@InProceedings{RomeroSanCamCinFre:2016:BrVeAp,
author = "Romero, Luis Fernando Salgueiro and Sandri, Sandra Aparecida and
Campos Velho, Haroldo Fraga de and Cintra, Rosangela Saher Correa
and Freitas, Saulo Ribeiro de",
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)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Bred vector applied to the atmospheric dynamics",
year = "2016",
organization = "International Conference on Nonlinear Science and Complexity, 6.",
keywords = "Atmospheric dynamics, global circulation model, bred vector.",
abstract = "One remarkable conquer of science was the numerical weather
prediction. However, some dynamics processes are not well
represented in the simulation, generating a degradation of the
forecasting. In addition, a chaotic atmospheric dynamics is also
noted, with strong dependency of the initial condition. The
initial condition is never known in a completed way. Indeed, the
procedure to determine the initial condition in the operational
prediction center is called data assimilation, where the
background fields (forecasted atmospheric state) is combined with
observations for producing the analysis the new initial condition.
The bred vector approach can be employed to investigate the
sensitivity of a certain process in the atmospheric dynamics
simulation, detecting the fastest-growing instabilities. The
latter scheme is also applied to evaluate the goodness of the
predicted dynamics, i.e., the breeding process is applied to
evaluate the predictability. The bred vector is computed as a
difference between reference and perturbed simulations for the
dynamical system after a time period of integration. After that
time integration period, the bred vector is scaled at the same
size as the initial perturbation, and a new perturbed initial
condition is added to restart the process.",
conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
conference-year = "16-20 May",
language = "en",
urlaccessdate = "28 mar. 2024"
}