@InProceedings{LongoLGSSFGWA:2004:DeReTi,
author = "Longo, Marcos and Lin, John and Gerbig, Christoph and Silva Dias,
Maria Assuncao Faus da and Silva Dias, Pedro Leite and Freitas,
Saulo Ribeiro de and Gevaerd, Rodrigo and Wofsy, Steven C. and
Artaxo, Paulo",
affiliation = "{CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil}",
title = "Detection of real time influence regions on the eddy flux and
concentration measurements as a support for aircraft measurements
during FIRE",
booktitle = "Anais...",
year = "2004",
organization = "Conferencia Cientifica do LBA, 3.",
abstract = "This work describes a methodology which determines the most
significant regions to have measures token with instrumented
aircrafts. This methodology is based on the influence functions
theory, and will be used during the FIRE campaign, which will take
place in the end of 2004 dry season in Mato Grosso area. At the
first stage, high-resolution numeric weather forecasts will be run
with BRAMS model. Before the campaign, the mean squared error
(MSE) between the forecasts and the radiosonde measurements of
wind velocity will be estimated. From these forecasts, considering
the error, the STILT lagrangean model, which allows the
time-inverted integration, will be applied. STILT will be run from
the 72-hour forecast at fixed points chosen from the concentration
and flux measurement sites. This model outputs a trajectory plume
as well as influence functions. Preliminary sensitivity tests have
been developed in order to verify how adequate this framework is
to the FIRE region. A simulation over Mato Grosso in October 15th
to 17th, 2002 will be presented. During this period, widespread
convection was observed over the focused area. Results show that
the air particles behaviour within the mixing layer and the
vertical displacement due to the convective activity are well
reproduced. When the MSE is considered, the influence function
field becomes suggests a larger area, which is desirable when the
flight over significant regions is planned.",
conference-location = "Brasilia",
conference-year = "27-29 jul.",
language = "en",
organisation = "LBA",
targetfile = "Longo_Lin_LBA.pdf",
urlaccessdate = "20 abr. 2024"
}