%0 Journal Article
%@nexthigherunit 8JMKD3MGPCW/43SKC35
%@nexthigherunit 8JMKD3MGPCW/46JKC45
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@archivingpolicy denypublisher denyfinaldraft12
%@issn 1567-7419
%@resumeid 8JMKD3MGP5W/3C9JJ7M
%@resumeid 8JMKD3MGP5W/3C9JHKQ
%@usergroup administrator
%@usergroup fabia
%3 Freitas_Monitoring the transport of biomass.pdf
%@dissemination WEBSCI; PORTALCAPES.
%@secondarykey INPE-12414-PRE/7718
%A Freitas, Saulo Ribeiro de,
%A Longo, Karla Maria,
%A Silva Dias, Maria Assuncao Faus da,
%A Silva Dias, Pedro L.,
%A Chatfield, Robert,
%A Prins, Elaine,
%A Artaxo, Paulo,
%A Grell, Georg A.,
%A Recuero, Fernando S.,
%T Monitoring the transport of biomass  burning emissions in South America
%B Environmental Fluid Mechanics
%8 Apr.
%D 2005
%V 5
%N 1-2
%P 135 - 167
%2 sid.inpe.br/iris@1915/2005/04.05.11.25.09
%4 sid.inpe.br/iris@1915/2005/04.05.11.25
%K Aerosol transport, air pollution, atmospheric modeling, biomass burning, climate change, long-distance transpol1, weather forecast.
%X The atmospheric transport of biomass buming emissions in the South American and African continents is being monitored annually using a numerical simulation of air mass motions; we use a tracer transport capability developed within RAMS (Regional Atmospheric Modeling Sys- tem) coupled to an emission modelo Mass conservation equations are solved for carbon monoxide (CO) and particulate material (PM2.5). Source emissions of trace gases and particles associated with biomass buming activities in tropical forest, savanna and pasture have been parameterized and introduced into the modelo The sources are distributed spatially and temporally and assimilated daily using the biomass buming locations detected by remote sensing. Advection effects (at grid scale) and turbulent transport (at sub-grid scale) are provided by the RAMS parameterizations. A sub- grid transport parameterization associated with moist deep and shallow convection, not explicitly resolved by lhe modeldue to its low spatial resolution, has also been introduced. Sinks associated with lhe process of wet and dry removal of aerosol particles and chemical transformation of gases are parameterized and introduced in lhe mass conservation equation. An operational system has been implemented which produces daily 48-h numerical simulations (including 24-h forecasts) of CO and PM2.5, in addition to traditional meteorological fields. The good prediction skills of lhe model are demonstrated by comparisons with time series of PM2.5 measured at the surface.
%@language English
%@copyholder SID/SCD
%@e-mailaddress atus@cptec.inpe.br
%@secondarytype PRE PI
%@area MET
%@group DMD-INPE-MCT-BR
%@group DMA-INPE-MCT-BR
%@affiliation CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil