@Article{CamposSapuLimaFerr:2018:SeNuWe,
author = "Campos, Thamiris Luisa de Oliveira Brand{\~a}o and Sapucci, Luiz
Fernando and Lima, Wagner and Ferreira, Douglas Silva",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and Climatempo and
{Instituto Tecnol{\'o}gico Vale (ITV)}",
title = "Sensitivity of numerical weather prediction to the choice of
variable for atmospheric moisture analysis into the Brazilian
global model data assimilation system",
journal = "Atmosphere",
year = "2018",
volume = "9",
number = "4",
pages = "e123",
month = "Mar.",
keywords = ": atmospheric water vapor, numerical weather prediction,
variational data assimilation, moisture control variable,
pseudo-relative humidity, normalized relative humidity.",
abstract = "Due to the high spatial and temporal variability of atmospheric
water vapor associated with the deficient methodologies used in
its quantification and the imperfect physics parameterizations
incorporated in the models, there are significant uncertainties in
characterizing the moisture field. The process responsible for
incorporating the information provided by observation into the
numerical weather prediction is denominated data assimilation. The
best result in atmospheric moisture depend on the correct choice
of the moisture control variable. Normalized relative humidity and
pseudo-relative humidity are the variables usually used by the
main weather prediction centers. The objective of this study is to
assess the sensibility of the Center for Weather Forecast and
Climate Studies to choose moisture control variable in the data
assimilation scheme. Experiments using these variables are carried
out. The results show that the pseudo-relative humidity improves
the variables that depend on temperature values but damage the
moisture field. The opposite results show when the simulation used
the normalized relative humidity. These experiments suggest that
the pseudo-relative humidity should be used in the cyclical
process of data assimilation and the normalized relative humidity
should be used in non-cyclic process (e.g., nowcasting application
in high resolution).",
doi = "10.3390/atmos9040123",
url = "http://dx.doi.org/10.3390/atmos9040123",
issn = "2073-4433",
language = "en",
targetfile = "campos_sensitivity.pdf",
urlaccessdate = "27 abr. 2024"
}