiaSzFeKaKuKo:2011:EvStAs",
language = "en",
targetfile = "Aravequia_Evaluation of a Strategy.pdf",
urlaccessdate = "16 jun. 2024"
}