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Titolo:
Isoprene emission estimates and uncertainties for the Central African EXPRESSO study domain
Autore:
Guenther, A; Baugh, B; Brasseur, G; Greenberg, J; Harley, P; Klinger, L; Serca, D; Vierling, L;
Indirizzi:
Natl Ctr Atmospher Res, Div Atmospher Chem, Boulder, CO 80307 USA Natl CtrAtmospher Res Boulder CO USA 80307 r Chem, Boulder, CO 80307 USA Univ Colorado, Dept Epo Biol, Boulder, CO 80309 USA Univ Colorado BoulderCO USA 80309 , Dept Epo Biol, Boulder, CO 80309 USA
Titolo Testata:
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
fascicolo: D23, volume: 104, anno: 1999,
pagine: 30625 - 30639
Fonte:
ISI
Lingua:
ENG
Soggetto:
ORGANIC-COMPOUND EMISSIONS; UNITED-STATES; MODEL;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
24
Recensione:
Indirizzi per estratti:
Indirizzo: Guenther, A Natl Ctr Atmospher Res, Div Atmospher Chem, POB 3000, Boulder,CO 80307 USA Natl Ctr Atmospher Res POB 3000 Boulder CO USA 80307 80307 USA
Citazione:
A. Guenther et al., "Isoprene emission estimates and uncertainties for the Central African EXPRESSO study domain", J GEO RES-A, 104(D23), 1999, pp. 30625-30639

Abstract

A global three-dimensional (3-D) chemistry and transport model was used todemonstrate that a factor of 2 decrease in isoprene and monoterpene emissions results in significant (10-30%) changes in predicted concentration distributions of compounds such as OH, MPAN, NOx, H2O2, O-3, and CO. Isoprene and monoterpenes were predicted to have a particularly strong impact on tropical regions, including central Africa. The 1996 Experiment for Regional Sources and Sinks of Oxidants (EXPRESSO) study included a number of experiments that improved our ability to predict isoprene and monoterpene emissions from central Africa, The results of these experiments have been incorporated into an isoprene emission model that predicts hourly emissions on a spatial scale of about 1 km(2). The model uses procedures that are suitable for estimating global emissions but uses regional measurements to accurately parameterize the model. Comparisons with above-canopy aircraft and tower fluxmeasurements demonstrate that the model can estimate emissions within a factor of 2 for regions where ground measurements of model inputs are available. The annual central African isoprene emission predicted by our revised model (35 Tg C) is only 14% less than that predicted by our earlier model, but there are considerable differences in estimates of individual model variables. The models differ by more than a factor of 5 for specific times and locations, which indicates that there are large uncertainties in emission estimates for at least some locations and seasons. The good agreement obtained for the EXPRESSO study field sites, however, suggests that the model canpredict reasonable estimates if representative field measurements are usedto parameterize the model.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 08/07/20 alle ore 07:42:40