Real‐time monitoring of South American smoke particle emissions and transport using a coupled remote sensing/box‐model approach

[1] Since August 2000, the Wild fire Automated Biomass Burning Algorithm (WF_ABBA) has been generating half-hourly fire hot spot analyses for the Western Hemisphere using GOES satellites to provide the Naval Research Laboratory (NRL) Aerosol Analysis and Prediction System (NAAPS) with near-real-time fire products. These are used to generate smoke particle fluxes for aerosol transport forecasting to benefit the scientific, weather, and regulatory communities. In South America, fire hot-spot analysis is shown to be adequate for generating real-time smoke source functions for aerosol forecast models. We present smoke coverage and flux estimates based on the WF_ABBA and NAAPS products. Modeled fluxes of emissions for 2001–2002 are ∼25 + 10 Tg yr−1, similar to previous estimates. Correlations of optical depth with MODIS and AERONET show good agreement with observations. Comparisons of NAAPS aerosol fields with MODIS also show potential clear sky and other biases as smoke is transported into the Atlantic Ocean and the ITCZ.

[1]  D. Ward,et al.  Dynamics associated with total aboveground biomass, C, nutrient pools, and biomass burning of primary forest and pasture in Rondônia, Brazil during SCAR‐B , 1998 .

[2]  J. Dozier,et al.  Identification of Subresolution High Temperature Sources Using a Thermal IR Sensor , 1981 .

[3]  E. Prins,et al.  An overview of GOES‐8 diurnal fire and smoke results for SCAR‐B and 1995 fire season in South America , 1998 .

[4]  Timothy F. Hogan,et al.  Sensitivity Studies of the Navy's Global Forecast Model Parameterizations and Evaluation of Improvements to NOGAPS , 1993 .

[5]  J. Grégoire,et al.  The Global Fire Product: Daily fire occurrence from April 1992 to December 1993 derived from NOAA AVHRR data , 2000 .

[6]  Wei Min Hao,et al.  Spatial and temporal distribution of tropical biomass burning , 1994 .

[7]  Peter V. Hobbs,et al.  Humidification factors of aerosols from biomass burning in Brazil , 1998 .

[8]  B. Holben,et al.  Validation of MODIS aerosol optical depth retrieval over land , 2002 .

[9]  T. Eck,et al.  An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET , 2001 .

[10]  Dwyer Edward,et al.  The Global Fire Product. , 1998 .

[11]  D. Blake,et al.  Physical, chemical, and optical properties of regional hazes dominated by smoke in Brazil , 1998 .

[12]  Jesper Heile Christensen,et al.  The Danish Eulerian Hemispheric Model , 1996 .

[13]  Louis Giglio,et al.  Application of the Dozier retrieval to wildfire characterization: a sensitivity analysis , 2001 .

[14]  Sadam Fujioka,et al.  Code , 2021, SIGGRAPH Art Gallery.

[15]  A. Setzer,et al.  AVHRR temporal analysis of a savanna site in Brazil , 1998 .

[16]  D. Blake,et al.  Emission factors of hydrocarbons, halocarbons, trace gases and particles from biomass burning in Brazil , 1998 .