@Article{AlmeidaFranCamp:2020:DaAsNo,
author = "Almeida, Vin{\'{\i}}cius Albuquerque de and Fran{\c{c}}a,
Gutemberg Borges and Campos Velho, Haroldo Fraga de",
affiliation = "{Universidade Federal do Rio de Janeiro (UFRJ)} and {Universidade
Federal do Rio de Janeiro (UFRJ)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Data assimilation for nowcasting in the terminal area of Rio de
Janeiro",
journal = "Ci{\^e}ncia e Natura",
year = "2020",
volume = "42",
number = "eso",
pages = "e40",
keywords = "Data assimilation, WRF model, 3D-Var method, Surface data, Profile
data.",
abstract = "The process of data assimilation, in which meteorological
observations and weather forecasts are merged to provide an
analysis field, has been largely studied by the scientific
community and operational centers. The 3D-Variational (3D-Var)
approach available in the Weather Research and Forecast (WRF)
computer model is evaluated for data assimilation for the Terminal
Control Area of Rio de Janeiro (TCA-RJ). The basic goal of any
variational data assimilation system is to produce an optimal
estimate of the atmospheric state at analysis time. The analysis
field is estimated from a first guess (previous forecast) and an
observation field, weighted by the error matrices. The WRF is
designed for nowcasting (forecasts up to 6h) for the TCA-RJ
through assimilation cycles using surface, sounding, and wind
profile data. The preliminary results show the model sensibility
for each observation type and encourage the use of this technique
operationally for the support of the air traffic management
controlled by the Brazilian Air Force.",
doi = "10.5902/2179460X53224",
url = "http://dx.doi.org/10.5902/2179460X53224",
issn = "0100-8307 and 2179-460X",
label = "lattes: 5142426481528206 3 AlmeidaFranVelh:2020:DaAsNo",
language = "pt",
targetfile = "almeida_data.pdf",
urlaccessdate = "27 abr. 2024"
}