@Article{VendrascoMacRibFreNeg:2020:EvRaDa,
author = "Vendrasco, {\'E}der Paulo and Machado, Luiz Augusto Toledo and
Ribeiro, B. Z. and Freitas, E. D. and Negri, Renato Galante",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {University at Albany}
and {Universidade de S{\~a}o Paulo (USP)} and {Instituto Nacional
de Pesquisas Espaciais (INPE)}",
title = "Cloud-resolving model applied to nowcasting: An evaluation of
radar data assimilation and microphysics parameterization",
journal = "Weather and Forecasting",
year = "2020",
volume = "35",
number = "6",
pages = "2345--2365",
month = "Dec.",
abstract = "This research explores the benefits of radar data assimilation for
short-range weather forecasts in southeastern Brazil using the
Weather Research and Forecasting (WRF) Models three-dimensional
variational data assimilation (3DVAR) system. Different data
assimilation options are explored, including the cycling
frequency, the number of outer loops, and the use of null-echo
assimilation. Initially, four microphysics parameterizations are
evaluated (Thompson, Morrison, WSM6, and WDM6). The Thompson
parameterization produces the best results, while the other
parameterizations generally overestimate the precipitation
forecast, especially WDSM6. Additionally, the Thompson scheme
tends to overestimate snow, while the Morrison scheme
overestimates graupel. Regarding the data assimilation options,
the results deteriorate and more spurious convection occurs when
using a higher cycling frequency (i.e., 30 min instead of 60 min).
The use of two outer loops produces worse precipitation forecasts
than the use of one outer loop, and the null-echo assimilation is
shown to be an effective way to suppress spurious convection.
However, in some cases, the null-echo assimilation also removes
convective clouds that are not observed by the radar and/or are
still not producing rain, but have the potential to grow into an
intense convective cloud with heavy rainfall. Finally, a cloud
convective mask was implemented using ancillary satellite data to
prevent null-echo assimilation from removing potential convective
clouds. The mask was demonstrated to be beneficial in some
circumstances, but it needs to be carefully evaluated in more
cases to have a more robust conclusion regarding its use.",
doi = "10.1175/WAF-D-20-0017.1",
url = "http://dx.doi.org/10.1175/WAF-D-20-0017.1",
issn = "0882-8156",
label = "self-archiving-INPE-MCTIC-GOV-BR",
language = "en",
targetfile = "vendrasco_cloud.pdf",
urlaccessdate = "21 maio 2024"
}