Modeling the South American regional smoke plume: aerosol optical depth variability and surface shortwave flux perturbation

被引:44
作者
Rosario, N. E. [1 ,2 ]
Longo, K. M. [1 ]
Freitas, S. R. [1 ]
Yamasoe, M. A. [2 ]
Fonseca, R. M. [1 ]
机构
[1] Natl Inst Space Res, Sao Jose Dos Campos, Brazil
[2] Univ Sao Paulo, Dept Atmospher Sci, Sao Paulo, Brazil
关键词
BIOMASS BURNING EMISSIONS; TRACER TRANSPORT MODEL; SYSTEM CATT-BRAMS; BRAZILIAN DEVELOPMENTS; COUPLED AEROSOL; PART; CLIMATE; FIRE; ATMOSPHERE; PRODUCTS;
D O I
10.5194/acp-13-2923-2013
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Intra-seasonal variability of smoke aerosol optical depth (AOD) and downwelling solar irradiance at the surface during the 2002 biomass burning season in South America was modeled using the Coupled Chemistry-Aerosol-Tracers Transport model with the Brazilian developments on the Regional Atmospheric Modeling System (CCATT-BRAMS). Measurements of total and fine mode fraction (FMF) AOD from the AErosol RObotic NETwork (AERONET) and solar irradiance at the surface from the Solar Radiation Network (SolRad-NET) were used to evaluate model results. In general, the major features associated with AOD evolution over the southern part of the Amazon basin and cerrado ecosystem are captured by the model. The main discrepancies were found for high aerosol loading events. In the northeastern portion of the Amazon basin the model systematically underestimated total AOD, as expected, since smoke contribution is not dominant as it is in the southern portion and emissions other than smoke were not considered in the simulation. Better agreement was obtained comparing the model results with observed FMF AOD, which pointed out the relevance of coarse mode aerosol emission in that region. Likewise, major discrepancies over cerrado during high AOD events were found to be associated with coarse mode aerosol omission in our model. The issue of high aerosol loading events in the southern part of the Amazon was related to difficulties in predicting the smoke AOD field, which was discussed in the context of emissions shortcomings. The Cuiaba cerrado site was the only one where the highest quality AERONET data were unavailable for both total and FMF AOD. Thus, lower quality data were used. Root-mean-square error (RMSE) between the model and observed FMF AOD decreased from 0.34 to 0.19 when extreme AOD events (FMF AOD(550nm) >= 1.0) and Cuiaba were excluded from the analysis. Downward surface solar irradiance comparisons also followed similar trends when extreme AOD were excluded. This highlights the need to improve modelling of the regional smoke plume in order to enhance the accuracy of the radiative energy budget. An aerosol optical model based on the mean intensive properties of smoke from the southern part of the Amazon basin produced a radiative flux perturbation efficiency (RFPE) of -158 Wm(-2)/AOD(550nm) at noon. This value falls between -154 Wm(-2)/AOD(550nm) and -187 Wm(-2)/AOD(550nm), the range obtained when spatially varying optical models were considered. The 24 h average surface radiative flux perturbation over the biomass burning season varied from -55 Wm(-2) close to smoke sources in the southern part of the Amazon basin and cerrado to -10 Wm(-2) in remote regions of the southeast Brazilian coast.
引用
收藏
页码:2923 / 2938
页数:16
相关论文
共 62 条
[21]   Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: A review [J].
Haywood, J ;
Boucher, O .
REVIEWS OF GEOPHYSICS, 2000, 38 (04) :513-543
[22]   Regional representativity of AERONET observation sites during the biomass burning season in South America determined by correlation studies with MODIS Aerosol Optical Depth [J].
Hoelzemann, Judith J. ;
Longo, Karla M. ;
Fonseca, Rafael M. ;
do Rosario, Nilton M. E. ;
Elbern, Hendrik ;
Freitas, Saulo R. ;
Pires, Carlos .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2009, 114
[23]   AERONET - A federated instrument network and data archive for aerosol characterization [J].
Holben, BN ;
Eck, TF ;
Slutsker, I ;
Tanre, D ;
Buis, JP ;
Setzer, A ;
Vermote, E ;
Reagan, JA ;
Kaufman, YJ ;
Nakajima, T ;
Lavenu, F ;
Jankowiak, I ;
Smirnov, A .
REMOTE SENSING OF ENVIRONMENT, 1998, 66 (01) :1-16
[24]   Baseline uncertainties in biomass burning emission models resulting from spatial error in satellite active fire location data [J].
Hyer, Edward J. ;
Reid, Jeffrey S. .
GEOPHYSICAL RESEARCH LETTERS, 2009, 36
[25]   An AeroCom initial assessment - optical properties in aerosol component modules of global models [J].
Kinne, S. ;
Schulz, M. ;
Textor, C. ;
Guibert, S. ;
Balkanski, Y. ;
Bauer, S. E. ;
Berntsen, T. ;
Berglen, T. F. ;
Boucher, O. ;
Chin, M. ;
Collins, W. ;
Dentener, F. ;
Diehl, T. ;
Easter, R. ;
Feichter, J. ;
Fillmore, D. ;
Ghan, S. ;
Ginoux, P. ;
Gong, S. ;
Grini, A. ;
Hendricks, J.E. ;
Herzog, M. ;
Horowitz, L. ;
Isaksen, I. ;
Iversen, T. ;
Kirkavag, A. ;
Kloster, S. ;
Koch, D. ;
Kristjansson, J. E. ;
Krol, M. ;
Lauer, A. ;
Lamarque, J. F. ;
Lesins, G. ;
Liu, X. ;
Lohmann, U. ;
Montanaro, V. ;
Myhre, G. ;
Penner, J. E. ;
Pitari, G. ;
Reddy, S. ;
Seland, O. ;
Stier, P. ;
Takemura, T. ;
Tie, X. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2006, 6 :1815-1834
[26]   Global evaluation of the Collection 5 MODIS dark-target aerosol products over land [J].
Levy, R. C. ;
Remer, L. A. ;
Kleidman, R. G. ;
Mattoo, S. ;
Ichoku, C. ;
Kahn, R. ;
Eck, T. F. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2010, 10 (21) :10399-10420
[27]   Total aerosol effect: radiative forcing or radiative flux perturbation? [J].
Lohmann, U. ;
Rotstayn, L. ;
Storelvmo, T. ;
Jones, A. ;
Menon, S. ;
Quaas, J. ;
Ekman, A. M. L. ;
Koch, D. ;
Ruedy, R. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2010, 10 (07) :3235-3246
[28]  
Longo KM, 2009, GEOPHYS MONOGR SER, V186, P207, DOI 10.1029/2008GM000847
[29]   The Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS) - Part 2: Model sensitivity to the biomass burning [J].
Longo, K. M. ;
Freitas, S. R. ;
Andreae, M. O. ;
Setzer, A. ;
Prins, E. ;
Artaxo, P. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2010, 10 (13) :5785-5795
[30]  
Longo K.M., 2013, Geosci. Model Dev. Discuss, V6, P1173, DOI DOI 10.5194/GMDD-6-1173-2013